Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf. "Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier". IEEE Transactions on Evolutionary Computation. 2024. 13pp. (Accepted on 20 December 2024).
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang. "Semantics-Guided Multi-Task Genetic Programming for Multi-Output Regression". Pattern Recognition . 2024. 26pp. (Accepted on 16 December 2024).
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin. "Surrogate-Assisted Neighborhood Search with Only A Few Weight Vectors for Expensive Large-Scale Multiobjective Binary Optimization". IEEE Transactions on Evolutionary Computation. 2024. 13pp. (Accepted on 03 December 2024).
Wenbin Pei, Yuyang Cui, Bing Xue, Mengjie Zhang, Yaqing Hou, Guangyu Zou,and Zhang Qiang. "DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning". IEEE Transactions on Evolutionary Computation. 2024. 13pp. (Accepted on 02 December 2024).
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang. "Learn to Optimise for Job Shop Scheduling: A Survey with Comparison between Genetic Programming and Reinforcement Learning". Artificial Intelligence Review. 2024. (Accepted on 01 Dec 2024).
Tong Guo, Yi Mei, Mengjie Zhang, Ruofei Sun, Yanbo Zhu, and Wenbo Du. "Genetic Programming with Multi-fidelity Surrogates for Large-scale Dynamic Air Traffic Flow Management". IEEE Transactions on Evolutionary Computation. 2024. 15pp. (Accepted on 30 Nov 2024).
Junhong Zhao, Bing Xue, Mengjie Zhang. "SALENet: Structure-Aware Lighting Estimations from a Single Image for Indoor Environments". IEEE Transactions on Image Processing. 2024. 14pp. (Accepted on 18 Nov 2024).
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang. "Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection". Data Science and Engineering. 2024. (Accepted on 12 Nov 2024).
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Genetic Programming-based Feature Selection for Symbolic Regression on Incomplete Data". Evolutionary Computation (ECJ). 2024. 30pp. (Accepted on 08 Nov 2024).
Emrah Hancer, Bing Xue, Mengjie Zhang. "Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach with Correlation-Driven Refinement". IEEE Transactions on Emerging Topics in Computational Intelligence. 2024. 15pp. (Accepted on 05 November 2024).
Ziyi Sun, Bing Xue, Mengjie Zhang, and Jan Schindler. "YOLOv8E: An Efficient YOLOv8 Method for Instance Segmentation of Individual Tree Crowns in Wellington City, New Zealand". Journal of the Royal Society of New Zealand. 2024. (Accepted on 26 October 2024).
Botao Jiao, Heitor Murilo Gomes, Bing Xue, Yinan Guo, Ling Wang, and Mengjie Zhang. "A Semi-Supervised Active Learning Neural Network for Data Streams with Concept Drift". IEEE Computational Intelligence Magazine. 2024. 14pp. (Accepted on 20 October 2024).
Yuye Zhang, Fangfang Zhang, Paula Casanovas, Bing Xue, Mengjie Zhang, Jane E. Symonds. "A Study of Feature Importance for King Salmon Health Classification with Feature Selection". Intelligent Marine Technology and Systems. 2024. 19pp. (Accepted on 16 October 2024).
Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue,
and Mengjie Zhang. "An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming". IEEE Transactions on Evolutionary Computation. 2024. (Accepted on 6 September 2024).
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. "Genetic Programming for Automatically Evolving Multiple Features to Classification Evolutionary Computation". Evolutionary Computation (ECJ). 2024. 27pp. (Accepted on 06 September 2024).
Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang. "A genetic programming approach with adaptive region detection to skin cancer image classification". Journal of Automation and Intelligence. 2024. 11pp.DOI: 10.1016/j.jai.2024.08.003. (Accepted on 01 September 2024).
Fei Ming, Bing Xue, Mengjie Zhang, Wenyin Gong, and Huixiang Zhen. "Constrained Multi-objective Optimization via Relaxations on Both Constraints and Objectives". IEEE Transactions on Artificial Intelligence. 2024. 13pp. (Accepted on 31 August 2024).
Fangfang Zhang, Gaofeng Shi, Yi Mei, and Mengjie Zhang. "Multi-objective Dynamic Flexible Job Shop Scheduling with Biased Objectives via Multitask Genetic Programming". IEEE Transactions on Artificial Intelligence. 2024. 14pp. (Accepted on 31 August 2024).
Jiabin Lin, Qi Chen, Bing Xue and Mengjie Zhang. "Evolutionary Sequential Transfer Learning for Multi-objective Feature Selection in Classification". IEEE Transactions on Emerging Topics in Computational Intelligence. 2024. (Accepted on 25 August 2024).
Yiming Peng, Gang Chen, Mengjie Zhang, Bing Xue. "Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization". Memetic Computing. August 2024. 22p. https://doi.org/10.1007/s12293-024-00419-1.
Mitchell Rogers, Mihailo Azhar, Stefano Schenone, Simon Thrush, Bing Xue, Mengjie Zhang, and Patrice Delmas. "Evolving Multispectral Sensor Configurations Using Genetic Programming for Estuary Health Monitoring". Journal of the Royal Society of New Zealand. TNZR (2393297), 1-31. https://doi.org/10.1080/03036758.2024.2393297 (published online on 21 August 2024).
Bach Hoai Nguyen,Bing Xue,Mengjie Zhang. "Evolutionary Sparsity Regularisation-based Feature Selection for Binary Classification". Evolutionary Computation (ECJ). DOI: 10.1162/evco_a_00358. 2024. 33pp. (Accepted on 11 August 2024).
Ruwang Jiao, Bing Xue, Mengjie Zhang. "Sparse Learning-based Feature Selection in Classification: A Multi-objective Perspective". IEEE Transactions on Emerging Topics in Computational Intelligence. 2024. (Accepted on 06 August 2024).
Junhong Zhao, Bing Xue, Mengjie Zhang. "SGformer: Boosting Transformers for Indoor Lighting Estimation from a Single Image". Computational Visual Media. 2024. 16pp. DOI: 10.1007/s41095-024-0447-8. (online 21 August 2024).
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang. "Automatically Evolving Interpretable Feature Vectors using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection". IEEE Computational Intelligence Magazine. Volume 19, Issue 3, August 2024. DOI: 10.1109/MCI.2024.3401342. (Accepted 11 July 2024)
Yifan Yang, Gang Chen, Hui Ma, Sven Hartmann, and Mengjie Zhang. "Enhancing Generalization in Genetic Programming Hyper-heuristics through Mini-batch Sampling Strategies for Dynamic Workflow Scheduling". Information Sciences. 2024. (Accepted on 06 June 2024).
Jing Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang. "A Multi-Tree Genetic Programming-based Feature Construction Approach to Crop Classification Using Hyperspectral Images". IEEE Transactions on Geoscience and Remote Sensing (TGRS). 2024. (Accepted on 03 June 2024).
Hang Xu, Bing Xue, Mengjie Zhang. "Probe Population based Initialization and Genetic Pool based Reproduction for Evolutionary Bi-Objective Feature Selection". IEEE Transactions on Evolutionary Computation. 2024. (Accepted on 16 May 2024).
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang. "Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling". IEEE Transactions on Evolutionary Computation. 2024. (Accepted on 28 April 2024).
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang. "A Multi-tree Genetic Programming-Based Ensemble Approach to Image Classification with Limited Training Data". IEEE Computational Intelligence Magazine. 2024. (Accepted on 24 April 2024).
Yifan Yang, Gang Chen, Hui Ma, Sven Hartmann, and Mengjie Zhang. "Dual-Tree Genetic Programming with Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing". IEEE Transactions on Evolutionary Computation. 2024. (Accepted on 18 April 2024).
Zaixing Sun, Yi Mei, Fangfang Zhang, Hejiao Huang, Chonglin Gu, and Mengjie Zhang. "Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds". IEEE Transactions on Services Computing. 2024. (Accepted on 16 April 2024).
Junhong Zhao, Bing Xue, Ross Vennel, Mengjie Zhang. "Hierarchical Mussel Farm Reconstruction from Video with Object2
Tracking". Journal of the Royal Society of New Zealand. 2024. (Accepted on 13 April 2024).
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang. "Multi-tree Genetic Programming for Learning Color and Multi-scale Features in Image Classification". IEEE Transactions on Evolutionary Computation. 2024. (Accepted on 20 March 2024).
Emrah Hancer, Bing Xue, Mengjie Zhang. "A Multimodal Multi-Objective Evolutionary Algorithm for Filter Feature Selection in Multi-Label Classification". IEEE Transactions on Artificial Intelligence. 2024. (Accepted on 18 March 2024).
Gonglin Yuan, Bing Xue, Mengjie Zhang. "An Evolutionary Neural Architecture Search Method based on Performance Prediction and Weight Inheritance". Information Sciences. 2024. (Accepted on 18 March 2024).
Fangfang Zhang, Yuye Zhang, Paula Casanovas, Jessica Schattschneider, Seumas P. Walker, Bing Xue, Mengjie Zhang, and Jane E. Symonds. "Health Prediction for King Salmon via Evolutionary Machine Learning with Genetic Programming". Journal of the Royal Society of New Zealand. 2024. (Accepted on 08 March 2024).
Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang. "Genetic Programming with Flexible Region Detection for Fine-Grained Image Classification". IEEE Transactions on Evolutionary Computation. 2024. (Accepted on 25 Feb 2024).
Ruwang Jiao, Bing Xue, Mengjie Zhang. "Learning to Preselection: A Filter-based Performance Predictor for Multiobjective Feature Selection in Classification". IEEE Transactions on Evolutionary Computation. 2024. (Accepted on 25 Feb 2024).
Yun Liu, Fangfang Zhang, Yanan Sun, and Mengjie Zhang. "Evolutionary Trainer-based Deep Q-Network for Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. 2024. (Accepted on 14 Feb 2024).
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Genetic Programming for Feature Selection Based on Feature Removal Impact in High-dimensional Symbolic Regression". IEEE Transactions on Emerging Topics in Computational Intelligence.. 2024. (Accepted on 08 Jan 2024).
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang. "Toward Evolving Dispatching Rules with Flow Control Operations by Grammar-guided Linear Genetic Programming". IEEE Transactions on Evolutionary Computation. 2023. (Accepted on 04 Jan 2024).
Diem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon and Mengjie Zhang. "Fairness Optimisation with Multi-objective
Swarms for Explainable Classifiers on Data Streams". Complex & Intelligent Systems. 2024. (Accepted on 01 Jan 2024).
Shihui Liu, Meiping Song, Bing Xue, Chein-I Chang, and Mengjie Zhang. "Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing". IEEE Transactions on Geoscience and Remote Sensing (TGRS). 2023. (Accepted on 19 December 2023)
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf. "Bridging Directed Acyclic Graphs to Linear Representations in Linear Genetic Programming: A Case Study of Dynamic Scheduling". Genetic Programming and Evolvable Machines. 2023. (Accepted on 14 December 2023)
Bach Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang. "Evolutionary Instance Selection with Multiple Partial Adaptive Classifiers for Domain Adaptation". IEEE Transactions on Evolutionary Computation. 2023.
DOI: 10.1109/TEVC.2023.3346406. (Accepted on 11 December 2023)
Jiabin Lin, Qi Chen, Bing Xue and Mengjie Zhang. "Evolutionary Multitasking for Multi-objective Feature Selection in Classification". IEEE Transactions on Evolutionary Computation. 2023.
DOI: 10.1109/TEVC.2023.3338740. (Accepted on 25 November 2023)
Wenlong Fu, Bing Xue, Xiaoying Gao, and Mengjie Zhang. "Genetic Programming for Document Classification: A Transductive Transfer Learning System". IEEE
Transactions on Cybernetics. 2023.
DOI: 10.1109/TCYB.2023.3338266. (Accepted on 23 November 2023)
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang. "Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison". IEEE
Computational Intelligence Magazine. 2023. (Accepted on 21 November 2023)
Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang. "Balancing Different Optimization Difficulty Between Objectives in Multi-Objective Feature Selection". IEEE Transactions on Evolutionary Computation.
DOI: 10.1109/TEVC.2023.3334233. (Accepted on 15 November 2023)
Qinglan Fan, Ying Bi, Bing Xue and Mengjie Zhang. "A Genetic Programming-based Method for Image Classification with Small Training Data Knowledge-Based Systems". Knowledge Based Systems. Vol. 283, 11 January 2024, pp. 111188(1-15).
DOI: 10.1016/j.knosys.2023.111188.
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang. "Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution with Single Individuals and Ensembles". IEEE Transactions on Evolutionary Computation. (Accepted on 10 November 2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie
Zhang. "A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression". IEEE Transactions on Evolutionary Computation. (Accepted on 26 October 2023)
Isidro M. Alvarez, Trung Nguyen, Will Neil Browne, Mengjie Zhang. "A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems". Evolutionary Computation (ECJ, MIT Press). (Accepted on 20 October 2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie
Zhang. "A Geometric Semantic Macro-Crossover Operator for Evolutionary Feature Construction in Regression". Genetic Programming and Evolvable Machines. Vol. 25, Article Number 2, 2024.
DOI: 10.1007/s10710-023-09465-z.
Emrah Hancer, Bing Xue, Mengjie Zhang. "An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios". Knowledge-Based Systems. Vol. 280, 25 November 2023, 111008(1-15).
DOI: 10.1016/j.knosys.2023.111008.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie
Zhang. "Modular Multi-Tree Genetic Programming for Evolutionary Feature Construction for Regression". IEEE Transactions on Evolutionary Computation. 15pp.
DOI: 10.1109/TEVC.2023.3318638. (Accepted on 11 September 2023)
Kaan Demir, Bach Hoai Nguyen, Bing Xue, and Mengjie Zhang. "Dual
Sparse Structured Subspaces and Graph Regularisation for Particle
Swarm Optimisation-based Multi-label Feature Selection". IEEE
Computational Intelligence Magazine. 2023. (Accepted on 3 August
2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang. "MAP-Elites for Genetic Programming-based Ensemble Learning: An Interactive Approach". IEEE Computational Intelligence Magazine. Vol. 18, Issue 4, 2023. pp. 62 - 63.
DOI: 10.1109/MCI.2023.3304085.
Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin. "Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization". IEEE Transactions on Evolutionary Computation. 15pp.
DOI: 10.1109/TEVC.2023.3300181. (Accepted on 26 July 2023)
Rui Zhang, Yanan Sun, Mengjie Zhang. "GPU Based Genetic
Programming for Faster Feature Extraction in Binary Image
Classification". IEEE Transactions on
Evolutionary Computation. 15pp.
DOI: 10.1109/TEVC.2023.3294639. ((Accepted on 09 July 2023)
Christian Raymond, Qi Chen, Bing Xue and Mengjie Zhang. "Learning
Symbolic Model-Agnostic Loss Functions via Meta-Learning". IEEE
Transactions on Pattern Analysis and Machine Intelligence.Vol. 45, Issue 2023.11. 2023, pp. pp. 13699-13714. DOI: 10.1109/TPAMI.2023.3294394.
Dylon Zeng, Ivy Liu, Ying Bi, Ross Vennell, Dana Briscoe, Bing
Xue, Mengjie Zhang. "A New Multi-Object Tracking Pipeline Based on
Computer Vision Techniques for Mussel Farms". Journal of the
Royal Society of New Zealand.
DOI: 10.1080/03036758.2023.2240466. (Accepted on 04 July)
Ruwang Jiao, Bach Nguyen, Bing Xue, Mengjie Zhang. "A Survey on
Evolutionary Multiobjective Feature Selection in Classification:
Approaches, Applications, and Challenges". IEEE Transactions on
Evolutionary Computation. 15pp.
DOI: 10.1109/TEVC.2023.3292527. (Accepted on 27 June 2023)
Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin. "Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issue". ACM Computing Surveys. Vol. 56, Issue 2, 2023, pp. 41(1-34).
DOI: 10.1145/3603704.
Ying Bi, Bing Xue, Mengjie Zhang. "A Genetic Programming Approach
with Building Block Evolving and Reusing to Image
Classification". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2023.3284712. (Accepted on 30 May 2023)
Anda Li, Bing Xue, Mengjie Zhang. "Multi-Objective Particle Swarm
Optimization for Key Quality Feature Selection in Complex
Manufacturing Processes". Information Sciences.Volume 641, September 2023, pp. 119062 (1-24).
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary
Yen. "Split-Level Evolutionary Neural Architecture Search with Elite
Weight Inheritance". IEEE Transactions on Neural Networks and
Learning Systems. 15pp.
DOI: 10.1109/TNNLS.2023.3269816. (Accepted on 19 April 2023)
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Multi-Tree
Genetic Programming with Feature-based Transfer Learning for Symbolic
Regression on Incomplete Data". IEEE Transactions on
Cybernetics. 14pp.
DOI: 10.1109/TCYB.2023.3270319. (Accepted on 16 April 2023)
Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen
Tan. "Architecture Augmentation for Performance Predictor Based on
Graph Isomorphism". IEEE Transactions on Cybernetics.
14pp.
DOI: 10.1109/TCYB.2023.3267109. (Accepted on 10 April 2023)
Zhixing Huang, Fangfang Zhang, Yi Mei and Mengjie Zhang. "Multitask Linear Genetic Programming with Shared Individuals and its Application to Dynamic Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. 15pp.
DOI: 10.1109/TEVC.2023.3263871. (Accepted on 27 Mar 2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. "Feature
Clustering-Assisted Feature Selection Approach with Differential
Evolution". Pattern Recognition. Vol. 140, August 2023. pp. 109523 (1-13).
DOI: 10.1016/j.patcog.2023.109523. (Accepted on 11 March 2023)
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang
Zhang. "A Survey on Unbalanced Classification: How Can Evolutionary
Computation Help?". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2023.3257230. (Accepted on 07 Mar 2023)
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang. "Survey on
Genetic Programming and Machine Learning Techniques for Heuristic
Design in Job Shop Scheduling". IEEE Transactions on Evolutionary
Computation.
DOI: 10.1109/TEVC.2023.3255246.
Hua Yu, Xuanzhe Fan, Yaqing Hou, Wenbin Pei, Hongwei Ge, Xin Yang,
Dongsheng Zhou, Qiang Zhang and Mengjie Zhang. "Towards Realistic 3D
Human Motion Prediction with A Spatio-temporal Cross-transformer
Approach". IEEE Transactions on Circuits and Systems for Video
Technology. Vol. 33, Issue 10. 2023. pp. 5707 - 5720.
DOI: 10.1109/TCSVT.2023.3255186.
Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, Mengjie Zhang. "Genetic Programming for Dynamic Workflow Scheduling in Fog Computing". Transactions on Services Computing. Vol. 16, Issue 4. 2023. pp. 2657 - 2671.
DOI: 10.1109/TSC.2023.3249160. (Accepted on 20-Feb-2023)
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang. "Genetic
Programming with Lexicase Selection for Large-scale Dynamic Flexible
Job Shop Scheduling". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2023.3244607. (Accepted on 04 Feb 2023)
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie
Zhang. "SR-Forest: A Genetic Programming based Heterogeneous Ensemble
Learning Method". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2023.3243172. (Accepted on 30 Jan 2023)
Gonglin Yuan, Bing Xue, Mengjie Zhang. "Particle Swarm
Optimization for Efficiently Evolving Deep Convolutional Neural
Networks Using an Autoencoder-based Encoding Strategy". IEEE
Transactions on Evolutionary Computation. 15pp.
DOI: 10.1109/TEVC.2023.3245322. (Accepted on 30
Jan 2023)
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. "Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution". Information Sciences Vol. 626, May 2023. pp. 586-606.
DOI: 10.1016/j.ins.2022.12.117.
Shaolin Wang, Yi Mei, Mengjie Zhang. "Explaining Genetic
Programming-Evolved Routing Policies for Uncertain Capacitated Arc
Routing Problems". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2023.3238741. (Accepted on 17-Jan-2022)
Haitong Zhao, Changsheng Zhang, Bing Xue, Mengjie Zhang, and Bin
Zhang. "A Two-Stage Differential Evolutionary Algorithm for Deep
Ensemble Model Generation". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2022.3231387. (Accepted on 15-Dec-2022)
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang. "A Multi-objective
Genetic Algorithm to Evolving Local Interpretable Model-agnostic
Explanations for Deep Neural Networks in Image Classification".
IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2022.3225591. (Accepted on 25-Nov-2022)
Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie
Zhang. "Explainable Artificial Intelligence by Genetic Programming: A
Survey". IEEE Transactions on Evolutionary Computation. Vol. 27, Issue 3 2023. pp. 621 - 641.
DOI: 10.1109/TEVC.2022.3225509.
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie
Zhang. "A Survey on Evolutionary Computation for Computer Vision and
Image Analysis: Past, Present, and Future Trends". IEEE
Transactions on Evolutionary Computation. Vol. 27, Issue 1 2023. pp. 5 - 25.
DOI: 10.1109/TEVC.2022.3220747.
Ruwang Jiao, Bing Xue, Mengjie Zhang. "Benefiting from
Single-objective Feature Selection to Multi-objective Feature
Selection: A Multiform Approach". IEEE Transactions on
Cybernetics. Vol. 53, Issue 12. 23. pp. 7773 - 7786.
DOI: 10.1109/TCYB.2022.3218345.
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary
Yen. "Particle Swarm Optimization for Compact Neural Architecture
Search for Image Classification". IEEE Transactions on Evolutionary
Computation. Vol. 27, Issue 5, 2023. pp. 1298 - 1312.
DOI: 10.1109/TEVC.2022.3217290. (Accepted on 20-Oct-2022)
Ruwang Jiao, Bing Xue, Mengjie Zhang. "Solving Multi-objective
Feature Selection Problems in Classification via Problem Reformulation
and Duplication Handling". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2022.3215745. (Accepted on 17-Oct-2022)
Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang. "A Co-training Framework for Heterogeneous Heuristic Domain Adaptation". IEEE Transactions on Neural Networks and Learning Systems. 15pp.
DOI: 10.1109/TNNLS.2022.3212924. (Accepted on 03-Oct-2022)
Ying Bi, Bing Xue, Mengjie Zhang. "Genetic Programming-Based
Evolutionary Deep Learning for Data-Efficient Image
Classification". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2022.3214503. (Accepted on 22-September-2022)
Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan. "A Survey on Fault Diagnosis of Rolling Bearings". Algorithms. Vol. 15 Issue 10. 2022. pp.347. DOI: 10.3390/a15100347
Trung Nguyen, Will Neil Browne, Mengjie Zhang. "ConCS: A Continual
Classifier System for Continual Learning of Multiple Boolean
Problems". IEEE Transactions on Evolutionary
Computation. Vol. 27, Issue 4, 2023. pp. 1057 - 1071.
DOI: 10.1109/TEVC.2022.3210872.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. "Differential
Evolution with Duplication Analysis for Feature Selection in
Classification". IEEE Transactions on
Cybernetics. Vol. 53, Issue 7. 2023. pp. 6676 - 6689.
DOI: 10.1109/TCYB.2022.3213236.
Qinglan Fan, Ying Bi, Bing Xue and Mengjie Zhang. "A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification". IEEE Transactions on Evolutionary Computation. 2022 15pp. DOI: 10.1109/TEVC.2022.3214607. (Accepted on 20-August 2022)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "Detecting Overlapping Areas in Unbalanced High-dimensional Data Using Neighborhood Rough Set and Genetic Programming". IEEE Transactions on
Evolutionary Computation. Vol. 27, Issue 4, 2023. pp. 1130 - 1144.
DOI: 10.1109/TEVC.2022.3203862.
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie
Zhang. "Task Relatedness Based Multitask Genetic Programming for
Dynamic Flexible Job Shop Scheduling". IEEE Transactions on
Evolutionary Computation. Vol. 27, Issue 6, 2023. pp. 1705 - 1719.
DOI: 10.1109/TEVC.2022.3199783.
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang. "Multitask
Multi-objective Genetic Programming for Automated Scheduling Heuristic
Learning in Dynamic Flexible Job Shop Scheduling". IEEE
Transactions on Cybernetics. Vol. 53, Issue 7. 2023. pp. 4473 - 4486.
DOI: 10.1109/TCYB.2022.3196887 .
Bach Nguyen, Bing Xue, Mengjie Zhang. "A Constrained Competitive
Swarm Optimiser with an SVM-based Surrogate Model for Feature
Selection". IEEE Transactions on Evolutionary
Computation. 15pp.
DOI: 10.1109/TEVC.2022.3197427.
Shaolin Wang, Yi Mei, Mengjie Zhang. "A Multi-Objective Genetic
Programming Algorithm with $\alpha$ dominance and Archive for
Uncertain Capacitated Arc Routing Problem". IEEE Transactions on
Evolutionary Computation. Vol. 27, Issue 6, 2023. pp. 1633 - 1647.
DOI: 10.1109/TEVC.2022.3195165.
Muhammad Ali, Yifan Chen, Michael J. Cree, Mengjie Zhang. "In Vivo Computation with Sensor Fusion and Search Acceleration for Smart Tumor Homing". Computers in Biology and Medicine. Volume 148, September 2022. pp. 105887 (1-12).
DOI: 10.1016/j.compbiomed.2022.105887.
Mike Ruigrok, Bing Xue, Andrew Catanach, Mengjie Zhang, Linley
Jesson, Marcus Davy, Maren Wellenreuther Wellenreuther. "The relative
power of structural genomic variation versus SNPs in explaining the
quantitative trait growth in the marine teleost Chrysophrys
auratus". Special Issue "Genomics in Aquaculture and Fisheries",
Section "Animal Genetics and Genomics", Journal of Genes.Vol. 13, Issue 7. 2022. pp. 1129(1-18).
DOI: 10.3390/genes13071129.
Ying Bi, Bing Xue, Dana Briscoe, Ross Vennell, and Mengjie
Zhang. "A New Artificial Intelligent Approach to Buoy Detection for
Mussel Farming". Journal of the Royal Society of New
Zealand. Vol. 53, Issue 1. 2023. pp. 27-51.
DOI: 10.1080/03036758.2022.2090966.
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie
Zhang. "Automatically Diagnosing Skin Cancers from Multi-Modality
Images Using Two-Stage Genetic Programming". IEEE Transactions on
Cybernetics. Vol. 53, Issue 5, 2023. pp. 2727 - 2740.
DOI: 10.1109/TCYB.2022.3182474.
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie
Zhang. "Instance Rotation Based Surrogate in Genetic Programming with
Brood Recombination for Dynamic Job Shop Scheduling". IEEE
Transactions on Evolutionary Computation. Vol. 27, Issue 2, April 2023. pp. 1192 - 1206.
DOI: 10.1109/TEVC.2022.3180693.(Accepted
on 31-May-2022)
Ruwang Jiao, Bing Xue, Mengjie Zhang. "A Multiform Optimization
Framework for Constrained Multi-Objective Optimization". IEEE Transactions on
Cybernetics. Vol. 53, Issue 5, 2023. pp. 5165 - 5177.
DOI: 10.1109/TCYB.2022.3178132.
Bach Hoai Nguyen, Bing Xue, and Mengjie Zhang."A Constrained
Competitive Swarm Optimiser with an SVM-based Surrogate Model for
Feature Selection". IEEE Transactions on Evolutionary
Computation. 2022. 15pp.
DOI: 10.1109/TEVC.2022.3197427.
Ying Bi, Bing Xue, Mengjie Zhang. "Multitask Feature Learning as Multiobjective Optimisation: A New Genetic Programming Approach to Image Classification". IEEE Transactions on
Cybernetics. Vol. 53, Issue 5, 2023. pp. 3007 - 3020.
DOI: 10.1109/TCYB.2022.3174519.
Ya-Hui Jia, Yi Mei, Mengjie Zhang. "Learning Heuristics with
Different Representations for Stochastic Routing". IEEE
Transactions on Cybernetics. Vol. 53, Issue 5, 2023. pp. 3205 - 3219.
DOI: 10.1109/TCYB.2022.3169210.
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang. "Genetic
Programming for Image Classification: A New Program Representation
with Flexible Feature Reuse". IEEE Transactions on Evolutionary
Computation. Vol. 27, Issue 2, April 2023. pp. 460 - 474.
DOI: 10.1109/TEVC.2022.3169490.
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang, Xin Yao. "Knowledge
Transfer Genetic Programming with Auxiliary Population for Solving
Uncertain Capacitated Arc Routing Problem". IEEE Transactions on
Evolutionary
Computation. Vol. 27, Issue 2, April 2023. pp. 311 - 325.
DOI: 10.1109/TEVC.2022.3169289.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. "Differential
Evolution Based Feature Selection: A Niching-based Multi-objective
Approach". IEEE Transactions on Evolutionary
Computation. Vol. 27, Issue 2, April 2023. pp. 296 - 310.
DOI: 10.1109/TEVC.2022.3168052.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang. "Genetic
Programming for Automatic Skin Cancer Image
Classification". Expert Systems With Applications.
Volume 197, 1 July 2022, 116680.
DOI:10.1016/j.eswa.2022.116680.
Feng Chen, Jiangshu Wei, Bing Xue, Mengjie Zhang. "Feature fusion
and kernel selective in Inception-v4 network". Applied Soft
Computing. Volume 119, April 2022,
108582. DOI:
10.1016/j.asoc.2022.108582.
Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue,
Mengjie Zhang. "BenchENAS: A Benchmarking Platform for Evolutionary
Neural Architecture Search". IEEE Transactions on Evolutionary
Computation. Vol. 26, Issue 6, 2022. pp. 1473 - 1485.
DOI: 10.1109/TEVC.2022.3147526.
Ying Bi, Bing Xue, Mengjie Zhang. "Using a Small Number of
Training Instances in Genetic Programming for Face Image
Classification". Information Sciences. Volume 593, May 2022,
Pages
488-504. DOI:
10.1016/j.ins.2022.01.055
Ya-Hui Jia, Yi Mei, Mengjie Zhang. "Confidence-based Ant Colony
Optimization for Capacitated Electric Vehicle Routing Problem with
Comparison of Different Encoding Schemes". IEEE Transactions on
Evolutionary Computation. Vol. 26, Issue 6, 2022. pp. 1394 - 1408. DOI: 10.1109/TEVC.2022.3144142
Qinglan Fan, Ying Bi, Bing Xue, and Mengjie Zhang. "Genetic
Programming for Feature Extraction and Construction in Image
Classification". Applied Soft Computing.. Vol. 118,
March 2022.
108509. DOI:
10.1016/j.asoc.2022.108509
Cuie Yang, Yiu-ming Cheung, Jinliang Ding, Kay Chen Tan, Bing
Xue, Mengjie Zhang. "Contrastive Learning Assisted Alignment for
Partial Domain Adaptation". IEEE Transactions on Neural Networks
and Learning Systems. Vol. 34, Issue 10, 2023. pp. 7621 - 7634.
DOI:
10.1109/TNNLS.2022.3145034
Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng
Lv. "ArcText: A unified text approach to describing convolutional
neural network architectures". IEEE Transactions on Artificial
Intelligence. Volume: 3, Issue: 4, August 2022. pp. 526 - 540. DOI:
10.1109/TAI.2021.3128502
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou. "Correlation-Guided
Updating Strategy for Feature Selection in Classification with
Surrogate-Assisted Particle Swarm Optimisation". IEEE Transactions
on Evolutionary Computation. Vol. 26, Issue 5, 2022. pp. 1015 - 1029. DOI:
10.1109/TEVC.2021.3134804.
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang. "Genetic Programming
with Knowledge Transfer and Guided Search for Uncertain Capacitated
Arc Routing Problem". IEEE Transactions on Evolutionary
Computation. Vol. 26, Issue 4, August 2022. pp. 65 - 779. DOI:
10.1109/TEVC.2021.3129278.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. "Multi-objective
Differential Evolution for Feature Selection in
Classification". IEEE Transactions on Cybernetics. Vol. 53, Issue 7, 2023. pp. 4579 - 4593.
DOI: 10.1109/TCYB.2021.3128540.
Ruwang Jiao, Bing Xue, Mengjie Zhang. "Investigating the
correlation amongst the objective and constraints in Gaussian
process-assisted highly-constrained expensive optimization". IEEE
Transactions on Evolutionary
Computation. Vol. 26, Issue 4, August 2022. pp. 872 - 885.
DOI: 10.1109/TEVC.2021.3120980.
Siyi Li, Yanan Sun, Gary Yen, Mengjie Zhang. "Automatic Design of
Convolutional Neural Network Architectures under Resource
Constraints". IEEE Transactions on Neural Networks and Learning
Systems. Vol. 34, Issue 2, 2023. pp. 3832 - 3846.
DOI: 10.1109/TNNLS.2021.3123105.
Ya-Hui Jia, Yi Mei, Mengjie Zhang. "A Two-Stage Swarm
Optimizer with Local Search for Water Distribution Network
Optimization". IEEE Transactions on Cybernetics. Vol. 53, Issue: 2, February 2023. pp. 1667 - 1681.
DOI: 10.1109/TCYB.2021.3107900.
Andrew Lensen, Bing Xue, Mengjie Zhang. "Genetic Programming for
Manifold Learning: Preserving Local Topology". IEEE Transactions
on Evolutionary
Computation. Vol. 26, Issue 4, August 2022. pp. 661 - 675.
DOI: 10.1109/TEVC.2021.3106672.
Ying Bi, Bing Xue, Mengjie Zhang. "Instance Selection Based
Surrogate-Assisted Genetic Programming for Feature Learning in Image
Classification". IEEE Transactions on
Cybernetics. Vol. 53, Issue: 2, February 2023. pp. 1118-1132
DOI: 10.1109/TCYB.2021.3105696. (online 31 August 2021)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "High-dimensional
Unbalanced Binary Classification by Genetic Programming with
Multi-criterion Fitness Evaluation and Selection Evolutionary
Computation". Evolutionary Computation (Journal, MIT
Press). Vol. 30, Issue 1. 2022. pp. 99-129.
DOI: 10.1162/evco_a_00304.
Yuqiao Liu, Yanan Sun,Bing Xue, Mengjie Zhang, Gary Yen, Kay Chen
Tan. "A Survey on Evolutionary Neural Architecture Search". IEEE
Transactions on Neural Networks and Learning
Systems. Vol. 34, Issue 2, 2023. pp. 550 - 570
DOI: 10.1109/TNNLS.2021.3100554.
Ying Bi, Bing Xue, Mengjie Zhang. "Dual-Tree Genetic Programming
for Few-Shot Image Classification". IEEE Transactions on
Evolutionary Computation. Vol. 26, Issue 3. 2022. pp. 555 - 569. DOI:
10.1109/TEVC.2021.3100576. (accepted on 28 July 2021)
Ying Bi, Bing Xue, Mengjie Zhang. "Learning and Sharing: A
Multitask Genetic Programming Approach to Image Feature
Learning". IEEE Transactions on Evolutionary
Computation. Vol. 26, Issue: 2, April 2022. pp. 218-232
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Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou. "Evolutionary
Multitasking for Feature Selection in High-dimensional Classification
via Particle Swarm Optimisation". IEEE Transactions on
Evolutionary
Computation. Vol. 26, Issue 3, June 2022. pp.446-460
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Shaolin Wang, Yi Mei, Mengjie Zhang, Xin Yao. "Genetic
Programming with Niching for Uncertain Capacitated Arc Routing
Problem". IEEE Transactions on Evolutionary
Computation. Vol. 25, Issue 6, 2021. pp. 73 -
87. DOI:
10.1109/TEVC.2021.3095261
Ying Bi, Bing Xue, Mengjie Zhang. "A Divide-and-Conquer Genetic
Programming Algorithm with Ensembles for Image
Classification". IEEE Transactions on Evolutionary
Computation. Vol. 25, Issue 6, 2021. pp. 1148 -
1162. DOI:
10.1109/TEVC.2021.3082112.
Damien O'Neill, Bing Xue, Mengjie Zhang. "Evolutionary Neural
Architecture Search for High-Dimensional Skip-Connection Structures on
DenseNet Style Networks". IEEE Transactions on Evolutionary
Computation. Vol. 25, Issue 6, 2021. pp. 1118 -
1132. DOI:
10.1109/TEVC.2021.3083315.
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Multi-Tree
Genetic Programming with New Operators for Transfer Learning in
Symbolic Regression with Incomplete Data". IEEE Transactions on
Evolutionary Computation. Vol. 25, Issue 6, 2021.
pp. 1049 - 1063.
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Bo Peng, Shuting Wan, Ying Bi, Bing Xue, Mengjie
Zhang. "Multi-View Feature Construction Using Genetic Programming for
Rolling Bearing Fault Diagnosis". IEEE Computational Intelligence
Magazine. Vol. 16, Issue 3, 2021.
pp. 79-94. DOI:
10.1109/MCI.2021.3084495.
Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt and
Mengjie Zhang. "An automatic feature construction method for salient
object detection: A genetic programming approach". Expert Systems
With Applications. Vol. 186, December 2021,
115726. 13pp.
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Ya-Hui Jia, Yi Mei, Mengjie Zhang. "A Bi-level Ant Colony
Optimization Algorithm for Capacitated Electric Vehicle Routing
Problem". IEEE Transactions on Cybernetics. Vol. 52 , Issue 10, 2022. pp. 10855 - 10868. DOI:
10.1109/TCYB.2021.3069942.
Anda Li, Bing Xue, Mengjie Zhang. "Improved Binary Particle Swarm
Optimization for Feature Selection with New Initialization and Search
Space Reduction Strategies". Applied Soft Computing
Journal . Vol. 106, July 2021,
107302. 19pp.
DOI: 10.1016/j.asoc.2021.107302.
Su Nguyen, Dhananjay Thiruvady, Mengjie Zhang, Damminda
Alahakoon. "Automated Design of Multipass Heuristics for
Resource-Constrained Job Scheduling With Self-Competitive Genetic
Programming". IEEE Transactions on
Cybernetics. Vol. 52, Issue: 9, September 2022. pp. 8603 - 8616.
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Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie
Zhang. "Multitasking Genetic Programming Based Generative
Hyper-heuristics: A Case Study in Dynamic Scheduling". IEEE
Transactions on
Cybernetics. Vol. 52, Issue 10, October 2022. pp. 10515 - 10528. DOI:
10.1109/TCYB.2021.3065340.
Wenlong Fu, Xiaoying Gao, Bing Xue, Mengjie Zhang. "Transductive
Transfer Learning Based Genetic Programming for Balanced and
Unbalanced Document Classification Using Different Types of
Features". Applied Soft Computing. Vol. 103, May
2021,
107172. DOI:
10.1016/j.asoc.2021.107172.
Ying Bi, Bing Xue, Mengjie Zhang. "Multi-Objective Genetic
Programming for Feature Learning in Face Recognition". Applied
Soft Computing. Vol. 103, May
2021. 107152. DOI:10.1016/j.asoc.2021.107152.
Bin Wang, Bing Xue, Mengjie Zhang. "Surrogate-assisted Particle
Swarm Optimisation for Evolving Variable-length Transferable Blocks
for Image Classification". IEEE Transactions on Neural Networks
and Learning
Systems. Volume 33, Issue: 8, August 2022. pp. 3727-3740. DOI:10.1109/TNNLS.2021.3054400.
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "A New
Imputation Method Based on Genetic Programming and Weighted KNN for
Symbolic Regression with Incomplete Data". Soft
Computing. Vol. 25, 2021.
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Su Nguyen, Dhananjay Thiruvady, Mengjie Zhang, Kay Chen Tan. "A
Genetic Programming Approach for Evolving Variable Selectors in
Constraint Programming". IEEE Transactions on Evolutionary
Computation. Vol 25, Issue 3, 2021. pp. 492 -
507. DOI:
10.1109/TEVC.2021.3050465.
Ying Bi, Bing Xue, Mengjie Zhang. "Genetic Programming-Based
Discriminative Feature Learning for Low-Quality Image
Classification". IEEE Transactions on
Cybernetics. Volume 52, Issue: 8, August 2022. DOI:
10.1109/TCYB.2021.3049778
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang. "Collaborative
Multi-fidelity based Surrogate Models for Genetic Programming in
Dynamic Flexible Job Shop Scheduling". IEEE Transactions on
Cybernetics. Volume 52, Issue: 8, August 2022. pp. 8142-8156. DOI:
10.1109/TCYB.2021.3050141
Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. "Correlation
Coefficient Based Recombinative Guidance for Genetic Programming
Hyper-heuristics in Dynamic Flexible Job Shop Scheduling". IEEE
Transactions on Evolutionary Computation. Vol. 25, Issue
3. 2021. pp. 552-566. DOI:
10.1109/TEVC.2021.3056143.
Xiangru Chen, Yanan Sun, Mengjie Zhang, and Dezhong
Peng. "Evolving Deep Convolutional VariationalAutoencoders for Image
Classification". IEEE Transactions on Evolutionary
Computation. Volume 25, Issue: 5, October 2021. DOI:
10.1109/TEVC.2020.3047220. 15pp.
Qi Chen, Bing Xue, Mengjie Zhang. "Preserving Population
Diversity Based on Transformed Semantics in Genetic Programming for
Symbolic Regression". IEEE Transactions on Evolutionary
Computation. Volume: 25, Issue: 3, June 2021. pp. 433 - 447. DOI:
10.1109/TEVC.2020.3046569.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "Genetic
Programming for Development of Cost-sensitive Classifiers for Binary
High-dimensional Unbalanced Classification". Applied Soft
Computing. Vol. 101. March
2021. 106989. DOI:
10.1016/j.asoc.2020.106989.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou. "An Evolutionary
Multitasking-Based Feature Selection Method for High-Dimensional
Classification". IEEE Transactions on
Cybernetics. Volume 52, Issue: 7, July 2022. pp. 7172 - 7186
Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie
Zhang. "Surrogate-Assisted Evolutionary Multitasking Genetic
Programming for Dynamic Flexible Job Shop Scheduling". IEEE
Transactions on Evolutionary Computation. Volume 25, Issue: 4, August 2021. pp. 651-665
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "Developing
Interval-based Cost-sensitive Classifiers by Genetic Programming for
Binary High-dimensional Unbalanced Classification". IEEE
Computational Intelligence Magazine. Volume 16, Issue: 1, February 2021. pp. 84-98
Wenlong Fu, Xiaoying Gao, Bing Xue, Mengjie Zhang. "Output-based
Transfer Learning in Genetic Programming for Document
Classification". Knowledge-Based
Systems. Vol. 212.DOI:
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Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mengjie
Zhang. "Automatically Evolving Texture Image Descriptors using the
Multi-tree Representation in Genetic Programming using Few
Instances". Evolutionary Computation Journal (ECJ, MIT
Press). Vol. 29, Issue 3. 2021.
pp. 331-366. DOI:
10.1162/evco_a_00284.
Bo Peng, Shuting Wan, Ying Bi, Bing Xue, Mengjie Zhang. "Automatic
Feature Extraction and Construction Using Genetic Programming for
Rotating Machinery Fault Diagnosis". IEEE Transactions on
Cybernetics. Vol. 51, Issue 10. 2021. pp.4909 -
4923. DOI:
10.1109/TCYB.2020.3032945.
Ya-Hui Jia, Yi Mei, Mengjie Zhang. "Contribution-based Cooperative
Co-evolution for Non-separable Large-scale Problems with Overlapping
Subcomponents". IEEE Transactions on
Cybernetics. Volume 52, Issue: 6. 2022. pp. 4246 - 4259DOI:
10.1109/TCYB.2020.3025577.
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang. "Evolving
Scheduling Heuristics via Genetic Programming with Feature Selection
in Dynamic Flexible Job Shop Scheduling". IEEE Transactions on
Cybernetics. Vol. 51, Issue 4. 2021. pp. 1797 -
1811. DOI:
10.1109/TCYB.2020.3024849.
Boxiong Tan, Hui Ma, Yi Mei, and Mengjie Zhang. "A Cooperative
Coevolution Genetic Programming Hyper-Heuristic Approach for On-line
Resource Allocation in Container-based Clouds". IEEE Transactions
on Cloud
Computing. Volume 10, Issue: 3. 2022. DOI:
10.1109/TCC.2020.3026338.. 16pp.
Hang Xu, Bing Xue, Mengjie Zhang. "A Duplication Analysis Based
Evolutionary Algorithm for Bi-objective Feature Selection". IEEE
Transactions on Evolutionary Computation. Vol. 25, Issue
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218. DOI:
10.1109/TEVC.2020.3016049.
Qi Chen, Bing Xue, Mengjie Zhang. "Rademacher Complexity for
Enhancing the Generalisation of Genetic Programming for Symbolic
Regression". IEEE Transactions on
Cybernetics. Volume 52, Issue 4. 2022. pp. 2382 - 2395. DOI:
10.1109/TCYB.2020.3004361.
Ying Bi, Bing Xue, Mengjie Zhang. "Genetic Programming with
Image-Related Operators and a Flexible Program Structure for Feature
Learning in Image IEEE Transactions on
Evolutionary
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "Genetic
Programming for High-Dimensional Imbalanced Classification with A New
Fitness Function and Program Reuse Mechanism". Soft
Computing. Vol. 24, 2020. pp.18021–18038.
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Sam Fletcher, Brijesh Verma, Mengjie Zhang. "A Non-Specialized
Ensemble Classifier using Multi-Objective
Optimization". Neurocomputing. Vol. 409,
pp. 93-102. 2020. DOI:
10.1016/j.neucom.2020.05.029.
Binzi Xu, Yi Mei, Yan Wang, Zhicheng Ji, Mengjie Zhang. "Genetic
Programming with Delayed Routing for Multi-Objective Dynamic Flexible
Job Shop Scheduling". Evolutionary
Computation. Vol. 29, Issue 1. 2021.
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Jiancheng
Lv. "Automatically Designing CNN Architectures Using the Genetic
Algorithm for Image Classification". IEEE Transactions on
Cybernetics. Vol. 50, Issue 9. 2020. pp. 3840 -
3854. DOI:
10.1109/TCYB.2020.2983860. (ESI Highly Cited Papers (TOP 1%
worldwide), and ESI Hot Paper (TOP 0.1% worldwide)
An-Da Li, Bing Xue, Mengjie Zhang. "Multi-objective feature
selection using hybridization of a genetic algorithm and direct
multisearch for key quality characteristic selection". Information
Sciences. Vol. 523. June
2020. pp. 245-265. DOI:
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Bach Hoai Nguyen, Bing Xue, Peter Andreae and Mengjie Zhang. "A
Hybrid Evolutionary Computation Approach to Inducing Transfer
Classifiers for Domain Adaptation". IEEE Transactions on
Cybnertics. Vol. 51, Issue 12. 2021. pp. 6319 -
6332 DOI:
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Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie
Zhang. "Generating Knowledge-guided Discriminative Features Using
Genetic Programming for Melanoma Detection". IEEE Transactions on
Emerging Topics in Computational Intelligence. Volume:
5, Issue: 4. 2021. pp. 554 -
569. DOI:
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Bach Hoai Nguyen, BingXue, Mengjie Zhang. "A survey on swarm
intelligence approaches to feature selection in data
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10.1016/j.swevo.2020.100663.
Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou. "Novel Chaotic
Grouping Particle Swarm Optimization with a Dynamic Regrouping
Strategy for Solving Numerical Optimization Tasks". Knowledge
Based Systems. Vol. 194,
2020. 105568. DOI:
10.1016/j.knosys.2020.105568. 2020. 19pp.
Qi Chen, Bing Xue, Mengjie Zhang. "Genetic Programming for
Instance Transfer Learning in Symbolic Regression". IEEE
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Andrew Lensen, Bing Xue, Mengjie Zhang. "Genetic Programming for
Evolving a Front of Interpretable Models for Data
Visualisation". IEEE Transactions on
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10.1109/TCYB.2020.2970198.
Ying Bi, Bing Xue, and Mengjie Zhang. "An Effective Feature
Learning Approach Using Genetic Programming with Image Descriptors for
Image Classification". IEEE Computational Intelligence
Magazine.Vol. 15, Issue 2, 2020.
pp. 65-77. DOI:
10.1109/MCI.2020.2976186.
Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang. "A
Survey of Evolutionary Computation for Web Service Composition: A
Technical Perspective". IEEE Transactions on Emerging Topics in
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Ying Bi, Bing Xue, Mengjie Zhang. "Genetic Programming with A New
Representation to Automatically Learn Features and Evolve Ensembles
for Image Classification". IEEE Transactions on
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Emrah Hancer, Bing Xue, Mengjie Zhang. "A survey on feature
selection approaches for clustering". Artificial Intelligence
Review.Vol. 53, 2020.
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Andrew Lensen, Mengjie Zhang, Bing Xue. "Multi-Objective Genetic
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Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing
Gu. "Multi-objective Multi-tasking Optimization Based on Incremental
Learning". IEEE Transactions on Evolutionary
Computation. Volume 24, Issue 5. 2019.
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10.1109/TEVC.2019.2962747.
Jordan MacLachlan, Yi Mei, Juergen Branke and Mengjie
Zhang. "Genetic Programming Hyper-Heuristics with Vehicle
Collaboration for Uncertain Capacitated Arc Routing Problems
Evolutionary Computation". Vol. 28, Issue 4, 2020.
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Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang. "A New
Binary Particle Swarm Optimization Approach: Momentum and Dynamic
Balance Between Exploration and Exploitation". IEEE Transactions
on Cybernetics. Vol. 51, Issue 2. 2021. pp. 589 -
603. DOI:
10.1109/TCYB.2019.2944141. First Online on 11 October 2019.
Su Nguyen, Mengjie Zhang, Damminda Alahakoon and Kay Chen
Tan. "People-centric Evolutionary System for Dynamic Production
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10.1109/TCYB.2019.2936001.
Andrew Lensen, Bing Xue, Mengjie Zhang. "Genetic Programming for
Evolving Similarity Functions for Clustering: Representations and
Analysis", Evolutionary Computation Journal (MIT
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Yu Xue, Bing Xue, Mengjie Zhang. "Self-adaptive Particle Swarm
Optimization for Large-scale Feature Selection in
Classification". ACM Transactions on Knowledge Discovery from
Data. Volume 13, Issue 5, Article
50. 2019. 27pp. DOI:
10.1145/3340848. (ESI Highly Cited Paper (TOP 1%
worldwide)
Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary Yen, Mengjie
Zhang. "Surrogate-Assisted Evolutionary Deep Learning Using an
End-to-End Random Forest-based Performance Predictor". IEEE
Transactions on Evolutionary Computation. Vol. 24, Issue
2,
2019. pp. 350-364. DOI:
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary Yen. "Completely
Automated CNN Architecture Design Based on Blocks". IEEE
Transactions on Neural Networks and Learning
Systems. Vol. 31, Issue 4. 2019.
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary Yen. "Evolving Deep
Convolutional Neural Networks for Image Classification". IEEE
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2,
2019. pp. 394-407. DOI:
10.1109/TEVC.2019.2916183. (ESI Highly Cited Paper (TOP 1% worldwide)
Binh Tran, Bing Xue, Mengjie Zhang. "Genetic Programming for
Multiple Feature Construction on High-Dimensional
Classification". Pattern Recognition. Vol. 93.
2019. pp. 404-417. DOI:
10.1016/j.patcog.2019.05.006.
Roberto Santana, Luis Marti, Mengjie Zhang. "GP-based Methods for
Domain Adaptation: using Brain Decoding across Subjects as A
Test-case". Genetic Programming and Evolvable
Machines. Vol. 20.
2019. pp. 351-411. DOI:
10.1007/s10710-019-09352-6.
Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi,
Mengjie Zhang. "Multiple Reference Points based Decomposition for
Multi-objective Feature Selection in Classification: Static and
Dynamic Mechanisms". IEEE Transactions on Evolutionary
Computation. Vol. 24, Issue 1. 2020.
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Saeed Mirghasemi, Peter Andreae, Mengjie
Zhang. "Domain-independent Severely Noisy Image Segmentation via
Adaptive Wavelet Shrinkage Using Particle Swarm Optimization and Fuzzy
C-Means". Expert Systems With Applications. Volume 133. 2019. pp. 126-150. DOI: 10.1016/j.eswa.2019.04.050.
Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang. "A
Predictive-Reactive Approach with Genetic Programming and Cooperative
Co-evolution for Uncertain Capacitated Arc Routing Problem".
Evolutionary Computation Journal (ECJ, MIT
Press). Vol. 28, Issue
2. 2020. pp. 289-316. DOI:
10.1162/evco_a_00256. (23 April 2019 online)
Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan
Sun, Binh Tran, Bing Xue*, and Mengjie Zhang*. "A Survey on
Evolutionary Machine Learning". Journal of the Royal Society of
New Zealand
(TNZR). 2019. pp. 205-228. DoI: 10.1080/03036758.2019.1609052.
Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng
Peng. "Preprocessing Tandem Mass Spectra Using Genetic Programming for
Peptide Identification". Journal of The American Society for Mass
Spectrometry. Volume 30, Issue 7. 2019. pp. 1294–1307. DOI:
10.1007/s13361-019-02196-5.
Harith Al-Sahaf, Muhannad Iqbal, Bing Xue, Mengjie Zhang. "Genetic
Programming with Transfer Learning for Texture Image
Classification". Soft Computing. Vol. 23. 2019.
pp. 12859–12871. DOI:
10.1007/s00500-019-03843-5 (accepted on 06 Feb 2019).
Yanan Sun, Bing Xue, Mengjie Zhang, Gary Yen. "A New Two-stage
Evolutionary Algorithm for Many-objective Optimization". IEEE
Transactions on Evolutionary Computation. Vol. 30, Issue
5, 2019. pp. 748-761. DOI:
10.1109/TEVC.2018.2882166
Yanan Sun, Bing Xue, Mengjie Zhang, Gary Yen. "A Particle Swarm
Optimization-based Flexible Convolutional Auto-Encoder for Image
Classification". IEEE Transactions on Neural Networks and Learning
Systems. Vol. 30, Issue 8, 2019. pp. 2295 - 2309. DOI: 10.1109/TNNLS.2018.2881143
Ying Bi, Bing Xue, Mengjie Zhang. "A Survey on Genetic Programming to Image Analysis". Journal of Zhengzhou University (Engineering Science). Vol. 39, No. 06. 2018. pp.3-13. (In Chinese) HTML
Binh Tran, Bing Xue, Mengjie Zhang. "Variable-Length Particle
Swarm Optimisation for Feature Selection on High-Dimensional
Classification". IEEE Transactions on Evolutionary
Computation. Vol. 23, Issue 3. 2019. pp. 473-487. DOI:
0.1109/TEVC.2018.2869405
Wenlong Fu, Bing Xue, Mengjie Zhang, and Mark Johnston. "Fast
Unsupervised Edge Detection using Genetic Programming", IEEE
Computational Intelligence Magazine, Vol.13,
No. 4. 2018. pp. 46-58.
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Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen
Tan. "Visualising the Evolution of Computer Programs for Genetic
Programming". IEEE Computational Intelligence
Magazine, Vol. 13, Issue 4,
2018. pp. 77-94.
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Su Nguyen, Yi Mei, Bing Xue, Mengjie Zhang. "A Hybrid Genetic
Programming Algorithm for Automated Design of Dispatching Rules".
Evolutionary Computation Journal (MIT
Press). Vol. 27, Issue 3. 2019.
pp.467-496. DOI:
10.1162/evco_a_00230.
Qi Chen, Bing Xue, Mengjie Zhang. “Structural Risk
Minimisation-Driven Genetic Programming for Enhancing Generalisation
in Symbolic Regression”. IEEE Transactions on Evolutionary
Computation. Vol. 23, Issue 4. 2019.
pp. 703-717. DOI:
10.1109/TEVC.2018.2881392.
Qi Chen, Mengjie Zhang, and Bing Xue. “Improving Generalisation
of Genetic Programming for Symbolic Regression with Angle-Driven
Geometric Semantic Operators”, IEEE Transactions on Evolutionary
Computation. Vol. 23, Issue 3. 2019. pp. 488-502. DOI:
10.1109/TEVC.2018.2869621 (first online on 24 September 2018)
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu
Bui. "An effective and efficient approach to classification with
incomplete data". Knowledge Based
SystemsVol. 154. 2018.
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Wenlong Fu, Mark Johnston, Mengjie Zhang. "Bayesian Genetic
Programming for Edge Detection". Soft Computing.
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Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang. "Evolutionary
Multi-Objective Optimization for Web Service Location Allocation
Problem". IEEE Transactions on Services
Computing. 2018. DOI: 10.1109/TSC.2018.2793266 .
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang. "An
Investigation of Ensemble Combination Schemes for Genetic Programming
based Hyper-heuristic Approaches to Dynamic Job Shop Scheduling".
Applied Soft Computing. Vol. 63. February 2018, Pages
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10.1016/j.asoc.2017.11.020 .
Md Asafuddoula, Brijesh Verma, and Mengjie Zhang. "A
Divide-and-Conquer Based Ensemble Classifier Learning by Means of
Many-Objective Optimization". IEEE Transaction on Evolutionary
Computation. Volume 22, Issue 5, 2018. pp.762-777. DOI: 10.1109/TEVC.2017.2782826
Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye
Akay. "Pareto Front Feature Selection based on Artificial Bee Colony
Optimization". Information
Sciences. Vol. 422. 2018. pp.462-479. DOI:
10.1016/j.ins.2017.09.028 (ESI Highly Cited Papers (TOP 1% worldwide)
Yuyu Liang, Mengjie Zhang; Will N Browne. "Figure-ground image
segmentation using feature-based multi-objective genetic programming
techniques". Neural Computing and Applications. Volume
31, Issue 7. 2019. pp. 3075–3094.
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Ibrahim Rahman, Christopher Hollitt, Mengjie Zhang. "A feature
map quality score estimation through regression". IEEE
Transactions on Image Processing. 2017. Vol. 27, No. 4,
2018. pp. 1793-1808. DOI:
10.1109/TIP.2017.2785623
Emrah Hancer, Bing Xue, Mengjie Zhang. "Differential Evolution
for Filter Feature Selection Based on Information Theory and Feature
Ranking". Knowledge Based Systems. Vol. 140.
2018. pp. 103-119. DOI:
10.1016/j.knosys.2017.10.028 (ESI Highly Cited Papers (TOP 1% worldwide)
Yi Mei, Su Nguyen, Bing Xue, Mengjie Zhang. "An Efficient Feature
Selection Algorithm for Evolving Job Shop Scheduling Rules with
Genetic Programming". IEEE Transactions on Emerging Topics in
Computational Intelligence. 2017. pp. 339 -
353. DOI:
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Alexandre S. da Silva, Yi Mei, Hui Ma, Mengjie
Zhang. "Evolutionary Computation for Automatic Web Service Composition
-- An Indirect Representation Approach". Journal of
Heuristics. Vol. 24, Issue
3. 2018. 425-456.
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Su Nguyen, Yi Mei, Mengjie Zhang. "Genetic Programming for
Production Scheduling: A Survey with A Unified Framework".
Complex & Intelligent Systems.. Volume 3, Issue 1. 2017.
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Yuyu Liang, Mengjie Zhang; Will N Browne. "Image Feature
Selection using Genetic Programming for Figure-ground
Segmentation". Engineering Applications of Artificial
Intelligence. Vol. 62, 2017.
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Binh Tran, Bing Xue, Mengjie Zhang. "A New Representation in PSO
for Discretisation-Based Feature Selection". IEEE Transaction on
Cybernetics. Vol. 48, No.6, 2018.
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Qi Chen, Mengjie Zhang, Bing Xue. "Feature Selection to Improve
Generalisation of Genetic Programming for High-Dimensional Symbolic
Regression". IEEE Transaction on Evolutionary
Computation. 2017. pp. 792-806. DOI:
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Bing Xue and Mengjie Zhang."Evolutionary Feature Manipulation in
Data Mining/Big Data". ACM SigEvoSolutions. Vol. 10 ,
Issue 1. 2017. pp. 4-11. [PDF].
Harith Al-Sahaf, Mengjie Zhang, Ausama Al-Sahaf, Mark Johnston.
"Keypoints Detection and Feature Extraction: A Dynamic Genetic
Programming Approach for Evolving Rotation-invariant Texture Image
Descriptors". IEEE Transaction on Evolutionary
Computation. 2017. DOI:
10.1109/TEVC.2017.2685639.
Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, Mengjie
Zhang. "Cross-Domain Reuse of Extracted Knowledge in Genetic
Programming for Image Classification". IEEE Transaction on
Evolutionary Computation. 2017. DOI:
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Yuyu Liang, Mengjie Zhang, Will Browne. "Genetic Programming for
Evolving Figure-ground Segmentors from Multiple Features". Applied
Soft Computing. Vol. 51,
2017. pp. 83-95. DOI:
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Muhammad Ghifary, David Balduzzi, Bastiaan W. Kleijn, Mengjie
Zhang. "Scatter Component Analysis: A Unified Framework for Domain
Adaptation and Domain Generalization". IEEE Transactions on
Pattern Analysis and Machine Intelligence. Vol. 39,
No. 7.
2017. pp. 1414-1430.
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1% worldwide))
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing
Xue. "Improving Classification with Incomplete Data using
Wrapper-based Feature Selection". Evolutionary
Intelligence. Volume 9, Issue 3, 2016. pp. 81–94.
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Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston,
Mengjie Zhang. "Automatically Evolving Rotation-invariant Texture
Image Descriptors by Genetic Programming". IEEE Transaction on
Evolutionary
Computation. 2017. pp. 83-101.
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Muhammad Iqbal, Syed S Naqvi, Will N Browne, Christopher Hollitt,
Mengjie Zhang. "Learning Feature Fusion Strategies for Various Image
Types to Detect Salient Objects". Pattern
Recognition. Vol. 60, 2016.
pp. 106-120.
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Su Nguyen, Mengjie Zhang, Kay Chen Tan. "Surrogate-assisted
Genetic Programming with Simplified Models for Automated Design of
Dispatching Rules". IEEE Transactions on
Cybernetics.. 2017.
DOI: 10.1109/TCYB.2016.2562674
Gang Chen, Colin Douch, and Mengjie Zhang. "Accuracy-based
Learning Classifier Systems for Multi-step Reinforcement Learning: A
Fuzzy Logic Approach to Handling Continuous Inputs and Learning
Continuous Actions". IEEE Transactions on Evolutionary
Computation. Volume: 20, Issue: 6, Dec. 2016.
pp. 953-971.
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Binh Tran, Bing Xue and Mengjie Zhang. "Investigation on Particle
Swarm Optimisation for Feature Selection on High-dimensional Data:
Local Search and Selection Bias". Connection
Science. Vol. 28, Issue
3. 2016. pp. 270-294.
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Hoai Bach Nguyen, Bing Xue, Ivy Liu, Peter Andreae, and Mengjie
Zhang. "New mechanism for archive maintenance in PSO-based
multi-objective feature selection", Soft
Computing. Volume 20, Issue 10. 2016. pp.
3927–3946. DOI:
10.1007/s00500-016-2128-8.
Bing Xue, Mengjie Zhang, Will Browne, Xin Yao. "A Survey on
Evolutionary Computation Approaches to Feature Selection". IEEE
Transaction on Evolutionary Computation. Vol. 20, Issue
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DOI: 10.1109/TEVC.2015.2504420 (Highly Cited Paper (TOP 1% worldwide)
Ibrahim Hussain, Christopher Hollitt, Mengjie
Zhang. "Contextual based Top-down Saliency Feature Weighting for
Target Detection Decision". Machine Vision and
Applications. Vol. 27, Issue 6,
2016. pp. 893-914.
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Binh Tran, Bing Xue and Mengjie Zhang. "Genetic Programming for
Feature Construction and Selection in Classification on
High-dimensional Data". Memetic Computing. vol 8,
Issue 1. 2016.
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Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang. "An on-line
Pittsburgh LCS for the Three-Cornered Coevolution
Framework". Evolutionary Intelligence. December 2015,
Volume 8, Issue
4. pp. 185-201.
Muhammad Iqbal, Will N. Browne and Mengjie Zhang. "Extending
XCS with Cyclic Graphs for Scalability on Complex Boolean
Problems". Evolutionary Computation (ECJ, MIT
Press). 2015.
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Emrah Hancer, Bing Xue, Dervis Karaboga, Mengjie Zhang. "A binary
ABC algorithm based on advanced similarity scheme for feature
selection". Applied Soft Computing. Volume 36,
November 2015, Pages
334-348. DOI:
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Juergen Branke, Su Nguyen, Christoph Pickardt, Mengjie
Zhang. "Automated Design of Production Scheduling Heuristics: A
Review". IEEE Transactions on Evolutionary
Computation.Vol. 20, Issue
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Gang Chen, Colin Douch, and Mengjie Zhang. "Using Learning
Classifier Systems to Learn Stochastic Decision Policies". IEEE
Transactions on Evolutionary Computation.Vol. 19, Issue
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Bing Xue, Mengjie Zhang and Will Browne. "A Comprehensive
Comparison on Feature Selection Approaches to
Classification". International Journal of Computational
Intelligence and Applications (IJCIA). Vol. 14, No. 2.
2015. pp. 1550008-1 -- 1550008-23. DOI: 10.1142/S146902681550008X .
Juan Rada-Vilela, Mark Johnston, Mengjie Zhang. "Population
Statistics for Particle Swarm Optimization: Hybrid Methods in Noisy
Optimization Problems". Swarm and Evolutionary
Computation. Vol. 22, 2015.
pp. 15-29.
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Harith Al-Sahaf, Mengjie Zhang, Mark Johnston. "Binary Image
Classification: A Genetic Programming Approach to the Problem of
Limited Training Instances". Evolutionary Computation (Journal,
MIT Press). vol. 24,
No. 1. 2016. pp. 143-182.
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Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming for
Edge Detection: A Gaussian-based Approach". Soft
Computing. Vol. 20, Issue
3. 2016. pp. 1231-1248.
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Hui Ma, Anqi Wang, Mengjie Zhang. "A Hybrid Approach Using Genetic
Programming and Greedy Search for QoS-Aware Web Service
Composition". Transaction on Large-Scale Data- and
Knowledge-Centered Systems. 2015. pp. 180-205.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Automatic
Programming via Iterated Local Search for Dynamic Job Shop
Scheduling". IEEE Transactions on
Cybernetics.Vol. 45. Issue
1. 2015. pp. 1-14. DOI:
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Juan Rada-Vilela, Mark Johnston, Mengjie Zhang. "Population
Statistics for Particle Swarm Optimization: Single-Evaluation Methods
in Noisy Optimization Problems". Soft Computing. Vol. 19, Issue 9. 2015. pp. 2691-2716 DOI:
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Juan Rada-Vilela, Mark Johnston, Mengjie Zhang. "Deception,
blindness and disorientation in particle swarm optimization applied to
noisy problems". Swarm Intelligence. Vol. 8,
No. 4. 2014. pp. 247-273
Wenlong Fu, Mark Johnston, Mengjie. "Distribution-based Invariant
Feature Construction using Genetic Programming for Edge
Detection". Soft
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Muhammad Iqbal, Will Browne, Mengjie Zhang. "Improving Genetic
Search in XCS-Based Classifier Systems through Understanding the
Evolvability of Classifier Rules". Soft Computing. Vol.
19, Issue 7. 2015. pp. 1863-1880.
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Juan Rada-Vilela, Mark Johnston, Mengjie Zhang. "Population
Statistics for Particle Swarm Optimization: Resampling Methods in
Noisy Optimization Problems". Swarm and Evolutionary
Computation. Vol. 17. 2014. pp. 37-59. DOI: 10.1016/j.swevo.2014.02.004
Bing Xue, Liam Cervante, Lin Shang, Will Browne and Mengjie
Zhang. "Binary PSO and rough set theory for feature selection: a
multi-objective filter based approach". International Journal of
Computational Intelligence and Applications (IJCIA). Vol. 13, Issue 02, June 2014. pp. 1450009-1 - 1450009-34 (34 pages). DOI: 10.1142/S1469026814500096
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Genetic
Programming for Evolving Reusable Due-date Assignment Models in Job
Shop Environments". Evolutionary Computation (Journal, MIT
Press). Vol. 22, No. 1. 2014. pp. 105-138.
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Soha Ahmed, Mengjie Zhang, Lifeng Peng. "Improving Feature
Ranking for Biomarker Discovery in Proteomics Mass Spectrometry Data
using Genetic Programming". Connection Science. Vol. 26, Issue 3, 2014. pp. 215-243. DOI: 10.1080/09540091.2014.906388.
Toktam Ebadi, Ignas Kukenys, Will N. Browne, Mengjie Zhang. "Human
Readable Feature Pattern Classification System using Learning
Classifier Systems". Evolutionary Computation
(Journal). Vol. 22, No. 4. Winter 2014. pp. 629-650.
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Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao. "Reusing
Genetic Programming for Ensemble Selection in Classification of
Unbalanced Data". IEEE Transactions on Evolutionary
Computation. Vol. 18, No. 6. 2014. pp. 893-908.
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Wenlong Fu, Mark Johnston, Mengjie Zhang. "Low-level Feature
Extraction for Edge Detection using Genetic Programming". IEEE
Transactions on Cybernetics. Vol. 44, No. 8. 2014.
pp. 1459-1472. dx.doi.org/10.1109/TCYB.2013.2286611.
Bing Xue, Mengjie Zhang, Will N. Browne. "Particle Swarm
Optimisation for Feature Selection in Classification: Novel
Initialisation and Updating Mechanisms". Applied Soft
Computing. Vol. 18, 2014.
pp. 261-276. dx.doi.org/10.1016/j.asoc.2013.09.018. (ESI Highly Cited Paper (TOP 1% worldwide)
Muhammad Iqbal, Will Browne, Mengjie Zhang. "Reusing Building
Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean
Problems". IEEE Transactions on Evolutionary
Computation. Vol. 18, No. 4. 2014. pp. 465-480
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Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Automatic
Design of Scheduling Policies for Dynamic Multi-objective Job Shop
Scheduling via Cooperative Coevolution Genetic Programming". IEEE
Transactions on Evolutionary Computation. Vol. 18, Issue 2. 2014. pp. 193 - 208. DOI: dx.doi.org/10.1109/TEVC.2013.2248159.
Muhammad Iqbal, Will Browne, Mengjie Zhang. "Learning Complex,
Overlapping and Niche Imbalance Boolean Problems Using XCS-Based
Classifier Systems". Evolutionary
Intelligence. Vol. 6, Issue 2. 2013.
pp. 73-91. DOI: dx.doi.org/10.1007/s12065-013-0091-1.
Syahaneim Marzukhi, Will Browne, Mengjie Zhang. "Adaptive
Artificial Datasets Through Learning Classifier Systems for
Classification Tasks Evolutionary Intelligence". Evolutionary
Intelligence. Vol. 6, Issue 2. 2013. pp. 93-107.
DOI: dx.doi.org/10.1007/s12065-013-0094-y.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Hybrid
evolutionary computation methods for quay crane scheduling problems
Computers & Operations Research". (Journal of) Computers and
Operations Research. Vol. 40, Issue. 8. 2013.
pp. 2083-2093.
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Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang.
"Multi-Objective Evolutionary Algorithms for Filter Based Feature
Selection in Classification". International Journal on Artificial
Intelligence Tools . Vol. 22, Issue 04, August
2013. pp. 1350024-1 --
1350024-31. DOI: 10.1142/S0218213013500243.
Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "A Novel Particle
Swarm Optimisation Approach to Detecting C ontinuous, Thin and Smooth
Edges in Noisy Images". Information Sciences (Journal,
Elsevier). Vol. 246. 2013. pp. 28-51.
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Juan Rada-Vilela, Mengjie Zhang, Winston Seah. "A performance
study on synchronicity and neighborhood size in particle swarm
optimization". Soft Computing (Springer). Vol. 17,
Issue 6. 2013. pp. 1019-1030. DOI: 10.1007/s00500-013-1015-9
Muhammad Iqbal, Will Browne, Mengjie Zhang. "Evolving Optimum
Populations with XCS Classifier Systems". Soft
Computing.Vol. 17 , Issue 3, 2013.
pp. 503-518. DOI: 10.1007/s00500-012-0922-5
Huayang Xie, Mengjie Zhang. "Parent Selection Pressure
Auto-tuning for Tournament Selection in Genetic
Programming". IEEE Transactions on Evolutionary
Computation. Vol. 17, No. 1. 2013. pp. 1-19.
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Bing Xue, Mengjie Zhang, Will Browne. "Particle Swarm Optimisation
for Feature Selection in Classification: A Multi-Objective
Approach". IEEE Transactions on Cybernetics. Vol. 43,
No. 6. 2013. pp. 1656-1671.
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Cited Paper (TOP 1% worldwide)
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "A
Computational Study of Representations in Genetic Programming to
Evolve Dispatching Rules for the Job Shop Scheduling Problem".
IEEE Transactions on Evolutionary
Computation . Vol. 17. No. 5. 2013. pp. 621-639.
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Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Learning
Iterative Dispatching Rules for Job Shop Scheduling with Genetic
Programming". Special issue on Advanced Dispatching Rules for
Large-scale Manufacturing Systems, International Journal of Advanced
Manufacturing Technology. 2013. Vol. 67, Issue
1-4. pp. 85-100.
Urvesh Bhowan, Mark Johnston, Mengjie Zhang, Xin Yao. "Evolving
Diverse Ensembles using Genetic Programming for Classification with
Unbalanced Data". IEEE Transactions on Evolutionary
Computation. Vol. 17, No. 3. 2013. pp. 368-386.
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Bing Xue, Liam Cervante, Lin Shang, Will Browne, Mengjie
Zhang. "A Multi-Objective Particle Swarm Optimisation for Filter Based
Feature Selection in Classification Problems". Connection
Science. Vol. 24, No. 2-3, 2012. pp. 91-116
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Andy Song, Mengjie Zhang. "Genetic Programming for Detecting
Target Motions". Connection Science. Vol. 24,
No. 2-3, 2012. pp. 117-141.
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Carlton Downey, Mengjie Zhang, Jing Liu. "Parallel Linear Genetic
Programming for Multi-class Classification". Genetic Programming
and Evolvable Machines. Vol. 13, No. 3. Springer. 2012.
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Kourosh Neshatian, Mengjie Zhang, Peter Andreae. "A Filter
Approach to Multiple Feature Construction for Symbolic Learning
Classifiers Using Genetic Programming". IEEE Transactions on
Evolutionary Computation. Vol. 16,
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Urvesh Bhowan, Mark Johnston, Mengjie Zhang. "Developing New
Fitness Functions in Genetic Programming for Classification with
Unbalanced Data". IEEE Transactions on Systems, Man, and
Cybernetics (Part B). Vol. 42, No. 2. 2012. pp. 406-421.
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Rohitash Chandra, Marcus Frean and Mengjie Zhang. "Crossover-based local search in cooperative co-evolutionary feedforward neural networks". Applied Soft Computing. Vol. 12, Issue 9. 2012. pp.2924-2932. DOI: 10.1016/j.asoc.2012.04.010
Rohitash Chandra, Marcus Frean and Mengjie Zhang. "Adapting
modularity during learning in cooperative co-evolutionary recurrent
neural networks". Soft Computing. Vol. 16,
No. 6. 2012. pp. 1009-1020.
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Rohitash Chandra and Mengjie Zhang. "Cooperative Coevolution of
Elman Recurrent Neural Networks for Chaotic Time Series
Prediction". (journal of)
Neurocomputing . Vol. 86. 2012.
pp. 116-123. 10.1016/j.neucom.2012.01.014.
Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang.
"Two-Tier Genetic Programming Towards Raw Pixel Based Image
Classification". Expert Systems With
Applications.Vol. 39, Issue 16. 2012. pp. 12291-12301.
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Rohitash Chandra, Marcus Frean and Mengjie Zhang. "On the Issue of
Separability for Problem Decomposition in Cooperative
Neuro-evolution". Neurocomputing . Vol. 87.
2012. pp. 33-40. DOI: 10.1016/j.neucom.2012.02.005.
Huayang Xie, Mengjie Zhang. "Impacts of Sampling Strategies in
Tournament Selection for Genetic Programming". Soft
Computing. Vol. 16, No. 4. 2012. pp. 615-633.
DOI: 10.1007/s00500-011-0760-x.
Rohitash Chandra, Marcus Frean, Mengjie Zhang, Christian
W. Omlin. "Encoding Subcomponents in Cooperative Co-evolutionary
Recurrent Neural Networks". Neurocomputing. Vol. 74,
Issue 17. 2011. pp. 3223-3234. DOI:
10.1016/j.neucom.2011.05.003.
Huayang Xie, Mengjie Zhang. "Depth-Control Strategies for
Crossover in Tree-based Genetic Programming". (Journal of) Soft
Computing. 2011. DOI: 10.1007/s00500-011-0700-9. Vol. 15,
No. 9. 2011. pp. 1865-1878.
Ammar Mohemmed, Mark Johnston and Mengjie Zhang. "Particle swarm
optimisation based AdaBoost for object detection". (Journal of)
Soft Computing - A Fusion of Foundations, Methodologies and
Applications. DOI: 10.1007/s00500-010-0615-x. Vol. 15,
No. 9. 2011. pp. 1793-1805.
Daniel McGaughran, Mengjie Zhang. "Evolving More Representative
Programs with Genetic Programming". International Journal of
Software Engineering and Knowledge Engineering. Vol. 19,
No. 1. 2009. pp. 1-22.
David Kinzett, Mark Johnston and Mengjie Zhang. "Numerical
simplification for bloat control and analysis of building blocks in
genetic programming". (Journal of) Evolutionary
Intelligence.Vol 2, No. 4. pp. 151-168. DOI:
http://dx.doi.org/10.1007/s12065-009-0029-9. Springer. Dec 2009.
Mengjie Zhang and Phillip Wong. "Genetic Programming for Medical
Classification: A Program Simplification Approach". Genetic
Programming and Evolvable Machines. Vol. 9, No. 3,
2008. pp. 229-255. DOI 10.1007/s10710-008-9059-9.
Peter Andreae, Huayang Xie, Mengjie Zhang. "Genetic Programming
for Detecting Rhythmic Stress in Spoken English". International
Journal of Knowledge-Based and Intelligent Engineering Systems (KES
Journal). Special Issue on Genetic
Programming. Vol. 12, No. 1, 2008. pp. 15-28.
Xiaoying Gao, Le Phong Bao Vuong, and Mengjie Zhang. "Detecting
Data Records in Semi-Structured Web Sites Based on Text Token
Clustering". Journal of Integrated Computer-Aided Engineering
(ICAE).Vol. 15, No. 4, 2008. pp. 297-311.
Mengjie Zhang, Phillip Wong. "Explicitly Simplifying Evolved
Genetic Programs During Evolution". International Journal of
Computational Intelligence and Applications.Vol. 7,
No. 2, 2008. pp. 201-232.
Mengjie Zhang, Xiaoying Gao, Weijun Lou. "A New Crossover
Operator in Genetic Programming for Object Classification". IEEE
Transactions on Systems, Man and Cybernetics, Part
B.Vol. 37, No.5, 2007. pp. 1332-1243.
Mengjie Zhang. "Improving Object Detection Performance with
Genetic Programming". International Journal on Artificial
Intelligence Tools. Vol. 16, No. 5, 2007. pp. 849-873.
Mengjie Zhang. "A Linear Structured Approach and A Refined
Fitness Function in Genetic Programming for Multi-class Object
Classification". Connection
Science. Vol. 19. No. 4, 2007. pp. 339-359.
Mengjie Zhang, Urvesh Bhowan, Bunna Ny. "Genetic Programming for
Object Detection: A Two-Phase Approach with an Improved Fitness
Function". Electronic Letters on Computer Vision and Image
Analysis. Vol. 6. No. 1. 2007. pp.27-43.
Xin Li, Jinguo Zhang, Mengjie Zhang, Li Zhao. "An Approach to
Identification of Weed in Wheat Fields." Journal of Agricultural
Mechanization Research. Vol. 2007, No. 5. 2007.
pp. 64-68.
Xiaoli Ma, Guifa Teng, Mengjie Zhang. "Carbon Potential
Prediction Using Genetic Programming". Control and
Automation.Vol. 23, No. 9. 2007. pp.239-241.
Mengjie Zhang. "Using Gaussian Distribution to Construct Fitness
Functions in Genetic Programming for Multiclass Object
Classification ". Pattern Recognition Letters.
Vol. 27, Issue 11. 2006. pp.1266-1274.
Mengjie Zhang, Malcolm Lett. "Genetic Programming for Object
Detection: Improving Fitness Functions and Optimising Training
Data". IEEE Intelligent Informatics Bulletin (IEEE
Computational Intelligence Bulletin). Vol. 7, No. 1.
2006. pp. 12-21.
Dong Wang, Mengjie Zhang. "A New Approach to Multiple Class
Pattern Classification with Random Matrices".
Journal of Applied Mathematics and Decision
Sciences. Vol. 9,, No. 3, 2005. pp. 165-175.
Xiaoying Gao, Mengjie Zhang. "A Knowledge Learning Approach to
Information Extraction from Multiple Text Based Web Sites".
International Journal of Artificial Intelligence Tools.
Vol. 13, No. 3. 2004. pp. 721-738.
Xiaoying Gao, Mengjie Zhang, Peter Andreae. "Automatic Pattern
Construction for Web Information Extraction". International
Journal of Uncertainty, Fuziness, and Knowledge Based Systems.
Vol. 12, No. 4. 2004. pp. 447-470.
Mengjie Zhang, Victor Ciesielski. "Neural Networks and Genetic
Algorithms for Domain Independent Multiclass Object Detection".
International Journal on Computational Intelligence and Applications,
Vol. 4, No. 1. 2004. pp.77-108.
Mengjie Zhang, Victor Ciesielski, Peter Andreae, "A Domain
Independent Window-Approach to Multiclass Object Detection Using
Genetic Programming", EURASIP Journal on Applied Signal
Processing, Vol. 2003, No.8, pp.841-859.
Mengjie Zhang, "Object Mining in Image Data Using Neural
Networks", Communications of Information and Computing
Machinary,Vol. 5, No.2 (2002), pp.107-112.
Liu Fengqin, Zhang Mengjie and Yang Qing. Design and
Implementation of the Object-Oriented Knowledge Representation
System. In Journal of Computer Application in
Agriculture, pages 21-26, Vol. 1 , No.3, September
1993.
Zhang Mengjie, Teng Quifa, Huang Lihua and Zhao Li. Object-Oriented
Technology and its application to Expert Systems.
Journal of Office Automation (Japan), ISSN 0389-570X,
pages 171-173, Vol. 14 , No.3-4, 1993.
Zhang Mengjie and Liu Gang. Fault Diagnosis Expert System with
Knowledge Bases of Blackboard-Frame Structure. In Journal of
Hebei Agricultural University, ISSN 1000-1573, pages 73-
77, Vol. 13, No.4, 1990.
Authored Books
Fangfang Zhang, Su Nguyen, Yi Mei, Mengjie Zhang. "Genetic
Programming for Production Scheduling: An Evolutionary Learning
Approach". Springer Book Series on Studies in Machine
Learning . Spinger. 13 November 2021. ISBN: 9789811648595,
981164859X. Pages: 336 + xxxv.
Ying Bi, Bing Xue, Mengjie Zhang. "Genetic Progamming for Image
Classification: A Feature Learning Approach". Springer Book Series
on Studies in Adaptation, Learning, and
Optimization. . Springer. 8 February 2021. ISBN:
978-3-030-65926-4. Pages: 258 + xxviii.
Yanan Sun, Gary Yen, Mengjie Zhang. "Evolutionary Deep Neural
Network Design: Fundamentals and Methods". Springer Book Series
on Studies in Computational Intelligence (SCI, volume
1070). Spinger. 08 November 2022. ISBN 978-3-031-16867-3. Pages: 331 +
xvi. https://doi.org/10.1007/978-3-031-16868-0.
Edited Journal Special Issues, Books, and Conference Proceedings
Wolfgang Banzhaf, Penousal Machado, Mengjie Zhang. "Handbook of Evolutionary Machine Learning". Springer Book Series on Genetic and Evolutionary Computation. DOI: https://doi.org/10.1007/978-981-99-3814-8. Hardcover ISBN: 978-981-99-3813-1. Published: 02 November 2023. Pages: 768 + XVI.
Abhishek Gupta, Yew Soon Ong, Keneth De Jong, Mengjie
Zhang. "Guest Editorial Special Issue on Multitask Evolutionary Computation". IEEE Transaction on Evolutionary Computation. Vol. 26, Issue 2. 2022. pp. 202--205.
Yanan Sun, Mengjie Zhang, Gary G. Yen. "Evolutionary Neural Architecture Search and Applications [Guest Editorial]". IEEE Computational Intelligence Magazine. Vol. 16, Issue 3. 2021. pp. 8-9.
DOI: 10.1109/MCI.2021.3084391
Mengjie Zhang, Kay Chen Tan. "Conference Report on 2019 IEEE
Congress on Evolutionary Computation (IEEE CEC 2019) [Conference
Reports]". IEEE Computational Intelligence
Magazine. Vol. 15, Issue 1. 2021.
pp. 4-5.
DOI: 10.1109/MCI.2019.2937595
Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith
Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki (Eds.). "Big Data
Analytics in Healthcare". Springer Series Studies in Big
Data. Vol. 66. Springer International Publishing. ISBN
978-3-030-31671-6. 2020. Details
Stefano Cagnoni, HarithAl-Sahaf, YananSun, Bing Xue, Mengjie
Zhang. "Special Issue on Computer Vision, Image Processing and Pattern
Recognition". Applied Soft Computing. Vol. 97, Part
B. December 2020. pp. 106675 (1-4).
Mauro Castelli, Lukás Sekanina, Mengjie Zhang, Stefano Cagnoni,
Pablo García-Sánchez (Eds.). Genetic Programming - Proceedings of
the 21st European Conference (EuroGP 2018) . Parma, Italy, April
4-6, 2018, . Lecture Notes in Computer Science 10781, Springer 2018,
ISBN 978-3-319-77552-4
Kevin Sim, Paul Kaufmann, ..., Mengjie Zhang
(Eds.). EvoApplications 2018: Proceedings of the 21th European
Conference on Applications of Evolutionary Computation,
Lecture Notes in Computer Science,Springer (LNCS 10784).
Parma, Italy. April 4–6, 2018. 917+XXII pages. ISBN:
78-3-319-77537-1.
Su Nguyen, Yi Mei, Mengjie Zhang. "Special Issue on Automated
Design and Adaptation of Heuristics for Scheduling and Combinatorial
Optimisation". Genetic Programming and Evolvable
Machines.Vol. 19, Issues
1-2. 2018. pp. 5-7.
CFP.
Wenjian Luo, Emma Hart, Mengjie Zhang. "Guest Editorial: Special
Issue on Emergent Topics in Artificial Immune Systems". IEEE
Transactions on Emergent Topics in Computational
Intelligence. Vol. 1, No. 4. 2017. pp. 235.
Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li,
Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin: Simulated
Evolution and Learning - 11th International Conference, SEAL 2017,
Shenzhen, China, November 10-13, 2017, Proceedings. Lecture Notes in
Computer Science 10593, Springer 2017, ISBN 978-3-319-68758-2.
Giovanni Squillero, Kevin Sim, ..., Mengjie Zhang
(Eds.). EvoApplications 2017: Proceedings of the 20th European
Conference on Applications of Evolutionary Computation (Part I),
Lecture Notes in Computer Science,Springer (LNCS 10199).
Amsterdam, The Netherlands, April 19-21, 2017. 242+XXIV pages. ISBN:
78-3-319-55848-6.
Giovanni Squillero, Kevin Sim, ..., Mengjie Zhang
(Eds.). EvoApplications 2017: Proceedings of the 20th European
Conference on Applications of Evolutionary Computation (Part II),
Lecture Notes in Computer Science,Springer (LNCS 10200).
Amsterdam, The Netherlands, April 19-21, 2017. 904+XXIV pages. ISBN:
78-3-319-55791-5.
Stefano Cagnoni, Mengjie Zhang. "Foreword: special issue on
evolutionary computer vision and pattern
recognition". Evolutionary
Intelligence. 2016.
DOI: 10.1007/s12065-016-0142-5.
Giovanni Squillero, Paolo Burelli, ..., Mengjie Zhang
(Eds.). EvoApplications 2016: Proceedings of the 19th European
Conference on Applications of Evolutionary Computation (Part I),
Lecture Notes in Computer Science,Springer (LNCS 9597).
Porto, Portugal, March 30 --April 1, 2016. 849+XXV pages. ISBN:
978-3-319-31203-3.
Giovanni Squillero, Paolo Burelli, ..., Mengjie Zhang
(Eds.). EvoApplications 2016: Proceedings of the 19th European
Conference on Applications of Evolutionary Computation (Part I),
Lecture Notes in Computer Science,Springer (LNCS 9598).
Porto, Portugal, March 30 --April 1, 2016. 329+XXVI pages. ISBN:
978-3-319-31152-4.
Wei Fang, Xiaodong Li, Mengjie Zhang, Mengqi Hu. "Editorial:
Nature-Inspired Algorithms for Real-World Optimization
Problems". Journal of Applied Mathematics. Special Issue on
Nature-Inspired Algorithms for Real-World Optimization
Problems.Vol. 2015. 2015. pp. 359203:1-359203:2.
Antonio M. Mora, Giovanni Squillero, ..., Mengjie Zhang
(eds.) EvoApplications 2015: Proceedings of the 18th European
Conference on Applications of Evolutionary Computation, Lecture Notes
in Computer Science,Springer (LNCS
9028). Copenhagen, Denmark, April 8-10, 2015. 913+XXVII
pages. ISBN: 978-3-319-16548-6.
Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam
Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod
Singh, Kay Chen Tan, Ke Tang (Eds.): Simulated Evolution and Learning
- 10th International Conference (SEAL 2014), Dunedin, New Zealand,
December 15-18, 2014. Proceedings. Lecture Notes in Computer Science
8886, Springer 2014. 862+XVI pages ISBN 978-3-319-13562-5.
Dirk Arnold, Mengjie Zhang, Ryan Urbanowicz, Muhammad Iqbal,
Kamran Shafi, Forrest Stonedahl, William Rand, Tea Tusar, Boris
Naujoks, David Walker, Richard Everson, Jonathan Fieldsend, Stefan
Wagner, Michael Affenzeller, Zhun Fan, Yaochu Jin, Hod Lipson, Erik
Goodman, Alexandru-Adrian Tantar, Emilia Tantar, Peter A. N. Bosman,
Kent McClymont, Kevin Sim, Gabriela Ochoa, Ed Keedwell, Anna I
Esparcia-Alcazar,Frank W. Moore, Jaume Bacardit, Ignacio Arnaldo,
Kalyan Veeramachaneni, Una-May O'Reilly, Stephen L. Smith, Stefano
Cagnoni, Robert M. Patton, Steven Gustafson, Ekaterina Vladislavleva,
John Woodward, Jerry Swan, Earl Barr, Krzysztof Krawiec, Chris Simons,
John Clark, Dirk Sudholt, Anna Esparcia, Aniko Ekart, Carola Doerr,
Anne Auger (editors), GECCO Comp '14: Proceedings of the 2014
conference companion on Genetic and evolutionary computation
companion. Vancouver, BC, Canada, 2014.
Anna I. Esparcia-Alcazar, Antonio M. Mora, Antonio M. Mora, Paolo
Burelli, William S. Bush, ..., Mengjie Zhang, Nur Zincir-Heywood
(eds.) EvoApplications 2014: Proceedings of the 17th European
Conference on Applications of Evolutionary Computation, Lecture
Notes in Computer Science,Springer (LNCS
8602). Granada, Spain, April 23-25. 969+XXVIII pages. ISBN:
978-3-662-45523-4.
Taehyun Rhee, Ramesh Rayudu, Christopher Hollitt, John Lewis,
Mengjie Zhang (eds.). Proceedings of 2013 28th International
Conference on Image and Vision Computing New Zealand (IVCNZ
2013). Wellington, New Zealand. 27-29 November 2013. ISBN:
978-1-4799-0882-0. DOI:
10.1109/IVCNZ.2013.6727069
Mengjie Zhang, Mario Koeppen, Sergio Damas. "Special Issue on
Computational Intelligence in Computer Vision and Image Processing
[Guest Editorial]". IEEE Computational Intelligence
Magazine. Vol. 8, Issue 1. 2013. pp. 14-15.
DOI: 10.1109/MCI.2012.2228585
Anna Isabel Esparcia-Alcazar, Sara Silva, Kevin Sim, Stefano
Cagnoni, Alexandros Agapitos, Anabela Simoes, Neil Urquhart, Carlos
Cotta, Ivanoe De Falco, Evert Haasdijk, J.J. Merelo, Antonio Della
Cioppa, Giovanni Squillero, Francisco Fernandez de Vega, Ernesto
Tarantino, Konrad Diwold, Mengjie Zhang, Aniko Ekart, Andrea
Tettamanzi, A.E. Eiben, Paolo Burelli, Philipp Rohlfshagen, Robert
Schaefer, Kyrre Glette (eds.) EvoApplications 2013: Proceedings
of the 16th European Conference on Applications of Evolutionary
Computation, Lecture Notes in Computer Science, Springer (LNCS
7835). Vienna, Austria, April 3-5, 2013. 639+XXVII
pages. ISBN: 978-3-642-37191-2.
Mengjie Zhang, Michael Kirley and Xiaodong Li. "special issue on
evolutionary optimisation and learning". (Journal of) Soft
Computing. DOI: 10.1007/s00500-010-0609-8. Vol. 15,
No. 9. 2011. pp. 1671-1673.
Michael Kirley, Mengjie Zhang and Xiaodong Li. "Special Issue on
Simulated Evolution and Learning". Evolutionary
Intelligence.Vol 2, No. 4. pp. 149-150. DOI:
http://dx.doi.org/10.1007/s12065-009-0033-0. Springer. Dec 2009.
Wayne Wobcke, Mengjie Zhang. AI 2008: Advances in Artificial
Intelligence, 21st Australasian Joint Conference on Artificial
Intelligence , Lecture Notes in Computer Science Springer
(LNCS 5360) , Auckland, New Zealand, December 1-5,
2008. Proceedings Springer 2008. 616+xvi pages. ISBN:
978-3-540-89377-6.
Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green,
Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim
Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jurgen Branke, Yuhui Shi
(Eds.) (2008). Proceedings of the 7th International
Conference on Simulated Evolution And Learning (SEAL 2008), Lecture
Notes in Computer Science Springer (LNCS 5361), Melbourne,
Australia, December 7 - 10, 2008. 658+xvi pages. ISBN:
978-3-540-89693-7
Refereed Book Chapters and LNCS/LNAI Publications
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang. "Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression". Proceedings of 27th European Conference on Genetic Programming (EuroGP 2024). Lecture Notes in Computer Science.Vol. 14631 Springer. Aberystwyth, UK, April 3-5, 2024. pp. 142-158.
Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang. "Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data". Proceedings of 27th European Conference on Applications of Evolutionary Computation (EvoApplications 2024). Lecture Notes in Computer Science.Vol. 14635 Springer. Aberystwyth, UK, April 3-5, 2024. pp. 196-211.
Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang. "Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach". Proceedings of 27th European Conference on Applications of Evolutionary Computation (EvoApplications 2024). Lecture Notes in Computer Science.Vol. 14635 Springer. Aberystwyth, UK, April 3-5, 2024. pp. 413-429. (Best Paper Award )
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang. "Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression". Proceedings of the 21st Australasian Conference on Data Science and Machine Learning (AusDM 2023). Communications in Computer and Information Science (CCIS). Vol. 1943. Springer. Auckland, New Zealand. 11-13 December 2023. pp. 163-176.
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang. "Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming". Proceedings of the 21st Australasian Conference on Data Science and Machine Learning (AusDM 2023). Communications in Computer and Information Science (CCIS). Vol. 1943. Springer. Auckland, New Zealand. 11-13 December 2023. pp. 254-269.
Mitchell Rogers, Igor Debski, Johannes Fischer, Peter McComb, Peter Frost, Bing Xue, Mengjie Zhang, Patrice Delmas.
"Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging". Proceeding of 21st International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2023). Lecture Notes in Computer Science.Vol. 14124 Kumamoto, Japan. 21-23 August 2023. pp. 287-298.
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang. "A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling". Proceedings of the 36th Australasian Joint Conference on Artificial Intelligence ({AI} 2023 Part {II}), Lecture Notes in Computer Science,Vol. 14472. Springer. Brisbane, Australia. 28 November - 01 December 2023. pp. 403-415.
Mohamad Rimas, Qi Chen, Mengjie Zhang:
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming. Proceedings of the 36th Australasian Joint Conference on Artificial Intelligence ({AI} 2023 Part {II}), Lecture Notes in Computer Science,Vol. 14472. Springer. Brisbane, Australia. 28 November - 01 December 2023. pp. 429-440.
Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang. "Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling". Proceedings of the 36th Australasian Joint Conference on Artificial Intelligence ({AI} 2023 Part {II}), Lecture Notes in Computer Science,Vol. 14472. Springer. Brisbane, Australia. 28 November - 01 December 2023. pp. 466-478.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang. "Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction". Proceedings of the 20th Pacific Rim International Conference on Artificial Intelligence ({PRICAI} 2023,Part {II}), Lecture Notes in Computer Science. Springer. Vol. 14326. Jakarta, Indonesia. 15-19 November 2023. pp. 385--397.
Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf and Mengjie Zhang. "MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning". Proceedings of the 26th European Conference on Genetic Programming (EuroGP 2023). Lecture Notes in Computer Science. Vol. 13986 . Springer. Brno, Czech Republic, 12-14 April 2023. pp. 84-100. (accepted on 19-Jan-2023)
Jiabin Lin, Qi Chen, Bing Xue and Mengjie Zhang. "AMTEA-based Multi-task Optimisation for Multi-objective Feature Selection in Classification". Proceedings of the 26th
International Conference on the Applications of Evolutionary
Computation (EvoApplications 2023). Lecture Notes in Computer Science. Vol. 13989. Springer. Brno, Czech Republic, 12-14 April 2023. pp. 623-639 (accepted on
19-Jan-2023)
Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang. "Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud". Proceedings of the 20th International Conference on Service-Oriented Computing (ICSOC 2022), Lecture Notes in Computer Science. Vol. 13740. Springer. 2022. pp. 433-448. (Distinguished Paper Award)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang. "EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search". Proceedings of
the 35th Australasian Joint Conference on Artificial
Intelligence (AI 2022). Lecture Notes in Computer
Science. Vol. 13728. Springer. Adelaide, Australia. 5-8 December 2022. pp. 116-130
Ruwang Jiao, Bing Xue, Mengjie Zhang. "Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification". Proceedings of
the 35th Australasian Joint Conference on Artificial
Intelligence (AI 2022). Lecture Notes in Computer
Science. Vol. 13728. Springer. Adelaide, Australia. 5-8 December 2022. pp. 237-251
Peng Wang, Bing Xue, Jing J. Liang, Mengjie
Zhang. "Niching-Assisted Genetic Programming for Finding Multiple
High-Quality Classifiers". Proceedings of the 35th Australasian
Joint Conference on Artificial Intelligence (AI 2022). Lecture Notes
in Computer Science. Vol. 13728. Springer. Adelaide,
Australia. 5-8 December 2022. pp. 279-293
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang. "Evolving Effective
Ensembles for Image Classification Using Multi-objective Multi-tree
Genetic Programming". Proceedings of the 35th Australasian Joint
Conference on Artificial Intelligence (AI 2022). Lecture Notes in
Computer Science. Vol. 13728. Springer. Adelaide,
Australia. 5-8 December 2022. pp. 294-307
Jesse Wood, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Daniel
Killeen. "Automated Fish Classification Using Unprocessed Fatty Acid
Chromatographic Data: A Machine Learning Approach". Proceedings of
the 35th Australasian Joint Conference on Artificial Intelligence (AI
2022). Lecture Notes in Computer Science. Vol. 13728.
Springer. Adelaide, Australia. 5-8 December 2022. pp. 516-529
Wenlong Fu, Bing Xue and Mengjie Zhang. "Evolving U-Nets using
Genetic Programming for Land Tree Segmentation". Proceedings of
Image Vision Computing New Zealand (IVCNZ 2022). Lecture Notes in
Computer Science. Vol. 13836. Springer. Aucklandm New
Zealand. 24-25 November 2022. pp. 188-201.
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang. "Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling". Proceedings of the 17th International Conference Parallel Problem Solving from Nature - PPSN XVII (PPSN (2) 2022). pp. 48-62
Christian Raymond, Qi Chen, Bing Xue and Mengjie
Zhang. "Multi-objective GP with AWS for Symbolic
Regression". Proceedings of the 25th European Conference on
Genetic Programming (EuroGP 2022). Lecture Notes in Computer
Science. Vol. 13223. Springer. 2022. pp. 51-67
Zhixing Huang, Fangfang Zhang, Yi Mei and Mengjie Zhang. "An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling". Proceedings of the 25th European Conference on Genetic Programming (EuroGP 2022). Lecture Notes in ComputerScience. Vol. 13223. Springer. 2022. pp. 162-178
Sai Panda, Yi Mei and Mengjie Zhang. "Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling". Proceedings of the 22nd European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2022)Vol. 13222. Springer. 2022. 16pp. 95-110
Demelza Robinson, Qi Chen, Bing Xue, Daniel Killen, Keith C Gordon
and Mengjie Zhang. "A New Genetic Algorithm for Automated Spectral
Pre-processing in Nutrient Assessment". Proceedings of the 25th
International Conference on the Applications of Evolutionary
Computation (EvoApplications 2022). LNCS 13224. Springer. 2022. pp. 283-298
Gonglin Yuan, Bing Xue and Mengjie Zhang. "A Two-Stage Efficient
Evolutionary Neural Architecture Search Method for Image
Classification". Proceedings of the 18th Pacific Rim International
Conference on Artificial Intelligence (PRICAI-2021). Lecture Notes in
Artificial Intelligence. Vol. 13031. Springer. 2021. pp. 469-484
Peng Wang, Bing Xue, Jing Liang and Mengjie Zhang. "Improved
Crowding Distance in Multi-objective Optimization for Feature
Selection in Classification". Proceedings of the 24th
International Conference on the Applications of Evolutionary
Computation (EvoApplications
2021).Springer. Vol. 12694. Virtual Event. 7-9 April
2021. pp. 489--505.
Bin Wang, Bing Xue, Mengjie Zhang. "Particle Swarm Optimisation
for Evolving Deep Convolutional Neural Networks for Image
Classification: Single- and Multi-objective Approaches". Deep
Neural Evolution. Natural Computing
Series, DOI:
10.1007/978-981-15-3685-4_6 . 2020. (accepted)
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Hessian
Complexity Measure for Genetic Programming-based Imputation Predictor
Selection in Symbolic Regression with Incomplete
Data". Proceedings of the 23rd European Conference on Genetic
Programming (EuroGP 2020). Lecture Notes in Computer
Science. Vol. 12101. Springer. 2020. pp. 1-17.
Fangfang Zhang, Yi Mei, Su Nguyen and Mengjie Zhang. "Guided
Subtree Selection for Genetic Operators in Genetic Programming for
Dynamic Flexible Job Shop Scheduling". Proceedings of the 23rd
European Conference on Genetic Programming (EuroGP 2020). Lecture
Notes in Computer
Science. Vol. 12101. Springer. 2020. pp. 262-278.
Fangfang Zhang, Yi Mei, Su Nguyen and Mengjie Zhang. "Genetic
Programming with Adaptive Search Based on the Frequency of Features
for Dynamic Flexible Job Shop Scheduling". Proceedings of the
20th European Conference on Evolutionary Computation in Combinatorial
Optimisation (EvoCOP 2020)Vol. 12102. Springer. 2020. pp. 214-230
Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. Proceedings of the 16th International Conference Parallel Problem Solving from Nature - PPSN XVI, PPSN 2020 (1) , Leiden, The Netherlands, September 5-9, 2020. pp. 3-18
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Genetic
Programming for Imputation Predictor Selection and Ranking in Symbolic
Regression with High-dimensional Incomplete Data". Proceedings of
the 32nd Australasian Joint Conference on Artificial
Intelligence. Lecture Notes in Computer
Science. Vol. 11919. Springer. Adelaide, Australia. 2-5
December 2019. pp. 523-535
Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf and Mengjie
Zhang. "Genetic Programming with Pareto Local Search for
Many-Objective Job Shop Scheduling". Proceedings of the 32nd
Australasian Joint Conference on Artificial Intelligence. Lecture
Notes in Computer
Science. Vol. 11919. Springer. Adelaide, Australia. 2-5
December 2019. pp. 536-548
Samaneh Azari, Bing Xue, Mengjie Zhang and Lifeng Peng. "A
Decomposition Based Multi-objective Genetic Programming Algorithm for
Classification of Highly Imbalanced Tandem Mass
Spectrometry". Pattern Recognition - 5th Asian Conference, {ACPR
(2)} 2019, Auckland, New Zealand, November 26-29, 2019, Revised
Selected Papers, Part {II}. 2019. pp. 449-463.
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Genetic
Programming-based Simultaneous Feature Selection and Imputation for
Symbolic Regression with Incomplete Data". Pattern Recognition -
5th Asian Conference, {ACPR (2)} 2019, Auckland, New Zealand, November
26-29, 2019, Revised Selected Papers, Part
{II}. 2019. pp. 449-463.
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang. "A Novel Genetic
Programming Algorithm with Knowledge Transfer for Uncertain
Capacitated Arc Routing Problem". Proceedings of the 16th Pacific
Rim International Conference on Artificial Intelligence, Part I
(PRICAI(1) 2019). Lecture Notes in Computer Science.
Vol. 11670, Cuvu, Fiji. August 26-30, 2019. pp.196--200.
Bin Wang, Bing Xue, Mengjie Zhang and Yanan Sun. "A Hybrid GA-PSO
Method for Evolving Architecture and Short Connections of Deep
Convolutional Neural Networks". Proceedings of the 16th Pacific
Rim International Conference on Artificial Intelligence, Part III
(PRICAI(3) 2019). Lecture Notes in Computer Science.
Vol. 11672, Cuvu, Fiji. August 26-30, 2019. pp.650-663.
Samaneh Azari, Bing Xue, Mengjie Zhang and Lifeng
Peng. "Improving the Results of De novo Peptide Identification via
Tandem Mass Spectrometry Using a Genetic Programming-based Scoring
Function for Re-ranking Peptide-Spectrum Matches". The 16th Pacific
Rim International Conference on Artificial Intelligence, Part III
(PRICAI(3) 2019). Lecture Notes in Computer Science.
Vol. 11672. Cuvu, Fiji. August 26-30, 2019. pp. 474-487.
Andrew Lensen, Bing Xue, Mengjie Zhang. "Can Genetic Programming
Do Manifold Learning Too?". Proceedings of the 22nd European
Conference on Genetic Programming (EuroGP 2019). Lecture Notes in
Computer Science. Springer. Vol. 11451. Leipzig,
Germany. 24-26 April 2019. pp. 114-130
Fangfang Zhang, Yi Mei, Mengjie Zhang. "A New Representation in
Genetic Programming for Evolving Dispatching Rules for Dynamic
Flexible Job Shop Scheduling". Proceedings of the 19th European
Conference on Evolutionary Computation in Combinatorial Optimisation
(EvoCOP 2019) Springer. Vol. 11452. Leipzig, Germany. 24-26
April 2019. pp. 33-49.
Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng. "GA-Novo: De
Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic
Algorithm". Proceedings of the 22nd International Conference on
the Applications of Evolutionary Computation (EvoApplications
2019).Springer. Vol. 11454. Leipzig, Germany. 24-26
April 2019. pp. 72-89.
Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt,
Mengjie Zhang: Genetic Programming for Feature Selection and Feature
Combination in Salient Object Detection. Proceedings of the 22nd
International Conference on the Applications of Evolutionary
Computation (EvoApplications
2019).Springer. Vol. 11454. Leipzig, Germany. 24-26 April
2019. pp. 308-324.
Fangfang Zhang, Yi Mei and Mengjie Zhang. "Genetic Programming
with Multi-tree Representation for Dynamic Flexible Job Shop
Scheduling". Proceedings of the 31st Australasian Joint Conference
on Artificial Intelligence (AI 2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 472-484.
Ying Bi, Bing Xue and Mengjie Zhang. "A Gaussian Filter-based
Feature Learning Approach Using Genetic Programming to Image
Classification". Proceedings of the 31st Australasian Joint Conference
on Artificial Intelligence (AI 2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 251-257.
Jordan MacLachlan, Yi Mei, Juergen Branke and Mengjie Zhang. "An
improved Genetic Programming Hyper-heuristic for the Uncertain
Capacitated Arc Routing Problem". Proceedings of the 31st
Australasian Joint Conference on Artificial Intelligence (AI
2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 432-444.
Wenbin Pei, Bing Xue, Lin Shang and Mengjie Zhang. "Genetic
Programming based on granular Computing for High-dimensional data in
Classification". Proceedings of the 31st Australasian Joint
Conference on Artificial Intelligence (AI 2018). Lecture Notes in
Computer Science.. Vol. 11320. Wellington, New
Zealand. 11-14 December 2018. pp. 643-655
John Park, Yi Mei, Su Nguyen, Gang Chen and Mengjie
Zhang. "Evolutionary Multitask Optimisation for Dynamic Job Shop
Scheduling using Niched Genetic Programming". Proceedings of the
31st Australasian Joint Conference on Artificial Intelligence (AI
2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 739-751
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "A Hybrid
GP-KNN Imputation for Symbolic Regression with Missing
Values". Proceedings of the 31st Australasian Joint Conference
on Artificial Intelligence (AI 2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 345-357
Atiya Masood, Gang Chen, Yi Mei and Mengjie Zhang. "Adaptive
Reference Point Generation for Many-Objective Optimization using
NSGA-III". Proceedings of the 31st Australasian Joint Conference
on Artificial Intelligence (AI 2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 358-370
Cao Truong Tran, Mengjie Zhang, Bing Xue and Peter
Andreae. "Genetic Programming with Interval Functions and Ensemble
Learning for Classification with Incomplete Data". Proceedings of
the 31st Australasian Joint Conference on Artificial Intelligence (AI
2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 577-589
Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt and
Mengjie Zhang. "A Genetic Programming approach for Constructing
Foreground and Background Saliency Features for Salient Object
Detection". Proceedings of the 31st Australasian Joint Conference
on Artificial Intelligence (AI 2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 209-215
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie Zhang. "A
Multi-tree Genetic Programming Representation For Melanoma Detection
Using Local and Global Features". Proceedings of the 31st
Australasian Joint Conference on Artificial Intelligence (AI
2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 111-123
Bin Wang, Yanan Sun, Bing Xue and Mengjie Zhang. "A Hybrid
Differential Evolution Approach to Designing Deep Convolutional Neural
Networks for Image Classification". Proceedings of the 31st
Australasian Joint Conference on Artificial Intelligence (AI
2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 237-250.
Fangfang Zhang, Yi Mei and Mengjie Zhang. "Surrogate-Assisted
Genetic Programming for Dynamic Flexible Job Shop
Scheduling". Proceedings of the 31st Australasian Joint
Conference on Artificial Intelligence (AI 2018). Lecture Notes in
Computer Science.. Vol. 11320. Wellington, New
Zealand. 11-14 December 2018. pp. 766-772.
Damien O'Neill, Bing Xue and Mengjie Zhang. "Co-Evolution of Novel
Tree-like ANNs and Activation Functions: An Observational
Study". Proceedings of the 31st Australasian Joint Conference on
Artificial Intelligence (AI 2018). Lecture Notes in Computer
Science.. Vol. 11320. Wellington, New Zealand. 11-14
December 2018. pp. 616-629
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Genetic
Programming for Job Shop Scheduling". Evolutionary and Swarm
Intelligence Algorithms. Springer, Cham. 2019. pp. 143-167.
Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang. "Sampling
Heuristics for Multi-objective Dynamic Job Shop Scheduling Using
Island Based Parallel Genetic Programming". Proceedings of 15th
International Conference on Parallel Problem Solving from Nature -
{PPSN} {XV}. Lecture Notes in Computer
Science.Vol. 11102. Coimbra, Portugal, September 8-12,
2018. pp. 347--359.
Ying Bi, Bing Xue and Mengjie Zhang. "An Automatic Feature
Extraction Approach to Image Classi cation Using Genetic
Programming". Proceedings of the 21th European Conference on
Applications of Evolutionary Computation (EvoApplications 2018).
Lecture Notes in Computer Science. Parma, Italy. 4-6 April,
2018. pp. 421-438.
Andrew Lensen, Bing Xue, Mengjie Zhang. "Generating Redundant
Features with Unsupervised Multi-Tree Genetic
Programming". Proceedings of the 21st European Conference on
Genetic Programming (EuroGP 2018). Lecture Notes in Computer
Science. Parma, Italy. 4-6 April, 2018. pp. 84-100.
John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie
Zhang. "Investigating Machine Breakdown Genetic Programming Approach
for Dynamic Job Shop Scheduling". Proceedings of the 21st European
Conference on Genetic Programming (EuroGP 2018). Lecture Notes in
Computer Science. Parma, Italy. 4-6 April, 2018. pp. 253-270
Daniel Yska, Yi Mei, Mengjie Zhang. "Genetic Programming
Hyper-heuristic with Cooperative Coevolution for Dynamic Flexible Job
Shop Scheduling". Proceedings of the 21st European Conference on
Genetic Programming (EuroGP 2018). Lecture Notes in Computer
Science. Parma, Italy. 4-6 April, 2018. pp. 306-321
Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang. "Reference Point
Adaption Method for Genetic Programming Hyper-heuristic in
Many-Objective Job Shop Scheduling". Proceedings of the he 18th
European Conference on Evolutionary Computation in Combinatorial
Optimisation (EvoCOP 2018). Lecture Notes in Computer Science.
Parma, Italy. 4-6 April, 2018. pp. 116-131.
Yi Mei, Su Nguyen and Mengjie Zhang. "Constrained Dimensionally
Aware Genetic Programming for Evolving Interpretable Dispatching Rules
in Dynamic Job Shop Scheduling". Proceedings of the 11th
International Conference on Simulated Evolution and Learning. Lecture
Notes in Computer Science. Vol 10593. Shenzhen,
China. 10-13 November 2017. pp. 435-447.
Yiming Peng, Gang Chen, Mengjie Zhang and Yi Mei. "Effective
Policy Gradient Search for Reinforcement Learning through NEAT based
Feature Extraction". Proceedings of the 11th International
Conference on Simulated Evolution and Learning. Lecture Notes in
Computer Science. Vol 10593. Shenzhen, China. 10-13
November 2017. pp. 473-485.
Qi Chen, Mengjie Zhang and Bing Xue. "Geometric Semantic Genetic
Programming with Perpendicular Crossover and Random Segment Mutation
for Symbolic Regression". Proceedings of the 11th International
Conference on Simulated Evolution and Learning. Lecture Notes in
Computer Science. Vol 10593. Shenzhen, China. 10-13
November 2017. pp. 422-434.
Andrew Lensen, Bing Xue and Mengjie Zhang. "New Representations in
Genetic Programming for Feature Construction in k-means
Clustering". Proceedings of the 11th International Conference on
Simulated Evolution and Learning. Lecture Notes in Computer
Science. Vol 10593. Shenzhen, China. 10-13 November
2017. 543-555.
Wenlong Fu, Bing Xue, Mengjie Zhang and Xiaoying
Gao. "Transductive Transfer Learning in Genetic Programming for
Document Classification". Proceedings of the 11th International
Conference on Simulated Evolution and Learning. Lecture Notes in
Computer Science. Vol 10593. Shenzhen, China. 10-13
November 2017. pp. 556-568.
Harith Al-Sahaf, Bing Xue and Mengjie Zhang. "A Multitree Genetic
Programming Representation for Automatically Evolving Texture Image
Descriptors". Proceedings of the 11th International Conference on
Simulated Evolution and Learning. Lecture Notes in Computer
Science. Vol 10593. Shenzhen, China. 10-13 November
2017. pp. 499-511. (Best Paper Award)
Binh Ngan Tran, Bing Xue, Mengjie Zhang. "Class Dependent Multiple
Feature Construction Using Genetic Programming For High-Dimensional
Data". Proceedings of the 30th Australasian Joint Conference on
Artificial Intelligence, Lecture Notes in Artificial
Intelligence. Vol. 10400. Melbourne, Australia. August
2017. pp. 182-194.
Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang. "Genetic
Programming for Multi-objective Test Data Generation in Search Based
Software Testing". Proceedings of the 30th Australasian Joint
Conference on Artificial Intelligence, Lecture Notes in Artificial
Intelligence. Vol. 10400. Melbourne, Australia. August
2017. pp. 169-181.
Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei and Mengjie
Zhang. "Evolving Transferable Artificial Neural Networks for Gameplay
Tasks via NEAT with Phased Searching". Proceedings of the 30th
Australasian Joint Conference on Artificial Intelligence, Lecture
Notes in Artificial Intelligence. Vol. 10400. Melbourne,
Australia. August 2017. pp. 39-51.
Binh Ngan Tran, Bing Xue, Mengjie Zhang. "Using Feature Clustering
for GP-Based Feature Construction on High-Dimensional Data".
Proceedings of the 20th European Conference on Genetic Programming
(EuroGP 2017). Lecture Notes in Computer
Science. Vol. 10196. Amsterdam, The Netherlands. 18-21
April 2017. pp. 210-226.
Yi Mei, Su Nguyen, Mengjie Zhang. "Evolving Time-Invariant
Dispatching Rules in Job Shop Scheduling with Genetic
Programming". Proceedings of the 20th European Conference on
Genetic Programming (EuroGP 2017). Lecture Notes in Computer
Science. Vol. 10196. Amsterdam, The Netherlands.18-21 April
2017. pp. 147-163.
Qi Chen, Mengjie Zhang, Bing Xue. "Angle-aware Geometric
Semantic Crossover in Genetic Programming for Symbolic Regression".
Proceedings of the 20th European Conference on Genetic
Programming (EuroGP 2017). Lecture Notes in Computer
Science. Vol. 10196. Amsterdam, The
Netherlands. 18-21 April 2017. pp. 229-245.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Bagging
and Feature Selection for Classification with Incomplete
Data". Proceeding of the 20th European Conference on the
Applications of Evolutionary Computation (EvoApplications 2017),
Lecture Notes in Computer
Science.Vol. 10199. Amsterdam, The Netherlands. 18-21
April 2017. pp. 471-486.
Andrew Lensen, Bing Xue, Mengjie Zhang. "Using Particle Swarm
Optimisation and the Silhouette Metric to Estimate the Number of
Clusters, Select Features, and Perform Clustering".
Proceeding of the 20th European Conference on the Applications
of Evolutionary Computation (EvoApplications 2017), Lecture Notes
in Computer Science.Vol. 10199. Amsterdam, The
Netherlands. 18-21 April 2017. pp. 538-554
Yuyu Liang, Mengjie Zhang and Will Browne. "Wrapper Feature
Construction for Figure-ground Image Segmentation Using Genetic
Programming". Proceedings of the Third Australasian Conference on
Artificial Life and Computational Intelligence (ACALCI 2017). Lecture
Notes in Artificial
Intelligence.Vol. 10142. Springer. Geelong, Australia. 30
Jan -- 2 Feb 2017. pp. 111-123.
John Park, Yi Mei, Su Nguyen, Gang Chen and Mengjie
Zhang. "Investigating the Generality of Genetic Programming based
Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine
Breakdown". Proceedings of the Third Australasian Conference on
Artificial Life and Computational Intelligence (ACALCI 2017). Lecture
Notes in Artificial
Intelligence.Vol. 10142. Springer. Geelong,
Australia. 30 Jan -- 2 Feb 2017. pp. 301-313.
Atiya Masood, Gang Chen, Yi Mei and Mengjie Zhang. "A PSO-based
Reference Point Adaption Method for Genetic Programming
Hyper-heuristic in Many-Objective Job Shop
Scheduling". Proceedings of the Third Australasian Conference on
Artificial Life and Computational Intelligence (ACALCI 2017). Lecture
Notes in Artificial
Intelligence.Vol. 10142. Springer. Geelong, Australia. 30
Jan -- 2 Feb 2017. pp. 326-338.
Boxiong Tan, Hai Huang, Hui Ma and Mengjie Zhang. "Binary PSO for
Web Service Location-Allocation". Proceedings of the Third
Australasian Conference on Artificial Life and Computational
Intelligence (ACALCI 2017). Lecture Notes in Artificial
Intelligence.Vol. 10142. Springer. Geelong,
Australia. 30 Jan -- 2 Feb 2017. pp. 366-377.
Jiaheng Wang, Bing Xue, Xiaoying Gao, and Mengjie Zhang. "A
Differential Evolution Approach to Feature and Instance Selection in
Classification". The 14th Pacific Rim International Conference on
Artificial Intelligence, Lecture Notes in Computer
Science. Vol. 9810. August 22-26, 2016, Phuket,
Thailand. pp. 588-602.
Jianbin Ma, Bing Xue and Mengjie Zhang. "A profile-based
authorship attribution approach to forensic identification in Chinese
online messages". Pacific-Asia Workshop on Intelligence and
Security Informatics (PAISI) @PAKDD 2016, Lecture Notes in Computer
Science. . Vol. 9650.. Auckland, New Zealand, April 19,
2016. pp. 33--52.
Muhammad Iqbal, Bing Xue, Mengjie Zhang. "Reusing Extracted
Knowledge in Genetic Programming to Solve Complex Texture Image
Classification Problems". Proceedings of 20th Pacific-Asia
Conference on Knowledge Discovery in Databases (PKDDD 2016). Lecture
Notes in Computer Science.Vol. 9652. 2016.
pp. 117-129.
John Park, Yi Mei, Su Nguyen, Aaron Chen, Mark Johnston, Mengjie
Zhang. "Genetic Programming based Hyper-heuristics to Dynamic Job Shop
Scheduling: Cooperative Coevolutionary Approaches". Proceedings
of the 19th European Conference on Genetic Programming (EuroGP
2016). Lecture Notes in Computer
Science. Vol. 9594. 2016. pp. 115-132.
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue. "Genetic
Programming for Region Detection, Feature Extraction, Feature
Construction and Classification in Image Data". Proceedings of
the 19th European Conference on Genetic Programming (EuroGP
2016). Lecture Notes in Computer
Science. Vol. 9594. 2016. pp. 51-67.
Cao Truong Tran, Mengjie Zhang, Peter Andreae. "A Genetic
Programming-based Imputation Method for Classification with Missing
Data". Proceedings of the 19th European Conference on Genetic
Programming (EuroGP 2016). Lecture Notes in Computer
Science. Vol. 9594. 2016. pp. 149-163.
Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie
Zhang. "Particle Swarm Optimisation with Sequence-Like Indirect
Representation for Web Service Composition". Proceedings of the
16th European Conference on Evolutionary Computation in Combinatorial
Optimisation (EvoCOP2016), Lecture Notes in Computer
Science. Vol. 9595. 2016. pp. 202-218.
Boxiong Tan, Yi Mei, Hui Ma, Mengjie Zhang. "Particle Swarm
Optimization for Multi-Objective Web Service Location
Allocation". Proceedings of the 16th European Conference on
Evolutionary Computation in Combinatorial Optimisation (EvoCOP2016),
Lecture Notes in Computer Science. Vol. 9595. 2016.
pp. 219-234.
Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue. "A
Multi-objective Genetic programming Biomarker Detection Approach in
Mass Spectrometry Data". Proceedings of the 19th European
Conference on the Applications of Evolutionary Computation
(EvoApplications 2016, EvoBIO 2016). Lecture Notes in Computer
Science.Vol. 9597. 2016. pp. 106-122
Binh Tran Ngan, Mengjie Zhang, Bing Xue. "Bare-Bone Particle Swarm
Optimisation for Simultaneously Discretising and Selecting Features
For High-Dimensional Classification". Proceedings of the 19th
European Conference on the Applications of Evolutionary Computation
(EvoApplications 2016, EvoIASP 2016). Lecture Notes in Computer
Science.Vol. 9597. 2016. pp. 701-718.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "A
Wrapper Feature Selection Approach to Classification with Missing
Data". Proceedings of the 19th European Conference on the
Applications of Evolutionary Computation (EvoApplications 2016,
EvoIASP 2016). Lecture Notes in Computer
Science.Vol. 9597. 2016. pp. 685-700.
Nasser Sabar, Andy Song, Mengjie Zhang. "A Variable Local Search
based Memetic Algorithm for the Load Balancing Problem in Cloud
Computing". Proceedings of the 19th European Conference on the
Applications of Evolutionary Computation (EvoApplications 2016).
Lecture Notes in Computer Science .Vol. 9597. 2016.
pp. 267-282.
Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang. "GraphEvol: A
Graph Evolution Technique for Web Service Composition".
Proceedings of 26th International Conference (DEXA 2015), Part II,
Lecture Notes in Computer Science. Vol. 9262. Valencia,
Spain, September 1-4, 2015. pp. 134-142.
Hoai Bach Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie
Zhang. "Gaussian Transformation based Representation in Particle Swarm
Optimisation for Feature Selection". Proceedings of the 18th European
Conference on the Applications of Evolutionary Computation
(EvoApps 2015). Lecture Notes in Computer
Science. Vol. 9028. Copenhagen, Denmark. 8-10 April
2015. pp. 541-553.
Yuyu Liang, Mengjie Zhang, Will Browne. "Genetic Programming
based Image Segmentation using Low-level Features". Proceedings of the
18th European Conference on Evolutionary Computation (EvoApps
2015). Lecture Notes in Computer
Science. Vol. 9028. Copenhagen, Denmark. 8-10 April 2015.
pp. 491-503.
John Park, Su Nguyen, Mengjie Zhang, Mark Johnston. "Evolving
Ensembles of Dispatching Rules using Genetic Programming for Job Shop
Scheduling". Proceedings of the 18th European Conference on Genetic
Programming (EuroGP 2015). Lecture Notes in Computer
Science. Vol. 9025. Copenhagen, Denmark. 8-10 April 2015.
pp. 92-104.
Rachel Hunt, Mark Johnston, Mengjie Zhang. "Using Local Search to
Evaluate Dispatching Rules in Dynamic Job Shop
Scheduling". Proceedings of the 15th European Conference on
Evolutionary Computation in Combinatorial Optimisation (EvoCOP2015),
Lecture Notes in Computer Science. Vol. 9026. Copenhagen,
Denmark. 8-10 April 2015. pp. 222-233.
Richard Marshall, Mark Johnston, Mengjie Zhang. "Hyper-heuristic
Operator Selection and Acceptance Criteria". Proceedings of the 15th
European Conference on Evolutionary Computation in Combinatorial
Optimisation (EvoCOP2015), Lecture Notes in Computer
Science. Vol. 9026. Copenhagen, Denmark. 8-10 April 2015.
pp. 99-113.
Gang Chen, Colin Douch, Mengjie Zhang, Shaoning
Pang. "Reinforcement Learning in Continuous Spaces by Using Learning
Fuzzy Classifier Systems". Proceedings of the 22st International
Conference on Neural Information Processing (ICONIP (2) 2015), Lecture
Notes in Computer Science. Vol. 8836.
Springer. Istanbul, Turkey, November 9-12, 2015. pp. 320-328.
Gang Chen, Mengjie Zhang, Shaoning Pang, Colin Douch. "Stochastic
Decision Making in Learning Classifier Systems through a Natural
Policy Gradient Method". Proceedings of the 21st International
Conference on Neural Information Processing (ICONIP (3) 2014),
Lecture Notes in Computer Science. Vol. 8836.
Springer. Kuching, Malaysia, November 3-6, 2014. pp. 300-307
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang: Domain
Adaptive Neural Networks for Object Recognition. Proceedings of
the 13th Pacific Rim International Conference on Artificial
Intelligence (PRICAI 2014),Lecture Notes in Computer Science,
Volume 8862, Gold Coast, QLD, Australia, December 1-5,
2014. pp. 898-904.
Binh Tran, Bing Xue and Mengjie Zhang. "Improved PSO for Feature
Selection on High-Dimensional Datasets". Proceedings of the 10th
International Conference on Simulated Evolution and Learning (SEAL
2014). Lecture Notes in Computer
Science.Vol. 8886. Dunedin, New Zealand. December 15-18,
2014. pp. 503-515.
Bing Xue, Wenlong Fu and Mengjie Zhang. "Multi-Objective Feature
Selection in Classification: A Differential Evolution
Approach". Proceedings of the 10th International Conference on
Simulated Evolution and Learning (SEAL 2014). Lecture Notes in
Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 516-528.
Richard Marshall, Mark Johnston and Mengjie Zhang. "A Comparison
between Two Evolutionary Hyper-heuristics for Combinatorial
Optimisation". Proceedings of the 10th International Conference
on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in
Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 618-630.
Su Nguyen, Mengjie Zhang, Mark Johnston and Kay Chen
Tan. "Selection Schemes in Surrogate-assisted Genetic Programming for
Job Shop Scheduling". Proceedings of the 10th International
Conference on Simulated Evolution and Learning (SEAL 2014). Lecture
Notes in Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 656-667.
Richard Marshall, Mark Johnston and Mengjie Zhang. "Developing a
Hyper-heuristic using Grammatical Evolution and the Capacitated
Vehicle Routing Problem". Proceedings of the 10th International
Conference on Simulated Evolution and Learning (SEAL 2014). Lecture
Notes in Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 668-679.
Hoai Bach Nguyen, Bing Xue, Ivy Liu and Mengjie Zhang. "PSO and
Statistical Clustering for Feature Selection: A New Representation".
Proceedings of the 10th International Conference on Simulated
Evolution and Learning (SEAL 2014). Lecture Notes in Computer
Science.Vol. 8886. Dunedin, New Zealand. December 15-18,
2014. pp. 569-581.
Harith Al-Sahaf, Mengjie Zhang and Mark Johnston. "Genetic
Programming for Multiclass Texture Classification using a Small Number
of Instances". Proceedings of the 10th International Conference
on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in
Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 335-346.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Automatic Resolution
Selection for Edge Detection using Genetic
Programming". Proceedings of the 10th International Conference on
Simulated Evolution and Learning (SEAL 2014). Lecture Notes in
Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 810-821.
Yang Yu, Hui Ma and Mengjie Zhang. "A Hybrid GP-Tabu Approach to
QoS-aware Data Intensive Web Service Composition". Proceedings of
the 10th International Conference on Simulated Evolution and Learning
(SEAL 2014). Lecture Notes in Computer
Science.Vol. 8886. Dunedin, New Zealand. December 15-18,
2014. pp. 106-118.
Isidro Alvarez, Will Browne and Mengjie Zhang. "On Learning the
Hidden Multiplexer by Reusing Learned Functionality". Proceedings
of the 10th International Conference on Simulated Evolution and
Learning (SEAL 2014). Lecture Notes in Computer
Science.Vol. 8886. Dunedin, New Zealand. December 15-18,
2014. pp. 383-394.
Soha Ahmed, Mengjie Zhang, Lifeng Peng and Bing Xue. "Genetic
Programming for Measuring Peptide Detectability". Proceedings of
the 10th International Conference on Simulated Evolution and Learning
(SEAL 2014). Lecture Notes in Computer
Science.Vol. 8886. Dunedin, New Zealand. December 15-18,
2014. pp. 593-604.
Alexandre Sawczuk Da Silva, Hui Ma and Mengjie Zhang. "A GP
Approach to QoS-Aware Web Service Composition and
Selection". Proceedings of the 10th International Conference on
Simulated Evolution and Learning (SEAL 2014). Lecture Notes in
Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 180-191.
John Park, Su Nguyen, Mengjie Zhang and Mark Johnston. "Enhancing
Heuristics for Order Acceptance and Scheduling using Genetic
Programming". Proceedings of the 10th International Conference on
Simulated Evolution and Learning (SEAL 2014). Lecture Notes in
Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 723-734.
Binh Tran, Bing Xue and Mengjie Zhang. "Overview of Particle Swarm
Optimisation for Feature Selection in
Classification". Proceedings of the 10th International Conference
on Simulated Evolution and Learning (SEAL 2014). Lecture Notes in
Computer Science.Vol. 8886. Dunedin, New
Zealand. December 15-18, 2014. pp. 605-617.
Yuyu Liang, Mengjie Zhang and Will Browne. "Image Segmentation: A
Survey of Methods based on Evolutionary Computation". Proceedings
of the 10th International Conference on Simulated Evolution and
Learning (SEAL 2014). Lecture Notes in Computer
Science.Vol. 8886. Dunedin, New Zealand. December 15-18,
2014. pp. 847-859.
John P. Lewis, Ken Anjyo, Taehyun Rhee, Mengjie Zhang, Fred
Pighin, Zhigang Deng. "Practice and Theory of Blendshape Facial
Models". Eurographics (State of the Art Reports). 2014.
pp. 199-218
Su Nguyen, Mengjie Zhang, Mark Johnston. "Enhancing
Branch-and-Bound Algorithms for Order Acceptance and Scheduling with
Genetic Programming". Proceedings of the 17th European Conference
on Genetic Programming (EuroGP 2014). Lecture Notes in Computer
Science. Volume 8599. Granada, Spain. April 23-25, 2014.
pp. 124-136.
Mitchell C. Lane, Bing Xue, Ivy Liu, Mengjie Zhang. "Gaussian
Based Particle Swarm Optimisation and Statistical Clustering for
Feature Selection". Proceedings of the 14th European Conference
on Evolutionary Computation in Combinatorial Optimisation
(EvoCOP2014), Lecture Notes in Computer Science. Volume
8600. Granada, Spain. April 23-25, 2014. pp. 133-144.
Soha Ahmed, Mengjie Zhang, Lifeng Peng. "GPMS: A Genetic
Programming Based Approach to Multiple Alignment of Liquid
Chromatography-Mass Spectrometry Data". Proceedings of the 16th
European Conference on the Applications of Evolutionary Computation
(EvoApplications 2014), Lecture Notes in Computer
Science. Vol. 8602. Granada, Spain. April 23-25, 2014.
pp. 915-927.
Yan Dai, Bing Xue, Mengjie Zhang. "New Representations in PSO for
Feature Construction in Classification". Proceedings of the 16th
European Conference on the Applications of Evolutionary Computation
(EvoApplications 2014), Lecture Notes in Computer
Science. Vol. 8602. Granada, Spain. April 23-25, 2014.
pp. 476-488.
Bing Xue, Su Nguyen, Mengjie Zhang. "A New Binary Particle Swarm
Optimisation Algorithm for Feature Selection". Proceedings of the
16th European Conference on the Applications of Evolutionary
Computation (EvoApplications 2014), Lecture Notes in Computer
Science. Vol. 8602. Granada, Spain. April 23-25, 2014.
pp. 501-513.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "Is a Single Image
Sufficient for Evolving Edge Features by Genetic
Programming?". Proceedings of the 16th European Conference on the
Applications of Evolutionary Computation (EvoApplications 2014),
Lecture Notes in Computer Science. Vol. 8602. Granada,
Spain. April 23-25, 2014. pp. 451-463.
Hai Huang, Hui Ma, Mengjie Zhang. "An Enhanced Genetic Algorithm
for Web Service Location-Allocation". Proceedings of the 25th
International Conference on Database and Expert Systems Applications
-- Part II (DEXA (2) 2014), Lecture Notes in Computer
Science. Vol. 8645. Munich, Germany, September 1-4, 2014.
pp. 9-17.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Dynamic
Multi-Objective Job Shop Scheduling: A Genetic Programming
Approach". Book Chapter on Automated Scheduling and Planning (Neil
Urquhart, Sima Etaner-Uyar, Ender Ozcan, eds.), Studies in
Computational Intelligence,
Springer. 2013. pp. 251-282. Online
Harith Al-Sahaf, Mengjie Zhang and Mark Johnston. "A One-shot
Learning Approach to Image Classification using Genetic
Programming". Proceedings of the 26th Australasian Joint
Conference on Artificial Intelligence (AI2013). Lecture Notes in
Computer Science. Dunedin, New Zealand. 1-6 December 2013.
pp. 110-122.
Mitchell C. Lane, Bing Xue, Ivy Liu and Mengjie Zhang. "Particle
Swarm Optimisation and Statistical Clustering for Feature
Selection". Proceedings of the 26th Australasian Joint Conference
on Artificial Intelligence (AI2013). Lecture Notes in Computer
Science. Dunedin, New Zealand. 1-6 December 2013. pp. 214-220.
John Park, Su Nguyen, Mark Johnston and Mengjie Zhang. "Evolving
Stochastic Dispatching Rules for Order Acceptance and Scheduling via
Genetic Programming". Proceedings of the 26th Australasian Joint
Conference on Artificial Intelligence (AI2013). Lecture Notes in
Computer Science. Dunedin, New Zealand. 1-6 December 2013.
pp. 478-489.
Anqi Wang, Hui Ma, Mengjie Zhang. "Genetic Programming with Greedy
Search for Web Service Composition". Proceedings of the 24th
International Conference on Database and Expert Systems Applications
-- Part II (DEXA (2) 2013), Lecture Notes in Computer
Science. Prague, Czech Republic August 26 - 30, 2013.
pp. 9-17.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Learning
Reusable Initial Populations for Multi-objective Order Acceptance and
Scheduling Problems with Genetic Programming". Proceedings of the
16th European Conference on Genetic Programming (EuroGP 2013).
Lecture Notes in Computer Science. Vol. 7831. Vienna,
Austria. 3-5 April 2013. pp. 157-168. (Nominated for the Best
Paper Award)
Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang. "A
Multi-Objective Feature Selection Approach Based on Binary PSO and
Rough Set Theory". Proceedings of the 13th European Conference on
Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2013).
Lecture Notes in Computer Science. Vol. 7832. Vienna,
Austria. 3-5 April 2013. pp. 25-36.
Soha Ahmed, Mengjie Zhang, Lifeng Peng. "Feature Selection and
Classification of High Dimensional Mass Spectrometry Data: A Genetic
Programming Approach". Proceedings of the 11th European Conference
on Evolutionary Computation, Machine Learning and Data Mining in
Computational Biology (EvoBIO 2013). Lecture Notes in Computer
Science. Vol. 7833. Vienna, Austria. 3-5 April 2013.
pp. 43-55.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming for
Automatic Construction of Variant Features in Edge
Detection". Proceedings of the 16th European Conference on
Applications of Evolutionary Computation (EvoApplications
2013). Lecture Notes in Computer Science. Vol. 7835.
Vienna, Austria, April 3-5, 2013. pp. 354-364.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "Automatic Construction
of Gaussian-Based Edge Detectors Using Genetic
Programming". Proceedings of the 16th European Conference on
Applications of Evolutionary Computation (EvoApplications
2013). Lecture Notes in Computer Science. Vol. 7835.
Vienna, Austria, April 3-5, 2013. pp. 365-375. (Nominated for the Best
Paper Award)
Bing Xue, Mengjie Zhang, Will N. Browne. "Novel Initialisation and
Updating Mechanisms in PSO for Feature Selection in
Classification". Proceedings of the 16th European Conference on
Applications of Evolutionary Computation (EvoApplications
2013). Lecture Notes in Computer Science. Vol. 7835.
Vienna, Austria, April 3-5, 2013. pp. 428-438.
Bing Xue, Liam Cervante, Lin Shang and Mengjie Zhang. "A Particle
Swarm Optimisation Based Multi-Objective Filter Approach to Feature
Selection for Classification". Proceeding of the 12th Pacific Rim
International Conference on Artificial Intelligence (PRICAI
2012). Lecture Notes in Artificial
Intelligence.Vol. 7458. Kuching, Sarawak, Malaysia. 3-7
September 2012. pp. 673-685.
Lin Shang, Haipeng Wang, Xinyu Dai and Mengjie Zhang. "Opinion
Target Extraction for Short CommentsOpinion Target Extraction for
Short Comments". Proceeding of the 12th Pacific Rim International
Conference on Artificial Intelligence (PRICAI 2012). Lecture Notes in
Artificial Intelligence. Vol. 7458. Kuching, Sarawak, Malaysia. 3-7
September 2012. pp. 528-539.
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Evolving
Reusable Operation-Based Due-Date Assignment Models for Job Shop
Scheduling with Genetic Programming". Proceedings of the 15th
European Conference on Genetic Programming. Lecture Notes in Computer
Science. Vol. 7244. Springer. 2012.
pp. 121-133. DOI: 10.1007/978-3-642-29139-5_11.
Kourosh Neshatian, Mengjie Zhang. "Improving Relevance Measures
Using Genetic Programming". Proceedings of the 15th European
Conference on Genetic Programming. Lecture Notes in Computer
Science. Vol. 7244. Springer. 2012.
pp. 97-108. DOI: 10.1007/978-3-642-29139-5_9.
Muhammad Iqbal, Will Browne and Mengjie Zhang. "XCSR with
Computed Continuous Action". Proceedings of the 25th
Australasian Joint Conference on Artificial Intelligence. Lecture
Notes in Artificial Intelligence.Vol. 7691.
Springer. Sydney, Australia, December 2012. pp. 350-361.
Ruobing Li, Wenkai Li, Lin Shang, Yang Gao and Mengjie
Zhang. "Opponent's Style Modeling Based on Situations for Bayesian
Poker". Proceedings of the 25th Australasian Joint Conference on
Artificial Intelligence. Lecture Notes in Artificial
Intelligence.Vol. 7691. Springer. Sydney, Australia,
December 2012. pp. 385-396.
Aaron Scoble, Mark Johnston and Mengjie Zhang. "Local Search in
Parallel Linear Genetic Programming for Multiclass
Classification". Proceedings of the 25th Australasian Joint
Conference on Artificial Intelligence. Lecture Notes in Artificial
Intelligence.Vol. 7691. Springer. Sydney, Australia,
December 2012. pp. 373-384
Soha Ahmed, Mengjie Zhang and Lifeng Peng. "Genetic Programming
for Biomarker Detection in Mass Spectrometry Data". Proceedings
of the 25th Australasian Joint Conference on Artificial
Intelligence. Lecture Notes in Artificial
Intelligence.Vol. 7691. Springer. Sydney, Australia,
December 2012. pp. 266-278.
Liam Cervante, Bing Xue, Lin Shang and Mengjie Zhang. "A
Dimension Reduction Approach to Classification Based on Particle Swarm
Optimisation and Rough Set Theory". Proceedings of the 25th
Australasian Joint Conference on Artificial Intelligence. Lecture
Notes in Artificial Intelligence.Vol. 7691.
Springer. Sydney, Australia, December 2012. pp. 313-325.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Automatic
Construction of Invariant Features Using Genetic Programming for Edge
Detection". Proceedings of the 25th Australasian Joint Conference
on Artificial Intelligence. Lecture Notes in Artificial
Intelligence.Vol. 7691. Springer. Sydney, Australia,
December 2012. pp. 144-155.
Rachel Hunt, Kourosh Neshatian, Mengjie Zhang. "A Genetic
Programming Approach to Hyper-heuristic Feature
Selection". Proceedings of the Ninth International Conference on
Simulated Evolution And Learning (SEAL2012). Lecture Notes in Computer
Science, Vol. 7673. Springer. Hanoi, Vietname, Decmember
2012. pp. 320-330.
Wenlong Fu, Mark Johnston, Mengjie. "Figure of Merit Based
Fitness Functions in Genetic Programming for Edge
Detection". Proceedings of the Ninth International Conference on
Simulated Evolution And Learning (SEAL2012). Lecture Notes in Computer
Science, Vol. 7673. Springer. Hanoi, Vietname, Decmember
2012. pp. 22-31.
Rohitash Chandra, Mengjie Zhang, Lifeng Peng. "Application of
Cooperative Convolution Optimization for 13C Metabolic Flux Analysis:
Simulation of Isotopic Labeling Patterns Based on Tandem Mass
Spectrometry Measurements". Proceedings of the Ninth International
Conference on Simulated Evolution And Learning (SEAL2012). Lecture
Notes in Computer Science, Vol. 7673. Springer. Hanoi,
Vietname, Decmember 2012. pp. 178-187.
Juan Rada-Velila, Mengjie Zhang, Winston Seah. "Evaporation
Mechanisms for Particle Swarm Optimization". Proceedings of the
Ninth International Conference on Simulated Evolution And Learning
(SEAL2012). Lecture Notes in Computer Science, Vol. 7673.
Springer. Hanoi, Vietname, Decmember 2012. pp. 238-247
Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan. "Automatic
Discovery of Optimisation Search Heuristics for Two Dimensional Strip
Packing using Genetic Programming". Proceedings of the Ninth
International Conference on Simulated Evolution And Learning
(SEAL2012). Lecture Notes in Computer Science, Vol. 7673.
Springer. Hanoi, Vietname, Decmember 2012. 341-350.
Jingxuan Wei and Mengjie Zhang. "Simplex Model Based Evolutionary
Algorithm for Dynamic Multi-Objective Optimization". Proceedings
of the 24th Australasian Joint Conference on Artificial
Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 7106. Springer. Perth, Australia,
December 5-8, 2011. pp. 372-381.
Rachel Hunt, Mark Johnston and Mengjie Zhang. "Improving
Robustness in Multi-Objective Genetic Programming for Object
Detection". Proceedings of the 24th Australasian Joint Conference
on Artificial Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 7106. Springer. Perth, Australia,
December 5-8, 2011. pp. 311-320.
Mahdi Setayesh, Mengjie Zhang and Mark Johnston. "Investigating
Particle Swarm Optimisation Topologies for Edge Detection in Noisy
Images". Proceedings of the 24th Australasian Joint Conference on
Artificial Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 7106. Springer. Perth, Australia,
December 5-8, 2011. pp. 609-618.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Genetic Programming
for Edge Detection Based on Accuracy of Each Training
Image". Proceedings of the 24th Australasian Joint Conference on
Artificial Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 7106. Springer. Perth, Australia,
December 5-8, 2011. pp. 301-310.
Urvesh Bhowan, Mengjie Zhang and Mark Johnston. "Ensemble Learning
and Pruning in Multi-Objective Genetic Programming for Classification
with Unbalanced Data". Proceedings of the 24th Australasian Joint
Conference on Artificial Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 7106. Springer. Perth, Australia, December 5-8,
2011. pp. 192-202.
Aaron Scoble, Mark Johnston and Mengjie Zhang. "Eliminating
Useless Object Detectors Evolved in Multiple-Objective Genetic
Programming". Proceedings of the 24th Australasian Joint
Conference on Artificial Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 7106. Springer. Perth, Australia,
December 5-8, 2011. pp. 341-350.
Carlton Downey, Mengjie Zhang. "Parallel Linear Genetic
Programming". Proceedings of the 14th European Conference on
Genetic Programming. Lecture Notes in Computer
Science.Vol. 6621. Springer. Torino, Italy
2011. pp. 178-189. ( Nominated for the Best Paper Award)
Ignas Kukenys, Will Browne, Mengjie Zhang. "Transparent, Online
Image Pattern Classication Using a Learning Classier System".
Applications of Evolutionary Computation, Lecture Notes in Computer
Science.Vol. 6624. Springer. Torino, Italy
2011. pp. 183-193.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "A Hybrid Particle
Swarm Optimisation with Differential Evolution Approach to Image
Segmentation". Applications of Evolutionary Computation, Lecture
Notes in Computer Science.Vol. 6624 Springer. Torino, Italy 2011. pp. 173-182.
Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "A Comparison of
Classification Strategies in Genetic Programming with Unbalanced
Data". Proceedings of the 23rd Australasian Joint Conference on
Artificial Intelligence. AI 2010: Advances in Artificial
Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 6464. Springer. Adelaide, Australia,
2010. pp. 243-252. (Nominated for the Best Student Paper award)
Mahdi Setayesh, Mark Johnston, Mengjie Zhang. "Edge and Corner
Extraction using Particle Swarm Optimisation". Proceedings of
the 23rd Australasian Joint Conference on Artificial Intelligence. AI
2010: Advances in Artificial Intelligence. Lecture Notes in
Artificial Intelligence. Vol. 6464. Springer. Adelaide,
Australia, 2010. pp. 323-333.
Rachel Hunt, Mark Johnston, Will Browne, Mengjie Zhang. "Sampling
Methods in Genetic Programming for Classification with Unbalanced
Data". Proceedings of the 23rd Australasian Joint Conference on
Artificial Intelligence. AI 2010: Advances in Artificial
Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 6464. Springer. Adelaide, Australia,
2010. pp. 273-282.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "Hybrid Particle Swarm
Optimisation Algorithms based on Differential Evolution and Local
Search". Proceedings of the 23rd Australasian Joint Conference
on Artificial Intelligence. AI 2010: Advances in Artificial
Intelligence. Lecture Notes in Artificial
Intelligence. Vol. 6464. Springer. Adelaide, Australia,
2010. pp. 313-322.
Rohitash Chandra, Marcus Frean, Mengjie Zhang. "An Encoding
Scheme for Cooperative Coevolutionary Neural Networks".
Proceedings of the 23rd Australasian Joint Conference on Artificial
Intelligence. AI 2010: Advances in Artificial Intelligence. Lecture
Notes in Artificial Intelligence. Vol. 6464.
Springer. Adelaide, Australia, 2010. pp. 253-262.
Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Genetic Programming
for Classification with Unbalanced Data". Proceedings of the 13th
European Conference on Genetic Programming. Lecture Notes in Computer
Science,Vol. 6021. Istanbul, Turkey. 2010. Springer.
pp. 1-13.
Mark Johnston, Thomas Liddle, Mengjie Zhang. "A Relaxed Approach
to Simplification in Genetic Programming". Proceedings of the 13th
European Conference on Genetic Programming. Lecture Notes in Computer
ScienceVol. 6021. Istanbul,
Turkey. 2010. Springer. pp. 110-121.
David Kinzett, Mengjie Zhang, Mark Johnston. "Analysis of
Building Blocks with Numerical Simplification in Genetic
Programming". Proceedings of the 13th European Conference on
Genetic Programming. Lecture Notes in Computer
Science.Vol. 6021. Istanbul,
Turkey. 2010. Springer. pp. 289-300.
Nor Azlina Ab. Aziz, Ammar Mohemmed, Mengjie Zhang. "Particle
Swarm Optimization for Coverage Maximization and Energy Conservation
in Wireless Sensor Networks". Proceedings of European Conference on
the Applications of Evolutionary Computation 2010, the 7th European
Event on the Application of Nature-inspired Techniques for
Telecommunication Networks and other Parallel and Distributed
Systems. Lecture Notes in Computer Science. Vol. 6025.
Istanbul, Turkey. 2010. Springer. pp. 51-60.
Mengjie Zhang, Mark Johnston. "A Variant Program Structure in
Tree-Based Genetic Programming for Multiclass Object
Classification". Book chapter of Evolutionary Image Analysis and
Signal Processing. Studies in Computational
Intelligence. Vol. 213. Chapter
3. Springer. 2009. pp.55-72.
Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Multi-Objective
Genetic Programming for Classification with Unbalanced Data".
Proceedings of the 22nd Australasian Joint Conference on Artificial
Intelligence (AI'09), Lecture Notes in Artificial
Intelligence. Vol. 5866, Springer. 2009. pp. 370-380.
Kourosh Neshatian, Mengjie Zhang. "Unsupervised Elimination of
Redundant Features Using Genetic Programming". Proceedings of the
22nd Australasian Joint Conference on Artificial Intelligence (AI'09),
Lecture Notes in Artificial Intelligence. Vol. 5866. Springer.
2009. pp. 432-442. ( Best Student Paper Award)
Huayang Xie, Mengjie Zhang. "Balancing Parent and Offspring
Selection in Genetic Programming". Proceedings of the 22nd
Australasian Joint Conference on Artificial Intelligence (AI'09),
Lecture Notes in Artificial Intelligence. Vol. 5866.
Springer. 2009. pp. 454-464.
Huayang Xie, Mengjie Zhang. "An Analysis and Evaluation of the
Saving Capability and Feasibility of Backward-chaining Evolutionary
Algorithms". Proceedings of the 4th Australian Conference on
Artificial Life (ACAL'09), Lecture Notes in Artificial
Intelligence. Vol. 5865. Springer. 2009. pp. 63-72.
Kourosh Neshatian, Mengjie Zhang. "Genetic Programming for
Feature Subset Ranking in Binary Classification
Problems". Proceedings of the 12th European Conference on Genetic
Programming (EuroGP 2009). Lecture Notes in Computer Science.Vol. 5481. Springer, 2009. Tübingen, Germany. pp.121-132.
Ammar Mohemmed, Mengjie Zhang and Mark Johnston. "A PSO Based
AdaBoost Approach to Object Detection". Proceedings of the
seventh International Conference on Simulated Evolution and Learning
(SEAL'08). Lecture Notes in Computer Science.Vol. 5361.
Springer. 2008. pp. 81-90.
David Kinzett, Mengjie Zhang and Mark Johnston. "Using Numerical
Simplification to Control Bloat in Genetic Programming."
Proceedings of the seventh International Conference on Simulated
Evolution and Learning (SEAL'08). Lecture Notes in Computer
Science.Vol. 5361. Springer. 2008. pp. 493-502.
Kourosh Neshatian, Mengjie Zhang and Peter Andreae. "Genetic
Programming for Feature Ranking in Classification Problems".
Proceedings of the seventh International Conference on Simulated
Evolution and Learning (SEAL'08). Lecture Notes in Computer
Science.Vol. 5361. Springer. 2008. pp. 544-554.
Barret Chin, Mengjie Zhang. "Object Detection using Neural
Networks and Genetic Programming". Proceedings of EvoIASP08,
Lecture Notes in Computer Science.Vol. 4974. Springer.
Naple, Italy. March 2008. pp 335-340.
Ammar W Mohemmed, Mengjie Zhang, Nirod Chandra Sahoo. "Cooperative
Particle Swarm Optimization for the Delay Constrained Least Cost Path
Problem". Proceedings of the Eighth European Conference on
Evolutionary Computation in Combinatorial Optimisation European
Conference on Genetic Programming, Lecture Notes in Computer
Science.Vol. 4972. Springer. Naple, Italy. March
2008. pp. 25-35.
Kourosh Neshatian, Mengjie Zhang. "Genetic Programming and
Class-wise Orthogonal Transformation for Dimension Reduction in
Classification Problems." Proceedings of the 11th European
Conference on Genetic Programming, Lecture Notes in Computer
Science.Vol. 4971. Springer. Naple, Italy. March 2008.
pp. 242-253.
Mengjie Zhang. ``Genetic Programming Techniques for Multi-class
Object Recognition''. Genetic and Evolutionary Computation for
Image Processing and Analysis. Chapter 17. Hindawi
Press. 2007. pp. 349-370.
Mengjie Zhang. ``Genetic Algorithms and Neural Networks for Object
Detection''. Genetic and Evolutionary Computation for Image
Processing and Analysis. Chapter 20. Hindawi
Press. 2007. pp.415-440.
Kourosh Neshatian, Mengjie Zhang and Mark Johnston. "Feature
Construction and Dimension Reduction Using Genetic
Programming". Proceedings of the 20th Australian Joint Conference
on Artificial Intelligence, Lecture Notes in Artificial
Intelligence.Vol. 4830. Springer. Gold Coast,
Australia. December 2007. pp. 160-170.
Grant Patterson and Mengjie Zhang. "Fitness Functions in Genetic
Programming for Classification with Unbalanced Data". Proceedings
of the 20th Australian Joint Conference on Artificial Intelligence,
Lecture Notes in Artificial Intelligence.Vol. 4830.
Springer. Gold Coast, Australia. December 2007. pp.769-775.
Xiaoying Gao, Le Phong Bao Vuong, Mengjie Zhang. "Automatic Data
Record Detection in Web Pages". Proceedings of the Second
International Conference on Knowledge Science, Engineering and
Management, Lecture Notes in Computer Science. Vol. 4798.
Springer. Melbourne, Australia. November 2007. pp. 349-361
Will Smart, Peter Andreae, Mengjie Zhang. "Empirical Analysis of
GP Tree-Fragments". Lecture Notes in Computer Science (EuroGP
2007). Vol. 4445, Springer. pp. 55-67.( Nominated for
the Best Paper Award)
Mengjie Zhang, Christopher Fogelberg. "Genetic Programming for
Image Recognition: An LGP Approach". Lecture Notes in Computer
Science (IASP 2007). Vol. 4448, Springer. pp.340-350.
Mengjie Zhang, Xiaoying Gao, Weijun Lou. "GP for Object
Classification: Brood Size in Brood Recombination Crossover ".
Proceedings of the 19th Australian Joint Conference on Artificial
Intelligence, Lecture Notes in Computer Science,
Vol. 4304, Springer. 2006. pp.274-284.
Xiaoying Gao, Mengjie Zhang, Minh Duc Cao. "TreeWrapper: Automatic
Data Extraction based on Tree Representation ". Proceedings of
the 19th Australian Joint Conference on Artificial Intelligence,
Lecture Notes in Computer Science,
Vol. 4304, Springer. 2006. pp. 566-576.
Mengjie Zhang, Malcolm Lett. "Localisation Fitness in GP for
Object Detection". Lecture Notes in Computer Science,
Vol. 3907. Springer. 2006. pp.472-483.
Huayang Xie, Mengjie Zhang, Peter Andreae. "Population Clustering
in Genetic Programming ". Lecture Notes in Computer Science,
Vol. 3905. Springer. 2006. pp.190-201.
Huayang Xie, Mengjie Zhang, Peter Andreae. "Genetic Programming
for Automatic Stress Detection in Spoken English". Lecture Notes
in Computer Science,
Vol. 3907. Springer. 2006. pp.460-471.
Mengjie Zhang, Xiaoying Gao, Minh Duc Cao and Yuejin
Ma. "Modelling Citation Networks for Improving Scientific Paper
Classification Performance." Proceedings of the 9th Pacific Rim
International Conference on Artificial Intelligence. Lecture Notes in
Artificial Intelligence. Vol. 4099. Springer,
2006. pp. 413-422.
Mengjie Zhang, Xiaoying Gao, Weijun Lou, Dongping Qian.
"Investigation of Brood Size in GP with Brood Recombination Crossover
for Object Recognition" Lecture Notes in Artificial
Intelligence. Vol. 4099. Springer, 2006. pp. 923-928.
Mengjie Zhang, Phillip Wong, Dongping Qian. "Online Program
Simplification in Genetic Programming". Proceedings of the sixth
International Conference on Simulated Evolution and Learning, Lecture
Notes in Computer Science,Vol. 4247, Springer. 2006. pp.592-600.
Mengjie Zhang, Malcolm Lett. "Refining Fitness Function and
Optimising Training Data in GP for Object Detection". Proceedings
of the sixth International Conference on Simulated Evolution and
Learning, Lecture Notes in Computer Science,Vol. 4247.
Springer. 2006. pp.601-608. (Nominated for the Best Paper
Award)
Xiaoying Gao, Mengjie Zhang. "Information Extraction from a Whole
Web Site". Proceedings of The fourth International Conference on
Active Media Technology, Advances in Intelligent IT: Active Media
Technology 2006. Frontiers in Artificial Intelligence and
Applications.Vol. 138. IOS Press. pp. 52-57.
Mengjie Zhang. "Mining Small Objects in Large Images Using Neural
Networks". Book chapter of Foundation of Data Mining and Knowledge
Discovery. Studies in computational intelligence.Vol. 6. Springer, 2005. pp. 289-314.
Christopher Fogelberg, Mengjie Zhang. "Linear Genetic Programming
for Multi-class Object Classification". Lecture Notes in
Artificial Intelligence, Vol. 3809.
Springer. 2005. pp.369-379.
Will Smart, Mengjie Zhang. ``Using Genetic Programming for
Multiclass Classification by Simultaneously Solving Component Binary
Classification Problems''. Lecture Notes in Computer
Science, Vol. 3447. Springer. 2005. pp. 227-239.
Guang Chen, Mengjie Zhang. "Evolving While-Loop Structures in
Genetic Programming for Factorial and Ant Problems".
Lecture Notes in Artificial Intelligence, Vol. 3809.Springer. 2005. pp. 1079-1085.
Mengjie Zhang, et al. ``Program Simplification in Genetic Programming for
Object Classification''. Lecture Notes in Artificial
Intelligence. Vol. 3683.
Springer. 2005. pp. 988-997.
Huayang Xie. "Diversity Control in GP with ADF for
Regression Tasks". Lecture Notes in Artificial
Intelligence, Vol. 3809. Springer. 2005. pp.1253-1257.
Mengjie Zhang, Will Smart. ``Learning weights in GP using gradient
descent for object classification''. Lecture Notes in Computer
Science. Vol. 3449. Springer. 2005. pp. 417-427. (
Nominated for the Best Paper Award)
Minh Duc Cao, Xiaoying Gao. "Combining Contents and
Citations for Scientific Document Classification ".
Lecture Notes in Artificial Intelligence, Vol. 3809.
Springer. 2005. pp.143-152.
Will Smart, Mengjie Zhang. "Probability Based Genetic Programming
for Multiclass Object Classification". In Chengqi Zhang, Hans
W. Guesgen, Wai-Kiang Yeap (Eds.): PRICAI 2004: Trends in Artificial
Intelligence, Proceedings of the 8th Pacific Rim International
Conference on Artificial Intelligence. Lecture Notes in Computer
Science. Vol. 3157, Springer 2004. pp. 251-261.
Mengjie Zhang, Bunna Ny. "False Alarm Filter in Neural Networks
for Multiclass Object Detection". The Eighth Internatioanl
Conference on Knowledge Based Intelligent Information and Engineering
Systems -- Invited session of Machine and Computer Vision and Neural
Networks, Lecture Notes in Artificial Intelligence,
Vol. 3214, Springer, 2004. pp. 541-548.
Mengjie Zhang, Peter Andreae, Urvesh Bhowan. "A Two Phase Genetic
Programming Approach to Object Detection". The Eighth
Internatioanl Conference on Knowledge Based Intelligent Information
and Engineering Systems, Lecture Notes in Artificial Intelligence, Vol. 3215, Springer, 2004. pp. 224-231.
Mengjie Zhang, Will Smart. "Multiple Object Classification Using
Genetic Programming". Evolutionary Computation in Image Analysis
and Signal Processing. Lecture Notes in Computer Sceince,
Vol. 3005, 2004. pp. 367-376. ( Nominated for the Best Paper
Award)
Mengjie Zhang, Will Smart. "Genetic Programming with Gradient
Descent for Multiclass Object Classification". Proceedings of the
7th European Genetic Programming Conference, Lecture Notes in Computer
Science. Vol 3003. 2004. pp. 399-408.
Mengjie Zhang, Urvesh Bhowan, "Program Size and Pixel Statistics
in Genetic Programming for Object Detection". Evolutionary
Computation in Image Analysis and Signal Processing. Lecture Notes in
Computer Science. Vol. 3005, 2004. pp. 377-386.
Mengjie Zhang, Peter Andreae, Mark Pritchard, "Pixel Statistics
and False Alarm Area in Genetic Programming for Object Detection",
Proceeding of the European Conference on Genetic Programming for
Image Analysis and Signal Processing, Lecture Notes in Computer
Science, Vol. 2611, 2003, pp. 455-466.
Mengjie Zhang and Victor Ciesielski. Genetic Programming for
Multiple Class Object Detection. In Proceedings of the 12th
Australian Joint Conference on Artificial Intelligence (AI'99)
, published in Norman Foo (Ed.) Lecture Notes in Artificial
Intelligence (LNAI Vol. 1747) by Springer-Verlag Berlin
Heidelberg, pages 180-192. Sydney, Australia, 6-10 December
1999.
Mengjie Zhang and Victor Ciesielski.
Using Back Propagation
Algorithm and Genetic Algorithm to Train and Refine
Neural Networks for Object Detection.
In Proceedings of the 10th International
Conference on Database and Expert Systems
Applications (DEXA'99),
Lecture Notes in Computer Science, (LNCS Vol. 1677),
Springer-Verlag, pages 626-635.
Florence, Italy, August 30 - September 3, 1999.
Refereed Conference Papers
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang. "Learning Traffic Signal Control via Genetic Programming". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 9pp
Jiahong Wei, Bing Xue, Mengjie Zhang. "EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 9pp
Su Nguyen, Dhananjay Thiruvady, Yuan Sun, Mengjie Zhang. "Genetic-based Constraint Programming for Resource Constrained Job Scheduling". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 9pp
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang. "Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 9pp
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang. "Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 9pp
Kaan Demir, Bach Hoai Nguyen, Bing Xue, and Mengjie Zhang. "Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024 Companion) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 4pp
Shaolin Wang, Yi Mei, Mengjie Zhang. "A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024 Companion) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 4pp
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang. "Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024 Companion) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 4pp
Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang. "Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification". Proceedings of 2024 Genetic and Evolutionary Computation Conference (GECCO 2024 Companion) . ACM Press. Melbourne, Australia. 14-18 July, 2024. 4pp
Kaan Demir, Bach Hoai Nguyen, Jeremy Rooney, Bing Xue, and Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith Gordon, Daniel Killeen. "Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-based Feature Selection on Raman Spectroscopic Data". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. "Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang. "A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang. "Evolutionary Label Selection for Multi-label Classification". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Yuan Tian, Yi Mei, Mengjie Zhang. "Learning Heuristics via Genetic Programming for Multi-mode Resource-constrained Project Scheduling". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Junwei Pang, Yi Mei, Mengjie Zhang. "Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Mohamad Rimas, Qi Chen, Mengjie Zhang. "Feature Selection for GPSR based on Maximal Information Coefficient and Shapley Values". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Luyao Zhu, Fangfang Zhang, Ke Chen, Xiaodong Zhu, Mengjie Zhang. "Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. "Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang. "Genetic programming with multi-task feature selection for Alzheimer's disease diagnosis". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024). IEEE Press. Yokohama, Japan. June 2024. 8pp.
Hamish O'Keeffe, Bing Xue, Mengjie Zhang, Nicola Hawes and Cris Lovell-Smith. "Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels". Proceedings of 2023 the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ 2023). IEEE Press. Palmerston North, New Zealand, 28 -29 November, 2023. 6pp.
Ziyi Sun, Bing Xue, Mengjie Zhang and Jan Schindler. "An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery". Proceedings of 2023 the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ 2023). IEEE Press. Palmerston North, New Zealand, 28 -29 November, 2023. 6pp.
Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell and Mengjie Zhang. "A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images". Proceedings of 2023 the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ 2023). IEEE Press. Palmerston North, New Zealand, 28 -29 November, 2023. 6pp.
Junhong Zhao, Carl McMillan, Bing Xue, Ross Vennell and Mengjie Zhang. "Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming". Proceedings of 2023 the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ 2023). IEEE Press. Palmerston North, New Zealand, 28 -29 November, 2023. 6pp. (Best Paper Award)
David Knox, Bing Xue, Mengjie Zhang and Jeromy Cuff. "Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks". Proceedings of 2023 the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ 2023). IEEE Press. Palmerston North, New Zealand, 28 -29 November, 2023. 6pp.
Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell and Mengjie Zhang. "Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation". Proceedings of 2023 the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ 2023). IEEE Press. Palmerston North, New Zealand, 28 -29 November, 2023. 6pp.
Junhong Zhao, Bing Xue, Ross Vennell and Mengjie Zhang. "Large-Scale Mussel Farm Reconstruction with GPS Auxiliary". Proceedings of 2023 the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ 2023). IEEE Press. Palmerston North, New Zealand, 28 -29 November, 2023. 6pp.
Christian Raymand, Qi Chen, Bing Xue, and Mengjie Zhang. "Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning". Proceedings of 2023 Genetic and Evolutionary Computation Conference (GECCO 2023). ACM Press. Lisbon, Portugal. 15-19 July, 2023. pp. 1184-1193.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, and Mengjie Zhang. "A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression". Proceedings of 2023 Genetic and Evolutionary Computation Conference (GECCO 2023). ACM Press. Lisbon, Portugal. 15-19 July, 2023. pp. 1194-1202.
Gonglin Yuan, Bing Xue, and Mengjie Zhang. "An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification". Proceedings of 2023 Genetic and Evolutionary Computation Conference (GECCO 2023). ACM Press. Lisbon, Portugal. 15-19 July, 2023. pp. 615-623.
Qi Chen, Bing Xue, Wolfgang Banzhaf, and Mengjie Zhang. "Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling". Proceedings of 2023 Genetic and Evolutionary Computation Conference (GECCO 2023). ACM Press. Lisbon, Portugal. 15-19 July, 2023. pp. 420-428.
Kaan Demir, Bach Nguyen, Bing Xue, and Mengjie Zhang. "Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO". Proceedings of 2023 Genetic and Evolutionary Computation Conference (GECCO 2023). ACM Press. Lisbon, Portugal. 15-19 July, 2023. pp. 438-446.
Zhixing Huang, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Grammar-guided linear genetic programming for dynamic job shop scheduling". Proceedings of the 2023 ACM Genetic and Evolutionary Computation Conference (GECCO 2023). Lisbon, Portugual. ACM Press. July 2023. pp. 1137--1145. (GP Track Best Paper Award)
Joao Costa, Yi Mei, and Mengjie Zhang. "Learning to select initialisation heuristic for vehicle routing problems". Proceedings of the 2023 ACM Genetic and Evolutionary Computation Conference (GECCO 2023). Lisbon, Portugual. ACM Press. July 2023. pages 266--274.
Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, and Jessica Signal. "Learning emergency medical dispatch policies via genetic programming". Proceedings of the 2023 ACM Genetic and Evolutionary Computation Conference (GECCO 2023). Lisbon, Portugual. ACM Press. July 2023. pages 1409--1417.
Luyao Zhu, Fangfang Zhang, Ke Chen, Xiaodong Zhu, and Mengjie Zhang. "Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling". Proceedings of the 2023 ACM Genetic and Evolutionary Computation Conference (GECCO 2023). Lisbon, Portugual. ACM Press. July 2023. pp. 384-392.
Fangfang Zhang, Yi Mei, and Mengjie Zhang. "An investigation of terminal settings on multitask multi-objective dynamic flexible job shop scheduling with genetic programming". Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO 2023 Companion). Lisbon, Portugual. ACM Press. July 2023. pages 259--262.
Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Multi-objective genetic programming based on decomposition on evolving scheduling heuristics for dynamic scheduling". Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO 2023 Companion). Lisbon, Portugual. ACM Press. July 2023. pages 427--430.
Junhao Huang, Bing Xue, Yanan Sun, and Mengjie Zhang. "Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation". Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO 2023 Companion). Lisbon, Portugual. ACM Press. July 2023. pp. 655-658.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. "A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection". Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO 2023 Companion). Lisbon, Portugual. ACM Press. July 2023. pp.707-710.
Bing Xue, and Mengjie Zhang. "Evolutionary computation for feature selection and feature construction". Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO 2023 Companion). Lisbon, Portugual. ACM Press. July 2023. pp.1129-1156.
Mengjie Zhang, Stefano Cagnoni. "Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition". Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO 2023 Companion). Lisbon, Portugual. ACM Press. July 2023. pp. 1533-1561.
Fangfang Zhang, Gaofeng Shi, and Yi Mei. "Interpretability-aware multi-objective genetic programming for scheduling heuristics learning in dynamic flexible job shop scheduling". Proceedings of the 2023 IEEE Congress on Evolutionary Computation (CEC 2023). IEEE, jul 2023.
David Knox, Bing Xue, Mengjie Zhang. "Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection". Proceedings of 2023 International Neural Network Society Workshop on Deep Learning Innovations and Applications ({INNS} DLIA@IJCNN 2023). Gold Coast, Australia, 23 June 2023. pp. 636-645.
Shaolin Wang, Yi Mei, Mengjie Zhang. "Local Ranking Explanation
for Genetic Programming Evolved Routing Policies for Uncertain
Capacitated Arc Routing Problems". Proceedings of 2022 Genetic and
Evolutionary Computation Conference (GECCO 2022). Boston,
USA. 9-13 July 2022. pp. 314-322
Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang. "Graph-based
Linear Genetic Programming: A Case Study of Dynamic
Scheduling". Proceedings of 2022 Genetic and Evolutionary
Computation Conference (GECCO 2022). Boston, USA. 9-13 July 2022. pp. 955-963
Joao Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang. "Guided
Local Search with an Adaptive Neighbourhood Size Heuristic for Large
Scale Vehicle Routing Problems". Proceedings of 2022 Genetic and
Evolutionary Computation Conference (GECCO 2022). Boston,
USA. 9-13 July 2022. pp. 213-221
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang. "Multi-task
Optimisation for Multi-objective Feature Selection in
Classification". Proceedings of 2022 Genetic and Evolutionary
Computation Conference Companion (GECCO 2022 Companion). Boston,
USA. 9-13 July 2022. pp. 264-267
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang. "Genetic
Programming with Diverse Partner Selection for Dynamic Flexible Job
Shop Scheduling". Proceedings of 2022 Genetic and Evolutionary
Computation Conference Companion (GECCO 2022 Companion). Boston,
USA. 9-13 July 2022. pp. 615-618
Kaan Demir, Bach Hoai Nguyen, Bing Zhang. "Particle Swarm
Optimisation for Sparsity-based Feature Selection in Multi-label
Classification". Proceedings of 2022 Genetic and Evolutionary
Computation Conference Companion (GECCO 2022 Companion). Boston,
USA. 9-13 July 2022. pp. 232-235
Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang.
"Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching". Proceedings of 2022 IEEE Congress on Evolutionary Computation (CEC 2022). 2022. 8pp. DOI: 10.1109/CEC55065.2022.9870323
Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. Proceedings of 2022 IEEE Congress on Evolutionary Computation (CEC 2022). 2022. 8pp. DOI: 10.1109/CEC55065.2022.9870322
Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling. Proceedings of 2022 IEEE Congress on Evolutionary Computation (CEC 2022). 2022. 8pp. DOI: 10.1109/CEC55065.2022.9870431
Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. Proceedings of 2022 IEEE Congress on Evolutionary Computation (CEC 2022). 2022. 8pp. DOI: 10.1109/CEC55065.2022.9870340
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. Proceedings of 2022 IEEE Congress on Evolutionary Computation (CEC 2022). 2022. 8pp. DOI: 10.1109/CEC55065.2022.9870243
Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang:
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. Proceedings of the 20th International ConferenceService-Oriented Computing (ICSOC 2022), Seville, Spain, November 29 - December 2, 2022. pp. 433-448
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang. "A Novel Multi-Task
Genetic Programming Approach to Uncertain Capacitated Arc Routing
Problem". Proceedings of 2021 Genetic and Evolutionary
Computation Conference (GECCO 2021). Lille, France. 10-14 July
2021. pp. 759-767. https://doi.org/10.1145/3449639.3459322.
Shaolin Wang, Yi Mei, Mengjie Zhang. "A Two-Stage Multi-Objective
Genetic Programming with Archive for Uncertain Capacitated Arc Routing
Problem". Proceedings of 2021 Genetic and Evolutionary
Computation Conference (GECCO 2021). Lille, France. 10-14 July
2021. pp. 287-295. https://doi.org/10.1145/3449639.3459298
Webin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "Genetic
Programming for Borderline Instance Detection in High-dimensional
Unbalanced Classification". Proceedings of 2021 Genetic and
Evolutionary Computation Conference (GECCO 2021). Lille,
France. 10-14 July 2021. pp. 349-357.
https://doi.org/10.1145/3449639.3459284
Bin Wang, Bing Xue, Mengjie Zhang. "An Efficient Evolutionary Deep
Learning Framework Based on Multi-source Transfer Learning to Evolve
Deep Convolutional Neural Networks". Proceedings of 2021 Genetic
and Evolutionary Computation Conference (GECCO 2021). Lille,
France. 10-14 July 2021. pp. 287-288.
https://doi.org/10.1145/3449726.3459455
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang. "Evolving Local
Interpretable Model-agnostic Explanations for Deep Neural Networks
in Image Classification". Proceedings of 2021 Genetic and
Evolutionary Computation Conference (GECCO 2021). Lille,
France. 10-14 July
2021. 173-174. https://doi.org/10.1145/3449726.3459452.
Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie
Zhang. "Sparsity-based Evolutionary Multi-objective Feature
Selection for Multi-label Classification" Proceedings of 2021
Genetic and Evolutionary Computation Conference Companion (GECCO
2021). Lille, France. 10-14 July 2021. pp. 147-148.
https://doi.org/10.1145/3449726.3459467
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang.
"Multi-objective Genetic Programming for Symbolic Regression with
the Adaptive Weighted Splines Representation". Proceedings of
2021 Genetic and Evolutionary Computation Conference Companion
(GECCO 2021). Lille, France. 10-14 July 2021. pp. 165-166.
https://doi.org/10.1145/3449726.3459461)
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang. "Genetic
Programming with A New Representation and A New Mutation Operator
for Image Classification". Proceedings of 2021 Genetic and
Evolutionary Computation Conference (GECCO 2021). Lille,
France. 10-14 July 2021. pp. 249-250.
https://doi.org/10.1145/3449726.3459468
Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang. "Automatically
Extracting Features Using Genetic Programming for Low-Quality Fish
Image Classification". Proceedings of 2021 IEEE Congress on
Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01
July 2021. 8pp. DOI: 10.1109/CEC45853.2021.9504737.
Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang. "Budget and SLA
Aware Dynamic Workflow Scheduling in Cloud Computing with
Heterogeneous Resources". Proceedings of 2021 IEEE Congress on
Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01
July 2021. 8pp. DOI: 10.1109/CEC45853.2021.9504709.
Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang. "Genetic
Programming with Archive for Dynamic Flexible Job Shop
Scheduling". Proceedings of 2021 IEEE Congress on Evolutionary
Computation (CEC 2021). Krasow, Poland. 28 June - 01 July
2021. DOI: 10.1109/CEC45853.2021.9504752.
Joao Costa, Yi Mei, Mengjie Zhang. "An Evolutionary
Hyper-Heuristic Approach to the Large Scale Vehicle Routing
Problem". Proceedings of 2021 IEEE Congress on Evolutionary
Computation (CEC 2021). Krasow, Poland. 28 June - 01 July
2021. DOI: 10.1109/CEC45853.2021.9504818.
Demelza Robinson, Qi Chen, Bing Xue, Michael Price, Paul Hume, Kai
Chen, Justin Hodgkiss, and Mengjie Zhang. "Particle Swarm
Optimisation for Analysing Time-Dependent Photoluminescence
Data". Proceedings of 2021 IEEE Congress on Evolutionary
Computation (CEC 2021). Krasow, Poland. 28 June - 01 July
2021. DOI: 10.1109/CEC45853.2021.9504908.
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang. "GP with a
Hybrid Tree-vector Representation for Instance Selection and Symbolic
Regression on Incomplete Data". Proceedings of 2021 IEEE Congress
on Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June -
01 July 2021. DOI: 10.1109/CEC45853.2021.9504767.
Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang. "Genetic
Programming for Symbolic Regression: A Study on Fish Weight
Prediction". Proceedings of 2021 IEEE Congress on Evolutionary
Computation (CEC 2021). Krasow, Poland. 28 June - 01 July
2021. DOI: 10.1109/CEC45853.2021.9504963.
An-Da Li, Bing Xue, Mengjie Zhang. "A Forward Search Inspired
Particle Swarm Optimization Algorithm for Feature Selection in
Classification". Proceedings of 2021 IEEE Congress on
Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01
July 2021. DOI: 10.1109/CEC45853.2021.9504949.
Kaan Demir, Bach Nguyen, Bing Xue, Mengjie Zhang. "Multi-objective
Multi-label Feature Selection with an Aggregated Performance Metric
and Dominance-based Initialisation". Proceedings of 2021 IEEE
Congress on Evolutionary Computation (CEC 2021). Krasow,
Poland. 28 June - 01 July 2021. DOI: 10.1109/CEC45853.2021.9504960.
Arka Ghosh, Bing Xue, Mengjie Zhang. "Binary Differential Evolution
based Feature Selection Method with Mutual Information for Imbalanced
Classification Problems". Proceedings of 2021 IEEE Congress on
Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01
July 2021. DOI: 10.1109/CEC45853.2021.9504882
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. "A Grid-dominance
based Multi-objective Algorithmfor Feature Selection in
Classification". Proceedings of 2021 IEEE Congress on
Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01
July 2021. DOI: 10.1109/CEC45853.2021.9504832.
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang. "A Flexible
Variable-length Particle Swarm Optimization Approach to Convolutional
Neural Network Architecture Design". Proceedings of 2021 IEEE
Congress on Evolutionary Computation (CEC 2021). Krasow,
Poland. 28 June - 01 July 2021. DOI: 10.1109/CEC45853.2021.9504716.
Atiya Masood, Gang Chen, Mengjie Zhang. "Feature Selection for
Evolving Many-Objective Job Shop Scheduling Dispatching Rules with
Genetic Programming". Proceedings of 2021 IEEE Congress on
Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01
July 2021. DOI: 10.1109/CEC45853.2021.9504895.
Shaolin Wang, Yi Mei, Mengjie Zhang. "A Multi-Objective Genetic
Programming Approach with Self-Adaptive Alpha Dominance to Uncertain
Capacitated Arc Routing Problem". Proceedings of 2021 IEEE
Congress on Evolutionary Computation (CEC 2021). Krasow,
Poland. 28 June - 01 July 2021. DOI: 10.1109/CEC45853.2021.9504956.
Mazhar Ansariardeh, Yi Mei, Mengjie Zhang. "Surrogate-Assisted
Genetic Programming with Diverse Transfer for the Uncertain
Capacitated Arc Routing Problem". Proceedings of 2021 IEEE
Congress on Evolutionary Computation (CEC 2021). Krasow,
Poland. 28 June - 01 July 2021. DOI:
10.1109/CEC45853.2021.9504817.
Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara
Fraser-Miller, Keith Gordon, Mengjie Zhang. "Genetic Algorithm for
Feature and Latent Variable Selection for Nutrient Assessment in
Horticultural Products". Proceedings of 2021 IEEE Congress on
Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01
July 2021. DOI: 10.1109/CEC45853.2021.9504794.
Trung Nguyen, Will Neil Browne, Mengjie Zhang. "Constructing
Complexity-efficient Features in XCS with Tree-based Rule
Conditions". Proceedings of 2021 IEEE Congress on Evolutionary
Computation (CEC 2021). Krasow, Poland. 28 June - 01 July
2021. DOI: 10.1109/CEC45853.2021.9504784.
Ranju Mandal, Basim Azam, Brijesh Verma, Mengjie Zhang. "Deep
Learning Model with GA-based Visual Feature Selection and Context
Integration". Proceedings of 2021 IEEE Congress on Evolutionary
Computation (CEC 2021). Krasow, Poland. 28 June - 01 July
2021. DOI: 10.1109/CEC45853.2021.9504753.
Joao Costa, Yi Mei, Mengjie Zhang. "Learning Initialisation
Heuristic for Large Scale Vehicle Routing Problem with Genetic
Programming". Proceedings of 2021 IEEE Congress on Evolutionary
Computation (CEC 2021). Krasow, Poland. 28 June - 01 July
2021. DOI: 10.1109/CEC45853.2021.9504938.
Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon
Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang. "Deep
Convolutional Neural Networks for Detecting Dolphin Echolocation
Clicks". Proceedings of 36th International Conference on Image and
Vision Computing New Zealand (IVCNZ 2021). Tauranga, New
Zealand. 9-10 Dec. 2021. DOI: 10.1109/IVCNZ54163.2021.9653250.
Yunhan Yang, Bing Xue, Linley Jesson, Matthew Wylie, Mengjie
Zhang, Maren Wellenreuther. "Deep Convolutional Neural Networks for
Fish Weight Prediction from Images". Proceedings of 36th
International Conference on Image and Vision Computing New Zealand
(IVCNZ 2021). Tauranga, New Zealand. 9-10 Dec. 2021. DOI: DOI:
10.1109/IVCNZ54163.2021.9653412.
Shaolin Wang, Yi Mei, Mengjie Zhang. "An Improved Multi-Objective
Genetic Programming Hyper-Heuristic with Archive for Uncertain
Capacitated Arc Routing Problem". Proceedings of the 2021 IEEE
Symposium Series on Computational Intelligence (IEEE SSCI
2021). Orlando, Florida, USA. 5-7 December 2021. 8pp. DOI:
10.1109/SSCI50451.2021.9660154.
Zhixing Huang, Yi Mei, Mengjie Zhang. "Investigation of Linear
Genetic Programming for Dynamic Job Shop
Scheduling". Proceedings of the 2021 IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2021). Orlando, Florida,
USA. 5-7 December 2021. 8pp. DOI:
10.1109/SSCI50451.2021.9660091.
Fergus Currie, Yi Mei, Mengjie Zhang, Maren Wellenreuther, Linley
Jesson. "An Investigation on Multi-Objective Fish Breeding Program
Design". Proceedings of the 2021 IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2021). Orlando, Florida,
USA. 5-7 December 2021. 8pp. DOI: 10.1109/SSCI50451.2021.9659936.
Alistair John McLeay;Abigail McGhie;Dana Briscoe;Ying Bi;Bing
Xue;Ross Vennell;Mengjie Zhang. "Deep Convolutional Neural Networks
with Transfer Learning for Waterline Detection in Mussel
Farms". Proceedings of the 2021 IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2021). Orlando, Florida,
USA. 5-7 December 2021. 8pp. DOI: 10.1109/SSCI50451.2021.9659987.
Gonglin Yuan, Bing Xue, Mengjie Zhang. "A Graph-Based Approach to
Automatic Convolutional Neural Network Construction for Image
Classification". Proceedings of 36th International Conference on
Image and Vision Computing New Zealand (IVCNZ 2020). Wellington,
New Zealand. 25-27 November 2021. DOI:
10.1109/IVCNZ51579.2020.9290492. .
Inti Mateus Resende Albuquerque;Bach Hoai Nguyen;Bing Xue;Mengjie
Zhang. "A Novel Genetic Algorithm Approach to Simultaneous Feature
Selection and Instance Selection". Proceedings of the 2020 IEEE
Symposium Series on Computational Intelligence (IEEE SSCI
2020). Canberra, Australia. 1-4 December 2020. 8pp. DOI:
10.1109/SSCI47803.2020.9308398.
Shaolin Wang;Yi Mei;Mengjie Zhang. "Towards Interpretable Routing
Policy: A Two Stage Multi-Objective Genetic Programming Approach with
Feature Selection for Uncertain Capacitated Arc Routing
Problem". Proceedings of the 2020 IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2020). Canberra,
Australia. 1-4 December 2020. 8pp. DOI:
10.1109/SSCI47803.2020.9308588.
Baligh Al-Helali;Qi Chen;Bing Xue;Mengjie Zhang. "GP-based Feature
Selection and Weighted KNN-based Instance Selection for Symbolic
Regression with Incomplete Data". Proceedings of the 2020 IEEE
Symposium Series on Computational Intelligence (IEEE SSCI
2020). Canberra, Australia. 1-4 December 2020. 8pp. DOI:
10.1109/SSCI47803.2020.9308382.
Joao Guilherme Cavalcanti Costa;Yi Mei;Mengjie Zhang. "Adaptive
Search Space through Evolutionary Hyper-Heuristics for the Large-Scale
Vehicle Routing Problem". Proceedings of the 2020 IEEE Symposium
Series on Computational Intelligence (IEEE SSCI 2020). Canberra,
Australia. 1-4 December 2020. 8pp. DOI: 10.1109/SSCI47803.2020.9308239.
Abigail McGhie;Bing Xue;Mengjie Zhang. "GPCNN: Evolving
Convolutional Neural Networks using Genetic
Programming". Proceedings of the 2020 IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2020). Canberra,
Australia. 1-4 December 2020. 8pp. DOI:
10.1109/SSCI47803.2020.9308390.
Baligh Al-Helali;Qi Chen;Bing Xue;Mengjie Zhang. "Data Imputation
for Symbolic Regression with Missing Values: A Comparative
Study". Proceedings of the 2020 IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2020). Canberra,
Australia. 1-4 December 2020. 8pp. DOI:
10.1109/SSCI47803.2020.9308216.
Mazhar Ansari Ardeh;Yi Mei;Mengjie Zhang. "A GPHH with
Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc
Routing Problem". Proceedings of the 2020 IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2020). Canberra,
Australia. 1-4 December 2020. 8pp. DOI:
10.1109/SSCI47803.2020.9308398.
Trung Nguyen, Will Neil Browne, Mengjie Zhang. "Relatedness
Measures to Aid the Transfer of Building Blocks among Multiple
Tasks". Proceedings of 2020 Genetic and Evolutionary Computation
Conference (GECCO 2020). Cancun, Mexico. 8-12 July 2020.
pp. 377-385.
Qi Chen, Bing Xue, Mengjie Zhang. "Improving Symbolic
Regression based on Correlation Between Residuals and
Variables". Proceedings of 2020 Genetic and Evolutionary
Computation Conference (GECCO 2020). Cancun, Mexico. 8-12 July
2020. pp. 922-930.
Qurrat Ul Ain, Harith Al-sahaf, Bing Xue, Mengjie Zhang. "A
Genetic Programming Approach to Feature Construction for Ensemble
Learning in Skin Cancer Detection". Proceedings of 2020 Genetic
and Evolutionary Computation Conference (GECCO 2020). Cancun,
Mexico. 8-12 July 2020. pp. 1186-1194.
Ya-Hui Jia, Yi Mei, Mengjie Zhang. "A Memetic Level-based Learning
Swarm Optimizer for Large-scale Water Distribution Network
Optimization". Proceedings of 2020 Genetic and Evolutionary
Computation Conference (GECCO 2020). Cancun, Mexico. 8-12 July
2020. pp. 1107-1115.
Hang Xu, Bing Xue, Mengjie Zhang. "Segmented Initialization and
Offspring Modification in Evolutionary Algorithms for Bi-objective
Feature Selection". Proceedings of 2020 Genetic and Evolutionary
Computation Conference (GECCO 2020). Cancun, Mexico. 8-12 July
2020. pp. 444-452.
Christian Raymand, Qi Chen, Bing Xue, Mengjie Zhang. "Adaptive
Weighted Splines - A New Representation to Genetic Programming for
Symbolic Regression". Proceedings of 2020 Genetic and
Evolutionary Computation Conference (GECCO 2020). Cancun,
Mexico. 8-12 July 2020. pp. 1003-1011.
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang. "Multi-Tree
Genetic Programming for Feature Construction-Based Domain Adaptation
in Symbolic Regression with Incomplete Data". Proceedings of
2020 Genetic and Evolutionary Computation Conference (GECCO
2020). Cancun, Mexico. 8-12 July 2020. pp. 913-921.
Benjamin Patrick Evans, Bing Xue, Mengjie Zhang. "Improving
generalisation of AutoML systems with dynamic fitness
evaluations". Proceedings of 2020 Genetic and Evolutionary
Computation Conference (GECCO 2020). Cancun, Mexico. 8-12 July
2020. pp. 324-332.
Damien O'Neill, Bing Xue, Mengjie Zhang. "Neural
Architecture Search for Sparse DenseNets with Dynamic
Compression". Proceedings of 2020 Genetic and Evolutionary
Computation Conference (GECCO 2020). Cancun, Mexico. 8-12 July
2020. pp. 386-394.
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang. "A Preliminary
Approach to Evolutionary Multitasking for Dynamic Flexible Job Shop
Scheduling via Genetic Programming". Proceedings of 2020 Genetic
and Evolutionary Computation Conference (GECCO 2020
Companion). Cancun, Mexico. 8-12 July 2020. pp. 107-108.
Hayden Andersen, Xiaoying Gao, Bing Xue, Mengjie Zhang. "Evolving
Network Structures for Text Classification using Genetic
Algorithm". Proceedings of 2020 Genetic and Evolutionary
Computation Conference (GECCO 2020 Companion). Cancun,
Mexico. 8-12 July 2020. pp. 109-110.
Wenbin Pei. Bing Xue, Lin SHang, Mengjie Zhang. "A Genetic
Programming Method for Classifier Construction and Cost Learning in
High-dimensional Unbalanced Classification". Proceedings of 2020
Genetic and Evolutionary Computation Conference (GECCO 2020
Companion). Cancun, Mexico. 8-12 July 2020. pp. 149-150.
Ying Bi, Bing Xue, Mengjie Zhang. "Automatically Extracting
Features for face classification using multi-objective genetic
programming". Proceedings of 2020 Genetic and Evolutionary
Computation Conference (GECCO 2020 Companion). Cancun,
Mexico. 8-12 July 2020. pp. 117-118.
Yuqiao Liu, Yanan Sun, Bing Xue and Mengjie Zhang. "Evolving Deep
Convolutional Neural Networks for Hyperspectral Image
Denoising". Proceedings of 2020 International Joint Conference on
Neural Networks (IJCNN 2020). Glasgow, UK. 19-24 July 2020. DOI:
10.1109/IJCNN48605.2020.9207509.
Yiming Peng, Chen Gang and Zhang Mengjie. "Effective Linear Policy
Gradient Search through Primal-Dual Approximation". Proceedings
of 2020 International Joint Conference on Neural Networks (IJCNN
2020). Glasgow, UK. 19-24 July 2020. 8pp. DOI:
10.1109/IJCNN48605.2020.9206831.
Mazhar Ansari Ardeh, Yi Mei and Zhang Mengjie. "Genetic
Programming Hyper-Heuristics with Probabilistic Prototype Tree
Knowledge Transfer for Uncertain Capacitated Arc Routing
Problems". Proceedings of 2020 IEEE Congression on Evolutionary
Computation (CEC 2020). Glasgow, UK. 19-24 July 2020. 8pp. DOI:
10.1109/CEC48606.2020.9185714.
Ying Bi, Bing Xue and Mengjie Zhang. "Genetic Programming-Based
Feature Learning for Facial Expression
Classification". Proceedings of 2020 IEEE Congression on
Evolutionary Computation (CEC 2020). Glasgow, UK. 19-24 July
2020. 8pp. DOI: 10.1109/CEC48606.2020.9185491
Bin Wang, Bing Xue and Mengjie Zhang. "Particle Swarm Optimisation
for Evolving Deep Neural Networks for Image Classification by Evolving
and Stacking Transferable Blocks". Proceedings of 2020 IEEE
Congression on Evolutionary Computation (CEC 2020). Glasgow,
UK. 19-24 July 2020. 8pp. DOI: 10.1109/CEC48606.2020.9185541
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Multi-Tree
Genetic Programming-based Transformation for Transfer Learning in
Symbolic Regression with Highly Incomplete Data". Proceedings of
2020 IEEE Congression on Evolutionary Computation (CEC 2020).
Glasgow, UK. 19-24 July 2020. 8pp. DOI: 10.1109/CEC48606.2020.9185670
Ke Chen, Bing Xue, Mengjie Zhang and Fengyu Zhou. "Hybridising
Particle Swarm Optimisation with Differential Evolution for Feature
Selection in Classification". Proceedings of 2020 IEEE
Congression on Evolutionary Computation (CEC 2020). Glasgow,
UK. 19-24 July 2020. 8pp. DOI: 10.1109/CEC48606.2020.9185533
Benjamin Patrick Evans, Bing Xue and Mengjie Zhang. "An Adaptive
and Near Parameter-free Evolutionary Computation Approach Towards True
Automation in AutoML". Proceedings of 2020 IEEE Congression on
Evolutionary Computation (CEC 2020). Glasgow, UK. 19-24 July
2020. 8pp. DOI: 10.1109/CEC48606.2020.9185770.
Shaolin Wang, Yi Mei and Mengjie Zhang. "A Multi-Objective Genetic
Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc
Routing Problems". Proceedings of 2020 IEEE Congression on
Evolutionary Computation (CEC 2020). Glasgow, UK. 19-24 July
2020. 8pp. DOI: 10.1109/CEC48606.2020.9185890.
Wenbin Pei, Bing Xue, Lin Shang and Mengjie Zhang. "A
Threshold-free Classification Mechanism in Genetic Programming for
Unbalanced High-dimensional Classification". Proceedings of 2020
IEEE Congression on Evolutionary Computation (CEC 2020).
Glasgow, UK. 19-24 July 2020. 8pp. DOI: 10.1109/CEC48606.2020.9185503
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Genetic
Programming with Noise Sensitivity for Imputation Predictor Selection
in Symbolic Regression with Incomplete Data". Proceedings of 2020
IEEE Congression on Evolutionary Computation (CEC 2020).
Glasgow, UK. 19-24 July 2020. 8pp. DOI: 10.1109/CEC48606.2020.9185526.
Qinglan Fan, Bing Xue and Mengjie Zhang. "A Region Adaptive Image
Classification Approach Using Genetic Programming". Proceedings
of 2020 IEEE Congression on Evolutionary Computation (CEC 2020).
Glasgow, UK. 19-24 July 2020. 8pp. DOI: 10.1109/CEC48606.2020.9185908.
Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf and Mengjie
Zhang. "A Fitness-based Selection Method for Pareto Local Search for
Many-Objective Job Shop Scheduling". Proceedings of 2020 IEEE
Congression on Evolutionary Computation (CEC 2020). Glasgow,
UK. 19-24 July 2020. 8pp. DOI: 10.1109/CEC48606.2020.9185881
Kaan Demir, Bach Hoai Nguyen, Bing Xue and Mengjie Zhang. "A
Decomposition based Multi-objective Evolutionary Algorithm with
ReliefF based Local Search and Solution Repair Mechanism for Feature
Selection". Proceedings of 2020 IEEE Congression on Evolutionary
Computation (CEC 2020). Glasgow, UK. 19-24 July 2020. 8pp. DOI:
10.1109/CEC48606.2020.9185590.
Joao Guilherme Cavalcanti Costa, Yi Mei and Mengjie
Zhang. "Cluster-based Hyper-Heuristic for the Large-Scale Vehicle
Routing Problem". Proceedings of 2020 IEEE Congression on
Evolutionary Computation (CEC 2020). Glasgow, UK. 19-24 July
2020. 8pp. DOI: 10.1109/CEC48606.2020.9185831
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie
Zhang. "Genetic Programming for Multiple Feature Construction in Skin
Cancer Image Classification". Proceedings of the 34th
International Conference on Image and Vision Computing New Zealand
(IVCNZ 2019). IEEE Press. Dunedin, New Zealand. 2-4 December,
2019. 6pp. DOI: 10.1109/IVCNZ48456.2019.8961001.
Damien O'Neill, Bing Xue and Mengjie Zhang. "The Evolution of
Adjacency Matrices for Sparsity of Connection in
DenseNets". Proceedings of the 34th International Conference on
Image and Vision Computing New Zealand (IVCNZ 2019). IEEE
Press. Dunedin, New Zealand. 2-4 December, 2019. 6pp. DOI: 10.1109/IVCNZ48456.2019.8961027
Wenbin Pei, Bing Xue, Lin Shang and Mengjie Zhang. "A
Cost-sensitive Genetic Programming Approach for High-dimensional
Unbalanced Classification". Proceedings of the 2019 IEEE
Symposium Series on Computational Intelligence (IEEE SSCI
2019). IEEE Press. Xiamen, China. 6-9 December 2019. pp. 1770-1777.
Deepak Karunakaran, Yi Mei and Mengjie Zhang. "Multitasking
Genetic Programming for Stochastic Team Orienteering Problem with Time
Windows". Proceedings of the 2019 IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2019). IEEE Press. Xiamen,
China. 6-9 December 2019. pp. 1598-1605.
Shaolin Wang, Yi Mei, John Park and Mengjie Zhang. "Evolving
Ensembles of Routing Policies using Genetic Programming for Uncertain
Capacitated Arc Routing Problem". Proceedings of the 2019 IEEE
Symposium Series on Computational Intelligence (IEEE SSCI
2019). IEEE Press. Xiamen, China. 6-9 December 2019. pp. 1628-1635.
Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "A Genetic
Programming-based Wrapper Imputation Method for Symbolic Regression
with Incomplete Data". Proceedings of the 2019 IEEE Symposium
Series on Computational Intelligence (IEEE SSCI 2019). IEEE
Press. Xiamen, China. 6-9 December 2019. pp. 2395-2402.
Shaolin Wang, Yi Mei, John Park and Mengjie Zhang. "A Two-Stage
Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc
Routing Problem". Proceedings of the 2019 IEEE Symposium Series
on Computational Intelligence (IEEE SSCI 2019). IEEE
Press. Xiamen, China. 6-9 December 2019. pp. 1606-1613.
Mengjie Zhang, Stefano Cagnoni. "Evolutionary computation and
evolutionary deep learning for image analysis, signal processing and
pattern recognition". Proceedings of 2019 Genetic and Evolutionary
Computation Conference (GECCO 2019 Companion). Prague, Czech
Republic. 13-17 July 2019. pp. 1226-1251.
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang. "Evolving Deep
Neural Networks by Multi-objective Particle Swarm Optimization for
Image Classification". Proceedings of 2019 Genetic and
Evolutionary Computation Conference (GECCO 2019). Prague, Czech
Republic. 13-17 July 2019. pp. 490-498.
Ying Bi, Bing Xue, Mengjie Zhang. "An Automated Ensemble Learning
Framework Using Genetic Programming for Image
Classification". Proceedings of 2019 Genetic and Evolutionary
Computation Conference (GECCO 2019). Prague, Czech
Republic. 13-17 July 2019. pp. 365-373.
Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie
Zhang. "Population-based Ensemble Classifier Induction for Domain
Adaptation". Proceedings of 2019 Genetic and
Evolutionary Computation Conference (GECCO 2019). Prague, Czech
Republic. 13-17 July 2019. pp. 437-445.
Fangfang Zhang, Yi Mei, Mengjie Zhang. "A Two-stage Genetic
Programming Hyper-heuristic Approach with Feature Selection for
Dynamic Flexible Job Shop Scheduling". Proceedings of 2019 Genetic and
Evolutionary Computation Conference (GECCO 2019). Prague, Czech
Republic. 13-17 July 2019. pp. 347-355.
Ben Evans, Bing Xue, Mengjie Zhang. "What's inside the black box?
A genetic programming method for interpreting complex machine
learning models". Proceedings of
2019 Genetic and Evolutionary Computation Conference (GECCO
2019). Prague, Czech Republic. 13-17 July 2019. pp. 1012-1020.
Trung Nguyen, Will Bronwe, Mengjie Zhang. "Improvement of Code
Fragment Fitness to Guide Feature Construction in
XCS". Proceedings of 2019 Genetic and Evolutionary Computation
Conference (GECCO 2019). Prague, Czech Republic. 13-17 July
2019. pp. 428-436.
Shaolin Wang, Yi Mei, Mengjie Zhang. "Novel Ensemble Genetic
Programming Hyper-Heuristics for Uncertain Capacitated Arc Routing
Problem". Proceedings of 2019 Genetic and Evolutionary Computation
Conference (GECCO 2019). Prague, Czech Republic. 13-17 July
2019. pp. 1093-1101.
Binh Tran, Bing Xue, Mengjie Zhang. "Adaptive Multi-Subswarm
Optimisation for Feature Selection on High-Dimensional
Classification". Proceedings of 2019 Genetic and Evolutionary
Computation Conference (GECCO 2019). Prague, Czech
Republic. 13-17 July 2019. pp. 481-489.
Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang. "Transfer Learning
Based on Feature Weighting and Feature Contribution in Genetic
Programming Hyper-heuristic for Solving Uncertain Capacitated Arc
Routing Problem". Proceedings of 2019 Genetic and Evolutionary
Computation Conference (GECCO 2019 Companion). Prague, Czech
Republic. 13-17 July 2019. pp. 334-335.
Brandon Muller, Harith Al-Sahaf, Bing Xue, Mengjie
Zhang. "Building Block Selection in Transfer Learning for Genetic
Programming". Proceedings of 2019 Genetic and Evolutionary
Computation Conference (GECCO 2019 Companion). Prague, Czech
Republic. 13-17 July 2019. pp. 350-351.
Qi Chen, Bing Xue, Mengjie Zhang. "Differential Evolution for
Instance based Transfer Learning in Genetic Programming for Symbolic
Regression". Proceedings of 2019 Genetic and Evolutionary
Computation Conference (GECCO 2019 Companion). Prague, Czech
Republic. 13-17 July 2019. pp. 161-162.
Wenbin Pei, Bing Xue, Mengjie Zhang. "Reuse of Program Trees in
Genetic Programming with a New Fitness Function for High-Dimensional
Unbalanced Classification". Proceedings of 2019 Genetic and
Evolutionary Computation Conference (GECCO 2019
Companion). Prague, Czech Republic. 13-17 July 2019. pp. 187-188.
Shaolong Shi, Yifan Chen, Xin Yao and Mengjie Zhang. "Lightweight
Evolution Strategies for Nanoswimmers-oriented In Vivo
Computation". Proceedings of 2019 IEEE Congress on
Evolutionary Computation. Wellington, New Zealand. 10-13
June 2019. pp. 843-849.
Mazhar Ansari Ardeh, Mei Yi and Zhang Mengjie. "Transfer Learning
in Genetic Programming Hyper-heuristic for Solving Uncertain
Capacitated Arc Routing Problem". Proceedings of 2019 IEEE
Congress on Evolutionary Computation. Wellington, New
Zealand. 10-13 June 2019. pp. 49-58.
Fangfang Zhang, Yi Mei and Mengjie Zhang. "Evolving Dispatching
Rules for Multi-objective Dynamic Flexible Job Shop Scheduling
via Genetic Programming Hyper-heuristics".Proceedings of
2019 IEEE Congress on Evolutionary Computation. Wellington,
New Zealand. 10-13 June 2019. pp. 1343-1350.
Fangfang Zhang, Yi Mei and Mengjie Zhang. "Can Stochastic
Dispatching Rules Evolved by Genetic Programming
Hyper-heuristics Help in Dynamic Flexible Job Shop
Scheduling?". Proceedings of 2019 IEEE Congress on
Evolutionary Computation. Wellington, New Zealand. 10-13
June 2019. pp. 41-48.
Qi Chen, Mengjie Zhang and Bing Xue. "Instance based Transfer
Learning for Genetic Programming for Symbolic
Regression". Proceedings of 2019 IEEE Congress on
Evolutionary Computation. Wellington, New Zealand. 10-13
June 2019. pp. 3007-3014.
Deepak Karunkaran, Yi Mei, Gang Chen and Mengjie Zhang. "Active
Sampling for Dynamic Job Shop Scheduling using Genetic
Programming". Proceedings of 2019 IEEE Congress on
Evolutionary Computation. Wellington, New Zealand. 10-13
June 2019. pp. 426-435.
Ying Bi, Bing Xue and Mengjie Zhang. "An Evolutionary Deep
Learning Approach Using Genetic Programming with Convolution
Operators for Image Classification". Proceedings of 2019
IEEE Congress on Evolutionary Computation. Wellington, New
Zealand. 10-13 June 2019. pp. 3198-3205.
William Irwin-Harris, Yanan Sun, Bing Xue and Mengjie Zhang. "A
Graph-Based Encoding for Evolutionary Convolutional Neural Network
Architecture Design". Proceedings of 2019 IEEE Congress on
Evolutionary Computation. Wellington, New Zealand. 10-13 June
2019. pp.530-537.
Wenbin Pei, Bing Xue, Lin Shang and Mengjie Zhang. "New Fitness
Functions in Genetic Programming for Classification with
High-dimensional Unbalanced Data". Proceedings of 2019 IEEE
Congress on Evolutionary Computation. Wellington, New
Zealand. 10-13 June 2019. pp.2780-2787.
Trung Nguyen, Will Browne and Mengjie Zhang. "Online
Feature-Generation of Code Fragments for XCS to Guide Feature
Construction". Proceedings of 2019 IEEE Congress on Evolutionary
Computation. Wellington, New Zealand. 10-13 June 2019. pp. 3309-3316.
Wenlong Fu, Bing Xue, Xiaoying Gao and Mengjie Zhang. "Genetic
Programming based Transfer Learning for Document Classification with
Self-taught and Ensemble Learning". Proceedings of 2019 IEEE
Congress on Evolutionary Computation. Wellington, New
Zealand. 10-13 June 2019. pp.2261-2268.
Thomas Watts, Bing Xue and Mengjie Zhang. "Blocky Net: A New NeuroEvolution Method". Proceedings of 2019 IEEE Congress on Evolutionary
Computation. Wellington, New Zealand. 10-13 June 2019. pp. 570-577.
Christian Raymond, Qi Chen, Mengjie Zhang and Bing
Xue. "Genetic Programming with Rademacher Complexity for Symbolic
Regression". Proceedings of 2019 IEEE Congress on Evolutionary Computation. Wellington, New Zealand. 10-13 June 2019. 2658-2667.
Samaneh Azari, Bing Xue, Mengjie Zhang and Lifeng
Peng. "Learning to Rank Peptide-Spectrum Matches Using Genetic
Programming". Proceedings of 2019 IEEE Congress on Evolutionary Computation. Wellington, New Zealand. 10-13 June 2019. pp. 3245-3252.
Will Pearson, Cao Truong Tran, Mengjie Zhang and Bing
Xue. "Multi-Round Random Subspace Feature Selection for Incomplete
Gene Expression Data". Proceedings of 2019 IEEE Congress on
Evolutionary Computation. Wellington, New Zealand. 10-13 June
2019. pp. 2545-2552.
Qurrat Ul ain, Bing Xue, Harith Al-sahaf and Mengjie
Zhang. "Multi-tree Genetic Programming with a New Fitness Function for
Melanoma Detection". Proceedings of 2019 IEEE Congress on
Evolutionary Computation. Wellington, New Zealand. 10-13 June
2019. pp. 857-864.
Andrew Lensen, Bing Xue and Mengjie Zhang. "Automatically
Evolving Difficult Benchmark Feature Selection Datasets with Genetic
Programming". Proceedings of 2018 Genetic and Evolutionary
Computation Conference (GECCO 2018) . ACM Press. Kyoto, Japan,
15-19 July 2018. pp. 458-465.
Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang. "NEAT for
large-scale reinforcement learning through evolutionary feature
learning and policy gradient search". Proceedings of 2018 Genetic
and Evolutionary Computation Conference (GECCO 2018) . ACM
Press. Kyoto, Japan, 15-19 July 2018. pp. 490-497
Su Nguyen, Mengjie Zhang, Kay Chen Tan. "Adaptive charting genetic
programming for dynamic flexible job shop scheduling". Proceedings
of 2018 Genetic and Evolutionary Computation Conference (GECCO
2018) . ACM Press. Kyoto, Japan, 15-19 July 2018.
pp. 1159-1166.
Yi Mei, Mengjie Zhang. "Genetic programming hyper-heuristic for
multi-vehicle uncertain capacitated arc routing
problem". Proceedings of 2018 Genetic and Evolutionary Computation
Conference (GECCO 2018 Companion) . ACM Press. Kyoto, Japan,
15-19 July 2018. pp. 141-142
Daniel Yska, Yi Mei, Mengjie Zhang. "Feature construction in
genetic programming hyper-heuristic for dynamic flexible job shop
scheduling". Proceedings of 2018 Genetic and Evolutionary Computation
Conference (GECCO 2018 Companion) . ACM Press. Kyoto, Japan,
15-19 July 2018. pp. 149-150
Bing Xue, Mengjie Zhang. "Evolutionary computation for feature
selection and feature construction". Proceedings of 2018 Genetic
and Evolutionary Computation Conference (GECCO 2018
Companion) . ACM Press. Kyoto, Japan, 15-19 July 2018.
pp. 1198-1220
Mengjie Zhang, Stefano Cagnoni. "Evolutionary computation and
evolutionary deep learning for image analysis, signal processing and
pattern recognition". Proceedings of 2018 Genetic and Evolutionary
Computation Conference (GECCO 2018 Companion) . ACM Press. Kyoto,
Japan, 15-19 July 2018. pp. 1221-1257
Yanan Sun, Bing Xue, Mengjie Zhang, and Gary G. Yen. "An
Experimental Study on Hyper-parameter Optimization for Stacked
Auto-Encoders". Proceedings of 2018 IEEE Congress on
Evolutionary Computation. IEEE Press. Rio de Janeiro,
Brazil. 8-13 July 2018. pp. 638-645.
Benjamin Evans, Harith Al-Sahaf, Bing Xue and Mengjie
Zhang. "Evolutionary Deep Learning: A Genetic Programming Approach to
Image Classification". Proceedings of 2018 IEEE Congress on
Evolutionary Computation. IEEE Press. Rio de Janeiro,
Brazil. 8-13 July 2018. pp. 1538-1545.
Bin Wang, Yanan Sun, Bing Xue and Mengjie Zhang. "Evolving Deep
Convolutional Neural Networks by Variable-length Particle Swarm
Optimization for Image Classification". Proceedings of 2018 IEEE
Congress on Evolutionary Computation. IEEE Press. Rio de
Janeiro, Brazil. 8-13 July 2018. pp. 1514-1521.
Ying Bi, Mengjie Zhang and Bing Xue. "Genetic Programming for
Automatic Global and Local Feature Extraction to Image
Classification". Proceedings of 2018 IEEE Congress on Evolutionary
Computation. IEEE Press. Rio de Janeiro, Brazil. 8-13 July
2018. pp. 392-399. (Nominated for the Best Student Paper Award)
Xiu Cheng, Will Browne and Mengjie Zhang. "Decomposition based
Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective
Reinforcement Learning". Proceedings of 2018 IEEE Congress on
Evolutionary Computation. IEEE Press. Rio de Janeiro,
Brazil. 8-13 July 2018. pp. 622-629.
Yi Mei and Mengjie Zhang. "Genetic Programming Hyper-heuristic
for Stochastic Team Orienteering Problem with Time
Windows". Proceedings of 2018 IEEE Congress on Evolutionary
Computation. IEEE Press. Rio de Janeiro, Brazil. 8-13 July
2018. pp. 1754-1761.
Samaneh Azari, Mengjie Zhang, Bing Xue and Lifeng Peng. "Genetic
Programming for Preprocessing Tandem Mass Spectra to Improve the
Reliability of Peptide Identification". Proceedings of 2018 IEEE
Congress on Evolutionary Computation. IEEE Press. Rio de
Janeiro, Brazil. 8-13 July 2018. pp. 2028-2035.
Damien O'Neill, Andrew Lensen, Bing Xue and Mengjie
Zhang. "Particle Swarm Optimisation for Feature Selection and
Weighting in High-Dimensional Clustering". Proceedings of 2018
IEEE Congress on Evolutionary Computation. IEEE Press. Rio de
Janeiro, Brazil. 8-13 July 2018. pp. 173-180.
Gang Chen, Yiming Peng and Mengjie Zhang. "Constrained
Expectation-Maximization Methods for Effective Reinforcement
Learning". Proceedings of 2018 International Joint Conference on
Neural Networks . IEEE Press. Rio de Janeiro, Brazil. 8-13
July 2018. 8pp. (to appear)
Sam Fletcher, Brijesh Verma, Zohaib M Jan and Mengjie Zhang. "The
Optimized Selection of Base-Classifiers for Ensemble Classification
using a Multi-Objective Genetic Algorithm". Proceedings of 2018
International Joint Conference on Neural Networks . IEEE
Press. Rio de Janeiro, Brazil. 8-13 July 2018. 8pp. (to appear)
Ying Bi, Bing Xue, Mengjie Zhang. "An Automatic Region Detection
and Processing Approach in Genetic Programming for Binary Image
Classification". Proceedings of the 32nd International on Image
and Vision Computing New Zealand (IVCNZ 2017). Christchurch, New
Zealand. 4-6 Decemeber 2017. 6pp.
Shima Afzali Vahed Moghaddam, Bing Xue, Harith Al-Sahaf and
Mengjie Zhang. "A Supervised Feature Weighting Method for Salient
Object Detection using PSO". Proceedings of 2017 IEEE Symposium
Series on Computational Intelligence (SSCI 2017). IEEE
Press. 2017.
DOI: 10.1109/SSCI.2017.8280948 pp. 1-8
Emrah Hance Bing Xue and Mengjie Zhang. "A Differential
Evolution Based Feature Selection Approach Using an Improved Filter
Criterion". Proceedings of 2017 IEEE Symposium Series on
Computational Intelligence (SSCI 2017). IEEE
Press. 2017.
DOI: 10.1109/SSCI.2017.8285300 pp. 1-8.
Yu Xue, Jiongming Jiang, Bing Xue and Mengjie Zhang. "A
Classification Method based on Self-adaptive Artificial Bee
Colony". Proceedings of 2017 IEEE Symposium Series on
Computational Intelligence (SSCI 2017). IEEE
Press. 2017. DOI: 10.1109/SSCI.2017.8285232 pp. 1-8.
Deepak, Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang. "Toward
Evolving Dispatching Rules for Dynamic Job Shop Scheduling Under
Uncertainty". Proceedings of 2017 Genetic and Evolutionary
Computation Conference (GECCO 2017). Berlin,
Germnary. 15-19 July, 2017. pp. 282-289.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Genetic
Programming based Feature Construction for Classification with
Incomplete Data". Proceedings of 2017 Genetic and Evolutionary
Computation Conference (GECCO 2017). Berlin, Germnary. 15-19
July, 2017. pp. 1033-1040.
Alexandre Sawczuk da Silva, Yi Mei, Hui Ma and Mengjie
Zhang. "Fragment-based Genetic Programming for Fully Automated
Multi-Objective Web Service Composition". Proceedings of 2017
Genetic and Evolutionary Computation Conference (GECCO
2017). Berlin, Germnary. 15-19 July, 2017. pp. 353-360.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Multiple
Imputation and Genetic Programming for Classification with
Incomplete Data". Proceedings of 2017 Genetic and Evolutionary
Computation Conference (GECCO 2017). Berlin, Germnary. 15-19
July, 2017. pp. 521-528.
Yuxin Liu, Yi Mei, Mengjie Zhang. "Automated Heuristic Design
Using Genetic Programming Hyper-Heuristic for Uncertain Capacitated
Arc Routing Problem". Proceedings of 2017 Genetic and
Evolutionary Computation Conference (GECCO 2017). Berlin,
Germnary. 15-19 July, 2017. pp. 290-297.
Andrew Lensen, Bing Xue, Mengjie Zhang. "GPGC: Genetic
Programming for Automatic Clustering using a Flexible
Non-Hyper-Spherical Graph-Based Approach". Proceedings of 2017
Genetic and Evolutionary Computation Conference (GECCO
2017). Berlin, Germnary. 15-19 July, 2017. pp. 449-456.
Hoai Bach Nguyen, Bing Xue, Hisao Ichibushi, Mengjie
Zhang. "Multiple Reference Points MOEA/D for Feature
Selection". Proceedings of 2017 Genetic and Evolutionary
Computation Conference (GECCO 2017 Companion). Berlin,
Germnary. 15-19 July, 2017. pp. 157-158.
Yuyu Liang, Mengjie Zhang, Will Browne. "Learning figure-ground
image segmentors by genetic programming". Proceedings of 2017
Genetic and Evolutionary Computation Conference (GECCO 2017
Companion). Berlin, Germnary. 15-19 July, 2017. pp. 239-240.
Qi Chen, Bing Xue, Mengjie Zhang. "New Geometric Semantic
Operators in Genetic Programming: Perpendicular Crossover and Random
Segment Mutation". Proceedings of 2017 Genetic and Evolutionary
Computation Conference (GECCO 2017 Companion). Berlin,
Germnary. 15-19 July, 2017. pp. 223-224.
Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang. "Evolving State
Features for Actor-Critic Reinforcement Learning through
NEAT". Proceedings of 2017 Genetic and Evolutionary Computation
Conference (GECCO 2017 Companion). Berlin, Germnary. 15-19
July, 2017. pp. 135-136.
Harith Al-Sahaf, Bing Xue, Mengjie Zhang. "Evolving Texture Image
Descriptors Using A Multitree Genetic Programming
Representation". Proceedings of 2017 Genetic and Evolutionary
Computation Conference (GECCO 2017 Companion). Berlin,
Germnary. 15-19 July, 2017. pp. 219-220.
Andrew Lensen, Bing Xue, Mengjie Zhang. "Improving k-means
Clustering with Genetic Programming for Feature
Construction". Proceedings of 2017 Genetic and Evolutionary
Computation Conference (GECCO 2017 Companion). Berlin,
Germnary. 15-19 July, 2017. pp. 237-238.
Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf and Mengjie
Zhang. "Genetic Programming for Skin Cancer Detection In Dermoscopic
Images". Proceedings of 2017 IEEE Congress on Evolutionary
Computation. IEEE Press. San Sebastian, Spain. 5-9 June,
2017. pp. 2420-2427.
Su Nguyen and Mengjie Zhang. "A PSO-based Hyper-heuristic for
Evolving Dispatching Rules in Job Shop Scheduling". Proceedings
of 2017 IEEE Congress on Evolutionary Computation. IEEE
Press. San Sebastian, Spain. 5-9 June, 2017. pp. 882-889.
Josiah Jacobsen-Grocott, Yi Mei, Gang Chen and Mengjie Zhang.
"Evolving Heuristics for Dynamic Vehicle Routing with Time Windows
Using Genetic Programming". Proceedings of 2017 IEEE Congress on
Evolutionary Computation. IEEE Press. San Sebastian, Spain. 5-9
June, 2017. pp. 1948-1955.
Damien O'Neill, Harith Al-Sahaf, Bing Xue and Mengjie
Zhang. "Common Subtrees in Related Problems: A Novel Transfer
Learning Approach for Genetic Programming". Proceedings of
2017 IEEE Congress on Evolutionary Computation. IEEE
Press. San Sebastian, Spain. 5-9 June, 2017. pp. 1287-1294.
Tessa Phillips, Mengjie Zhang and Bing Xue. "Genetic Programming
for Solving Common and Domain-independent Generic Recursive
Problems". Proceedings of 2017 IEEE Congress on Evolutionary
Computation. IEEE Press. San Sebastian, Spain. 5-9 June,
2017. pp. 1279-1286.
Deepak Karunakaran, Yi Mei, Gang Chen and Mengjie Zhang. "Evolving
Dispatching Rules for Dynamic Job Shop Scheduling with Uncertain
Processing Times". Proceedings of 2017 IEEE Congress on
Evolutionary Computation. IEEE Press. San Sebastian,
Spain. 5-9 June, 2017. pp. 364-371.
Hoai Bach Nguyen, Bing Xue, Peter Andreae and Mengjie Zhang. "Particle
Swarm Optimisation with Genetic Operators for Feature
Selection". Proceedings of 2017 IEEE Congress on Evolutionary
Computation. IEEE Press. San Sebastian, Spain. 5-9 June,
2017. pp. 286-293.
Yiming Peng, Gang Chen, Mengjie Zhang and Shaoning Pang. "A
Sandpile Model for Reliable Actor-Critic Reinforcement
Learning". Proceedings of 2017 International Joint Conference on
Neural Networks (IJCNN 2017). IEEE Press. Anchorage, Alaska, USA,
14-19 May 2017. pp. 4014-4021.
Qi Chen, Mengjie Zhang and Bing Xue. "Genetic Programming with
Embedded Feature Construction for High-Dimensional Symbolic
Regression". Proceedings of the 20th Asia-Pacific Symposium on
Intelligent and Evolutionary Systems. Canberra, Australia,
November 16-18, 2016. pp. 87-102.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue and Lam
Thu Bui. "Multiple Imputation and Ensemble Learning for Classification
with Incomplete Data". Proceedings of the 20th Asia-Pacific
Symposium on Intelligent and Evolutionary Systems. Canberra,
Australia, November 16-18, 2016. pp. 401--415.
Yuyu Liang, Mengjie Zhang and Will Browne. "Feature Construction
using Genetic Programming for Figure-ground Image
Segmentation". Proceedings of the 20th Asia-Pacific Symposium on
Intelligent and Evolutionary Systems. Canberra, Australia,
November 16-18, 2016. pp. 237-250.
Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang, Sven
Hartmann. "Handling Branched Web Service Composition with a QoS-Aware
Graph-Based Method". Proceedings of International Conference on
Electronic Commerce and Web Technologies (EC-Web 2016). Porto,
Portugal, September 5-8, 2016. pp. 154-169.
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David
Balduzzi, Wei Li. "Deep Reconstruction-Classification Networks for
Unsupervised Domain Adaptation". Proceedings of the 14th European
Conference on Computer Vision (ECCV 2016)". Amsterdam, The
Netherlands. 11-14 Oct 2016. pp. 597-613.
Yi Mei, Bing Xue and Mengjie Zhang. "Fast Bi-Objective Feature
Selection Using Entropy Measures and Bayesian Inference".
Proceedings of 2016 Genetic and Evolutionary Computation Conference
(GECCO 2016). ACM Press. Dever, Colorado, USA. 20-24 July
2016. pp. 469-476.
Qi Chen, Mengjie Zhang, and Bing Xue. "Improving Generalisation of
Genetic Programming for Symbolic Regression with Structural Risk
Minimisation". Proceedings of 2016 Genetic and Evolutionary
Computation Conference (GECCO 2016). ACM Press. Dever, Colorado,
USA. 20-24 July 2016. pp. 709-716.
Isidro Alvarez, Will Browne and Mengjie Zhang. "Human-inspired
scaling in Learning Classifier Systems: Case study on the n-bit
Multiplexer Problem Set". Proceedings of 2016 Genetic and
Evolutionary Computation Conference (GECCO 2016). ACM
Press. Dever, Colorado, USA. 20-24 July 2016. pp. 429-436.
Alexandre S. da Silva, Hui Ma, Mengjie Zhang. "A Graph-based
QoS-Aware Method for Web Service Composition with Branching".
Proceedings of 2016 Genetic and Evolutionary Computation Conference
(GECCO Companion 2016). ACM Press. Dever, Colorado, USA. 20-24 July
2016. pp. 131-132.
Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing
Xue. "Directly Constructing Multiple Features for Classification with
Missing Data using Genetic Programming with Interval
Functions". Proceedings of 2016 Genetic and Evolutionary
Computation Conference (GECCO Companion 2016). ACM Press. Dever, Colorado,
USA. 20-24 July 2016. pp. 69-70.
Yi Mei, Mengjie Zhang, Su Nguyen, "Feature Selection in Evolving
Job Shop Dispatching Rules with Genetic Programming," Proceedings
of the 2016 Genetic and Evolutionary Computation Conference (GECCO
2016). ACM Press. Denver, USA, 2016. pp. 365-372.
John Park, Yi Mei, Su Nguyen, Aaron Chen, Mark Johnston, Mengjie
Zhang, "Niching Genetic Programming based Hyper-heuristic Approach to
Dynamic Job Shop Scheduling: An Investigation into Distance Metrics,"
Proceedings of the 2016 Genetic and Evolutionary Computation
Conference (GECCO Companion 2016) . ACM Press. Denver, USA, 2016.
pp. 109-110.
Mengjie Zhang, Bing Xue. "Evolutionary Computation for Feature
Selection and Feature Construction". Proceedings of the 2016
Genetic and Evolutionary Computation Conference (GECCO Companion
2016) . ACM Press. Denver, USA, 2016. pp.. ACM Press. Denver, USA, 2016.
pp. 861-881. (Tutorial)
Su Nguyen, Mengjie Zhang and Kay Chen Tan. "Maximising Total
Weighted Number of Activities for Reservation with Slack".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July, 2016.
pp. 3370-3337.
Stefano Cagnoni and Mengjie Zhang. "Evolutionary Computer Vision
and Image Processing: some FAQs, Current Challenges and Future
Perspectives". Proceedings of 2016 IEEE World Congress on
Computational Intelligence/ IEEE Congress on Evolutionary Computation
(WCCI 2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 1267-1271.
Xiu Cheng, Gang Chen and Mengjie Zhang. "An XCS-based Algorithm
for Multi-Objective Reinforcement Learning". Proceedings of
2016 IEEE World Congress on Computational Intelligence/ IEEE
Congress on Evolutionary Computation (WCCI 2016 /CEC2016).
Vancouver, Canada. 24-29 July, 2016. pp. 4007-4014.
Francine Burling-Claridge, Muhammad Iqbal and Mengjie
Zhang. "Evolutionary Algorithms for Classification of Mammographic
Densities using Local Binary Patterns and Statistical Features".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3847-3954.
Cao Truong Tran, Mengjie Zhang and Peter Andreae. "Directly
Evolving Classifiers for Missing Data using Genetic Programming".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 5278-5285.
Yuyu Liang, Mengjie Zhang and Will N. Browne. "Figure-ground Image
Segmentation and Feature Selection Using Genetic Programming".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3839-3846.
Isidro Alvarez, Will Browne and Mengjie Zhang. "Compaction for
Code Fragment Based Learning Classifier Systems - Redux".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 2217-2224.
Yi Mei, Mengjie Zhang, "A Comprehensive Analysis on Reusability
of GP-Evolved Job Shop Dispatching Rules". Proceedings of 2016
IEEE World Congress on Computational Intelligence/ IEEE Congress on
Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver,
Canada. 24-29 July, 2016. pp. 3590-3597.
Su Nguyen, Yi Mei, Hui Ma, Aaron Chen, Mengjie Zhang.
"Evolutionary Scheduling and Combinatorial Optimisation:
Applications, Challenges, and Future Directions".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3053-3060.
Michael Riley, Yi Mei, Mengjie Zhang. "Improving Job Shop
Dispatching Rules Through Terminal Weighting and Adaptive
Mutation in Genetic Programming".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July,
2016. pp. 3362-3369.
Alexandre S. da Silva, Yi Mei, Hui Ma, Mengjie Zhang. "A Memetic
Algorithm-Based Indirect Approach to Web Service
Composition". Proceedings of 2016 IEEE World Congress on
Computational Intelligence/ IEEE Congress on Evolutionary
Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29
July, 2016. pp 3385-3392.
Longfei Yan, Yi Mei, Hui Ma, Mengjie Zhang. "Evolutionary Web
Service Composition with Graph-based Memetic Algorithm".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July, 2016.
pp. 201-208.
Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang, "Many-Objective
Genetic Programming for Job-Shop Scheduling". Proceedings of
2016 IEEE World Congress on Computational Intelligence/ IEEE
Congress on Evolutionary Computation (WCCI 2016 /CEC2016).
Vancouver, Canada. 24-29 July, 2016. pp. 209-216.
Bing Xue and Mengjie Zhang, "Evolutionary Computation for Feature
Manipulation in Machine Learning and Data Mining". Proceedings
of 2016 IEEE World Congress on Computational Intelligence/ IEEE
Congress on Evolutionary Computation (WCCI 2016
/CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3061-3067.
Qi Chen, Bing Xue and Mengjie Zhang, "Improving Generalisation of
Genetic Programming for High-Dimensional Symbolic Regression
with Feature Selection". Proceedings of 2016 IEEE World
Congress on Computational Intelligence/ IEEE Congress on
Evolutionary Computation (WCCI 2016 /CEC2016). Vancouver,
Canada. 24-29 July, 2016. pp. 3793-3800.
Binh Tran, Mengjie Zhang and Bing Xue, "A PSO Based Hybrid
Feature Selection Algorithm For High-Dimensional
Classification". Proceedings of 2016 IEEE World Congress on
Computational Intelligence/ IEEE Congress on Evolutionary
Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29
July, 2016. pp. 3801-3808.
Edward Haslam, Bing Xue and Mengjie Zhang, "Further Investigation
on Genetic Programming with Transfer Learning for Symbolic
Regression". Proceedings of 2016 IEEE World Congress on
Computational Intelligence/ IEEE Congress on Evolutionary
Computation (WCCI 2016 /CEC2016) . Vancouver, Canada. 24-29
July, 2016. pp. 3598-3605.
Muhammad Iqbal, Mengjie Zhang and Bing Xue, " Transfer Learning
in Genetic Programming for Image Classification".
Proceedings of 2016 IEEE World Congress on Computational
Intelligence/ IEEE Congress on Evolutionary Computation (WCCI
2016 /CEC2016). Vancouver, Canada. 24-29 July, 2016. pp. 3582-3589.
Tessa Phillips, Mengjie Zhang and Bing Xue, "Genetic Programming
for Evolving Programs with Recursive
Structures". Proceedings of 2016 IEEE World Congress on
Computational Intelligence/ IEEE Congress on Evolutionary
Computation (WCCI 2016 /CEC2016). Vancouver, Canada. 24-29
July, 2016. pp. 5044-5051.
Saeed Mirghasemi, Ramesh Rayudu and Mengjie Zhang. "A New
Modification of Fuzzy C-Means via Particle Swarm Optimization for
Noisy Image Segmentation". Proceedings of the Australasian
Conference on Artificial Life and Computational Intelligence (ACALCI
2016) Canberra, Australia. 2-5 February 2016. ACM. pp. 147-159.
Boxiong Tan, Hui Ma and Mengjie Zhang. "Optimization of Location
Allocation of Web Services Using A Modified Non-dominated Sorting
Genetic Algorithm". Proceedings of the Australasian Conference on
Artificial Life and Computational Intelligence (ACALCI 2016)
Canberra, Australia. 2-5 February 2016. ACM. pp. 246-257.
Isidro Alvarez, Will Browne and Mengjie Zhang. "Compaction for
Code Fragment Based Learning Classifier Systems". Proceedings of
the Australasian Conference on Artificial Life and Computational
Intelligence (ACALCI 2016) Canberra, Australia. 2-5 February
2016. ACM. pp. 41-53.
Yuyu Liang, Mengjie Zhang and Will Browne. "Multi-objective
Genetic Programming for Figure-ground Image Segmentation".
Proceedings of the Australasian Conference on Artificial Life and
Computational Intelligence (ACALCI 2016) Canberra,
Australia. 2-5 February 2016. ACM. pp. 134-146.
Hoai bach Bguyen, Bing Xue and Mengjie Zhang. "Similarity based
Multi-objective Particle Swarm Optimisation for Feature Selection in
Classification". Proceedings of the Australasian Conference on
Artificial Life and Computational Intelligence (ACALCI 2016)
Canberra, Australia. 2-5 February 2016. ACM. pp. 298-310.
Deepak Karunakaran, Gang Chen and Mengjie Zhang. "Parallel
Multi-objective Job Shop Scheduling Using Genetic Programming".
Proceedings of the Australasian Conference on Artificial Life and
Computational Intelligence (ACALCI 2016) Canberra,
Australia. 2-5 February 2016. ACM. pp. 234-245.
Mhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David
Balduzzi. "Domain Generalization for Object Recognition with
Multi-task Autoencoders", Proceedings of IEEE International
Conference on Computer Vision (ICCV 2015). IEEE Press. 2015.
pp. 2551-2559.
Saeed Mirghasemi, Ramesh Rayudu and Mengjie Zhang. "A Heuristic
Solution for Noisy Image Segmentation Using Particle Swarm
Optimization and Fuzzy Clustering". Proceedings of the 7th
International Joint Conference on Computational
Intelligence. Lisbon, Portugal. 12-14 November 2015.
pp. 17-27. (Nominated for the Best Paper Award)
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang and Bing Xue. "A
Hybrid Genetic Programming Approach to Feature Detection and Image
Classification". Proceedings of 2015 the 30th International
Conference on Image and Vision Computing New Zealand (IVCNZ
2015). IEEE Press. Auckland. 23 - 24 Nov 2015.
Wenlong Fu, Mengjie Zhang, Mark Johnston. "Genetic Programming
for Extracting Edge Features Using Two Blocks". Proceedings of
the Thirteenth Australasian Data Mining Conference . Sydney,
Australia. 8-9 August, 2015. 10pp.
Tony Butler-Yeoman, Bing Xue, and Mengjie Zhang. "Particle Swarm
Optimisation for Feature Selection: A Size-Controlled
Approach". Proceedings of the Thirteenth Australasian Data
Mining Conference . Sydney, Australia. 8-9 August, 2015. 10pp.
Su Nguyen, Mengjie Zhang, Kay Chen Tan. "A Dispatching rule based
Genetic Algorithm for Order Acceptance and
Scheduling". Proceedings of 2015 Genetic and Evolutionary
Computation Conference (GECCO 2015). Madrid, Spain. 11-15 July
2015. pp. 433-440.
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston. "Evolutionary
Image Descriptor: A Dynamic Genetic Programming Representation for
Feature Extraction". Proceedings of 2015 Genetic and Evolutionary
Computation Conference (GECCO 2015). Madrid, Spain. 11-15 July
2015. pp. 975-982.
Cao Truong Tran, Peter Andreae and Mengjie Zhang. "Multiple
Imputation for Missing Data using Genetic
Programming". Proceedings of 2015 Genetic and Evolutionary
Computation Conference (GECCO 2015). Madrid, Spain. 11-15 July
2015. pp. 583-590.
John Park, Su Nguyen, Mark Johnston, Mengjie Zhang. "A Single
Population Genetic Programming based Ensemble Learning Approach to Job
Shop Scheduling". Proceedings of 2015 Genetic and Evolutionary
Computation Conference (GECCO Companion 2015). Madrid, Spain. 11-15 July
2015. pp. 1451-1452.
Sujan Chowdhury, Brijesh Verma, Mary Tom and Mengjie Zhang. "Pixel
Characteristics based Feature Extraction Approach for Roadside Object
Detection". Proceedings of 2015 International Joint Conference on
Neural Networks (IJCNN2015).. Killarney, Ireland. 12-17 July
2015.
Chahine Koleejan, Bing Xue and Mengjie Zhang, "Code coverage
optimisation in genetic algorithms and particle swarm optimisation for
automatic software test data generation". Proceedings of 2015
IEEE Congress on Evolutionary Computation (CEC 2015). Sendai,
Japan. 25-28 May, 2015. pp. 1204-1211.
Qi Chen, Bing Xue and Mengjie Zhang, "Generalisation and Domain
Adaptation in GP with Gradient Descent for Symbolic Regression".
Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC
2015) . Sendai, Japan. 25-28 May, 2015. pp. 1137-1144.
Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga and Bahriye
Akay, "A Multi-Objective ABC Approach to Feature Selection using Fuzzy
Mutual Information". Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015). Sendai, Japan, 25-28 May, 2015. pp. 2420-2427.
Tony Butler-Yeoman, Bing Xue and Mengjie Zhang, "Particle Swarm
Optimisation for Feature Selection: A Hybrid Filter-Wrapper
Approach". Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015. 2428-2435.
Cao Truong Tran, Peter Andreae and Mengjie Zhang. "Impact of
Imputation of Missing Values on Genetic Programming based Multiple
Feature Construction for Classification". Proceedings of 2015
IEEE Congress on Evolutionary Computation (CEC 2015). Sendai,
Japan. 25-28 May, 2015. pp. 2398-2405.
Su Nguyen, Zhang Mengjie and Kay Chen Tan. "Enhancing Genetic
Programming based Hyper-Heuristics for Dynamic Multi-objective Job
Shop Scheduling Problems". Proceedings of 2015 IEEE Congress on
Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May,
2015. pp. 2781-2788.
Yang Yu, Hui Ma and Mengjie Zhang. "F-MOGP: A Novel Many-Objective
Evolutionary Approach to QoS-Aware Data Intensive Web Service
Composition". Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015). Sendai, Japan. 25-28 May,
2015. pp. 2843-2850.
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang and Brijesh
Verma. "Genetic Programming for Algae Detection in River
Images". Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015). Sendai, Japan. 25-28 May, 2015.
pp. 2468-2475.
Alexandre Sawczuk da Silva, Hui Ma and Mengjie Zhang. "A GP
Approach to QoS-Aware Web Service Composition including Conditional
Constraints". Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015). Sendai, Japan. 25-28 May,
2015. pp. 2113-2120.
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston and Brijesh
Verma. "Image Descriptor: A Genetic Programming Approach to Multiclass
Texture Classification". Proceedings of 2015 IEEE Congress on
Evolutionary Computation (CEC 2015). Sendai, Japan. 25-28 May,
2015. pp. 2460-2467. (The Overall Best Paper Award, out of over 700
submissions)
Peter McLeod, Brijesh Verma, Mengjie Zhang. "Optimizing
configuration of neural ensemble network for breast cancer
diagnosis". Proceedgins of the 2014 International Joint Conference
on Neural Networks (IJCNN 2014). IEEE. Beijing, China. 2014.
1087-1092.
Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang.
"Information Divergence Based Saliency Detection with a Global
Center-Surround Mechanism". Proceedings of 22nd International
Conference on Pattern Recognition (ICPR 2014). IEEE
Press. Stockholm, Sweden. 2014. pp. 3428-3433.
Stephen Bennett, Su Nguyen and Mengjie Zhang. "A Hybrid Discrete
Particle Swarm Optimisation Method for Grid Computation
Scheduling". Proceedings of 2014 IEEE Congress on Evolutionary
Computation. IEEE Press. Beijing, China. July
6-11. 2014. pp. 483-490.
Hoai Bach Nguyen. Bing Xue, Ivy Liu and Mengjie Zhang. "Filter
based Backward Elimination in Wrapper based PSO for Feature Selection
in Classification". Proceedings of 2014 IEEE Congress on
Evolutionary Computation. IEEE Press. Beijing, China. July
6-11. 2014. pp.3111-3118.
Rachel Hunt, Mark Johnston and Mengjie Zhang. "Evolving
Machine-Specific Dispatching Rules for a Two-Machine Job Shop using
Genetic Programming". Proceedings of 2014 IEEE Congress on
Evolutionary Computation. IEEE Press. Beijing, China. July
6-11. 2014. pp. 618-625.
Bing Xue, A. K. Qin and Mengjie Zhang. "An Archive based Particle
Swarm Optimisation for Feature Selection in
Classification". Proceedings of 2014 IEEE Congress on
Evolutionary Computation. IEEE Press. Beijing, China. July
6-11. 2014. pp. 3119-3126.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Unsupervised
Learning for Edge Detection using Genetic
Programming". Proceedings of 2014 IEEE Congress on Evolutionary
Computation. IEEE Press. Beijing, China. July 6-11. 2014.
pp.117-124.
Yang Yu, Hui Ma and Mengjie Zhang. "A Genetic Programming
Approach to Distributed QoS-aware Web Service
Composition". Proceedings of 2014 IEEE Congress on Evolutionary
Computation. IEEE Press. Beijing, China. July 6-11. 2014.
pp. 1840-1846.
Alexandre Sawczuk da Silva, Hui Ma and Mengjie Zhang. "A
Graph-Based Particle Swarm Optimisation Approach to QoS-Aware Web
Service Composition and Selection". Proceedings of 2014 IEEE
Congress on Evolutionary Computation. IEEE Press. Beijing,
China. July 6-11. 2014. pp. 3127-3134.
Soha Ahmed, Mengjie Zhang and Lifeng Peng. "A New GP-based
Wrapper Feature Construction Approach to Classification and Biomarker
Identification". Proceedings of 2014 IEEE Congress on
Evolutionary Computation. IEEE Press. Beijing, China. July
6-11. 2014. pp. 2756-2763.
Su Nguyen, Mengjie Zhang and Mark Johnston. "A Sequential Genetic
Programming Method to Learn Forward Construction Heuristics for Order
Acceptance and Scheduling". Proceedings of 2014 IEEE Congress on
Evolutionary Computation. IEEE Press. Beijing, China. July
6-11. 2014. pp. 1824-1831.
Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue. "Multiple
Feature Construction for Effective Biomarker Identification and
Classification using Genetic Programming". Proceedings of 2014
Genetic and Evolutionary Computation Conference (GECCO 2014). ACM
Press. Vancouver, Canada. July 12-16, 2014. pp. 249-256.
Syahaneim Marzukhi, Will Browne, Mengjie Zhang. "Three-Cornered
Coevolution Learning Classifier Systems for Classification
Tasks". Proceedings of 2014 Genetic and Evolutionary Computation
Conference (GECCO 2014). ACM Press. Vancouver, Canada. July
12-16, 2014. pp. 549-556.
Rachel Hunt, Mark Johnston, Mengjie Zhang. "Evolving "Less-Myopic"
Scheduling Rules for Dynamic Job Shop Scheduling with Genetic
Programming". Proceedings of 2014 Genetic and Evolutionary
Computation Conference (GECCO 2014). ACM Press. Vancouver,
Canada. July 12-16, 2014. pp. 927-934. (Nominated for the Best
Paper Award -- GP Track)
Muhammad Iqbal, Syed Saud Naqvi, Will Browne, Christopher Hollitt,
Mengjie Zhang. "Salient Object Detection Using Learning Classifier
Systems that Compute Action Mappings". Proceedings of 2014 Genetic
and Evolutionary Computation Conference (GECCO 2014). ACM Press.
Vancouver, Canada. July 12-16, 2014. pp. 525-532. (Best Paper
Award -- EML Track)
Bing Xue, Wenlong Fu, Mengjie Zhang. "Differential evolution (DE)
for Multi-objective Feature Selection in
Classification". Proceedings of 2014 Genetic and Evolutionary
Computation Conference (GECCO 2014 Companion). ACM Press.
Vancouver, Canada. July 12-16, 2014. pp. 83-84.
Richard Marshall, Mark Johnston, Mengjie Zhang. "Hyper-Heuristics,
Grammatical Evolution and the Capacitated Vehicle Routing
Problem". Proceedings of 2014 Genetic and Evolutionary
Computation Conference (GECCO 2014 Companion). ACM Press.
Vancouver, Canada. July 12-16, 2014. pp. 71-72.
Soha Ahmed, Mengjie Zhang, Lifeng Peng. "Peptide Detection
Prediction of MS data using Genetic Programming". Proceedings of
2014 Genetic and Evolutionary Computation Conference (GECCO 2014
Companion). ACM Press. Vancouver, Canada. July 12-16,
2014. pp. 37-38.
Isidro M. Alvarez, Will N. Browne, Mengjie Zhang. "Reusing learned
functionality in XCS: code fragments with constructed functionality
and constructed features". Proceedings of 2014 Genetic and
Evolutionary Computation Conference (GECCO 2014 Companion, IWLCS
2014). ACM Press. Vancouver, Canada. July 12-16, 2014.
pp. 969-976.
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang. "Deep Hybrid
Networks with good out-of-sample object recognition". 2014 IEEE
International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2014). IEEE Press. Florence, Italy. 2014. pp. 5437 - 5441.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Investigation of
Low-level Edge Feature Extraction using Three Blocks". Proceedings
of 2013 the 28th International Conference on Image and Vision
Computing New Zealand (IVCNZ 2013). IEEE
Press. Wellington. 2013. pp. 293-298.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Gaussian Mixture
Models and Information Entropy for Image Segmentation using Particle
Swarm Optimisation". Proceedings of 2013 the 28th International
Conference on Image and Vision Computing New Zealand (IVCNZ
2013). IEEE Press. Wellington. 2013. pp. 328-333.
Saeed Mirghasemi, Ramesh Rayudu and Mengjie Zhang. "A New Image
Segmentation Algorithm Based on Modified Seeded Region Growing and
Particle Swarm Optimization". Proceedings of 2013 the 28th
International Conference on Image and Vision Computing New Zealand
(IVCNZ 2013). IEEE Press. Wellington. 2013. pp. 382-387.
Saeed Mirghasemi, Ramesh Rayudu and Mengjie Zhang. "A
feature-based region growing-merging approach to color image
segmentation". Proceedings of 2013 the 28th
International Conference on Image and Vision Computing New Zealand
(IVCNZ 2013). IEEE Press. Wellington. 2013. pp. 376-381.
Muhammad Ghifary, W. Bastiaan Kleijn and Mengjie Zhang. "Sparse
Features in Deep Learning for Noise-Robust Digit
Classification". Proceedings of 2013 the 28th International
Conference on Image and Vision Computing New Zealand
(IVCNZ2013). IEEE Press. Wellington. 2013. pp. 340-345.
Harith Al-Sahaf, Mengjie Zhang and Mark Johnston. "Binary Image
Classification Using Genetic Programming Based on Local Binary
Patterns". Proceedings of 2013 the 28th International Conference
on Image and Vision Computing New Zealand (IVCNZ 2013). IEEE
Press. Wellington. 2013. pp. 220-225.
Wenlong Fu, Mark Johnston and Mengjie
Zhang. "Triangular-Distribution-Based Feature Construction Using
Genetic Programming for Edge Detection". Proceedings of 2013 IEEE
Congress on Evolutionary Computation. Cancun, Mexico. 20-23 June,
2013. IEEE Press. pp. 1732--1739.
Roman Klapaukh, Will Browne and Mengjie Zhang. "The Effect of
Primitive Sets on the Expression of Evolved Images". Proceedings
of 2013 IEEE Congress on Evolutionary Computation. Cancun,
Mexico. 20-23 June, 2013. IEEE Press. pp. 725--732.
John Park, Su Nguyen, Mengjie Zhang and Mark Johnston. "Genetic
Programming for Order Acceptance and Scheduling". Proceedings of
2013 IEEE Congress on Evolutionary Computation. Cancun,
Mexico. 20-23 June, 2013. IEEE Press. pp. 1005-1012.
Liam Cervante, Bing Xue, Lin Shang and Mengjie Zhang. "Binary
Particle Swarm Optimisation and Rough Set Theory for Dimension
Reduction in Classification". Proceedings of 2013 IEEE Congress on
Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE
Press. pp. 2428--2435.
Aneta Stevanovic, Bing Xue and Mengjie Zhang. "Feature Selection
Based on PSO and Decision-Theoretic Rough Set Model". Proceedings
of 2013 IEEE Congress on Evolutionary Computation. Cancun,
Mexico. 20-23 June, 2013. IEEE Press. pp. 2840--2847.
Yang Yu, Hui Ma and Mengjie Zhang. "An Adaptive Genetic
Programming Approach to QoS-aware Web Services
Composition". Proceedings of 2013 IEEE Congress on Evolutionary
Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press.
pp. 1740--1747.
Juan Rada-Vilela, Mengjie Zhang and Mark Johnston. "Resampling in
Particle Swarm Optimization". Proceedings of 2013 IEEE Congress on
Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE
Press. pp. 947--954.
Soha Ahmed, Mengjie Zhang and Lifeng Peng. "Enhanced Feature
Selection for Biomarker Discovery in LC-MS Data using
GP". Proceedings of 2013 IEEE Congress on Evolutionary
Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press.
pp. 584--591.
Muhammad Iqbal, Will N. Browne and Mengjie Zhang. "Learning
Overlapping Natured and Niche Imbalance Boolean Problems Using XCS
Classifier Systems". Proceedings of 2013 IEEE Congress on
Evolutionary Computation. Cancun, Mexico. 20-23 June, 2013. IEEE
Press. pp. 1818--1825.
Aaron Scoble, Mengjie Zhang, Will Browne, Zane Bruce and Bill
Stephenson. "Evolutionary Spatial Auto-Correlation for Assessing
Earthquake Liquefaction Potential using Parallel Linear Genetic
Programming". Proceedings of 2013 IEEE Congress on Evolutionary
Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press.
pp. 2940--2947.
Harith Al-Sahaf, Andy Song and Mengjie Zhang. "Hybridisation of
Genetic Programming and Nearest Neighbour for
Classification". Proceedings of 2013 IEEE Congress on Evolutionary
Computation. Cancun, Mexico. 20-23 June, 2013. IEEE Press.
pp. 2650--2657.
Muhammad Iqbal, Will Browne, Mengjie Zhang. "Comparison of Two
Methods to Compute Action Value in XCS with Code-Fragment
Action". Proceedings of the Sixteenth International Workshop on
Learning Classifier Systems (IWLCS 2013), GECCO (Companion) 2013.
Amsterdam, The Netherlands. July 06-10, 2013. pp. 1235-1242.
Syahaneim Marzukhi, Will Browne, Mengjie Zhang. "Adaptive
Artificial Datasets Through Learning Classifier Systems for
Classification Tasks". Proceedings of the Sixteenth International
Workshop on Learning Classifier Systems (IWLCS 2013), GECCO
(Companion) 2013. Amsterdam, The Netherlands. July 06-10,
2013. pp. 1243-1250.
Bing Xue, Mengjie Zhang, Yan Dai, Will Browne. "PSO for Feature
Construction and Binary Classification". Proceedings of 2013 Genetic
and Evolutionary Computation Conference. Amsterdam, The
Netherlands. July 06-10, 2013. pp. 137-144.
Juan Rada-Velila, Mark Johnston, Mengjie Zhang. "Optimal Computing
Budget Allocation in Particle Swarm Optimization". Proceedings of
2013 Genetic and Evolutionary Computation Conference. Amsterdam,
The Netherlands. July 06-10, 2013. pp. 81-88.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming
for Edge Detection using Multivariate Density". Proceedings of
2013 Genetic and Evolutionary Computation Conference. Amsterdam,
The Netherlands. July 06-10, 2013. pp. 917-924. (Nominated for
the Best Paper Award --- GP Track)
Muhammad Iqbal, Will Browne, Mengjie Zhang. "Extending Scalable
Learning Classifier System with Cyclic Graphs to Solve Complex,
Large-Scale Boolean Problems". Proceedings of 2013 Genetic and
Evolutionary Computation Conference. Amsterdam, The
Netherlands. July 06-10, 2013. pp. 1045-1052 ( Best Paper Award ---
GBML Track)
Syahaneim Marzukhi, Will Browne, Mengjie Zhang. "Adaptive
Artificial Datasets to Discover the Effects of Domain Features for
Classification Taks". Proceedings of 2013 Genetic and
Evolutionary Computation Conference (GECCO Companion 2013).
Amsterdam, The Netherlands. July 06-10, 2013. pp. 157-158.
Urvesh Bhowan, Mark Johnston, Mengjie Zhang. "Comparing Ensemble
Learning Approaches in Genetic Programming for Classification with
Unbalanced Data". Proceedings of 2013 Genetic and Evolutionary
Computation Conference (GECCO Companion 2013). Amsterdam, The
Netherlands. July 06-10, 2013. pp. 135-136.
Samuel Hindmarsh, Peter Andreae and Mengjie Zhang. "Genetic
Programming for Improving Image Descriptors Generated Using the
Scale-Invariant Feature Transform". Proceedings of the 27th
International Conference on Image and Vision Computing New
Zealand. ACM Press. Dunedin, New Zealand. 26-28 November 2012.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Multi-Frequency
Transformation for Edge Detection". Proceedings of the 27th
International Conference on Image and Vision Computing New
Zealand. ACM Press. Dunedin, New Zealand. 26-28 November 2012.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming for
Edge Detection Based on Figure of Merit". Proceedings of 2012
Genetic and Evolutionary Computation Conference (GECCO (Companion)
2012). ACM Press. Philadelphia, USA. 7-11 July 2012.
pp. 1483-1484.
Toktam Ebadi, Will N. Browne, Mengjie Zhang. "XCS-based versus
UCS-based Feature Pattern Classification System". Proceedings of
2012 Genetic and Evolutionary Computation Conference (GECCO
2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 839-846.
Muhammad Iqbal, Will N. Browne, Mengjie Zhang. "Extracting and
Using Building Blocks of Knowledge in Learning Classifier
Systems". Proceedings of 2012 Genetic and Evolutionary
Computation Conference (GECCO 2012). ACM Press. Philadelphia,
USA. 7-11 July 2012. pp. 863-870.
Syahaneim Marzukh, Will N. Browne, Mengjie Zhang. "Two-Cornered
Learning Classifier Systems for Pattern Generation and
Classification". Proceedings of 2012 Genetic and Evolutionary
Computation Conference (GECCO 2012). ACM Press. Philadelphia,
USA. 7-11 July 2012. pp. 895-902.
Bing Xue, Mengjie Zhang, Will N. Browne. "Multi-Objective
Particle Swarm Optimisation (PSO) for Feature Selection".
Proceedings of 2012 Genetic and Evolutionary Computation Conference
(GECCO 2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 81-88.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "Genetic Programming
for Edge Detection Using Blocks to Extract Features". Proceedings
of 2012 Genetic and Evolutionary Computation Conference (GECCO
2012). ACM Press. Philadelphia, USA. 7-11 July 2012. pp. 855-862.
Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "A Spatial
Random-Meaningful Neighbourhood Topology in PSO for Edge Detection in
Noisy Images". Proceedings of 2012 Genetic and Evolutionary
Computation Conference (GECCO (Companion) 2012). ACM Press. Philadelphia,
USA. 7-11 July 2012. pp. 1403-1404.
Harith Al-Sahaf, Andy Song, Kourosh Neshatian and Mengjie
Zhang. "Extracting Image Features for Classification By Two-Tier
Genetic Programming". Proceedings of 2012 IEEE Congress on
Evolutionary Computation. IEEE Press. 2012. pp. 567-574.
Fahmi Abdulhamid, Andy Song, Kourosh Neshatian and Mengjie
Zhang. "Evolving Genetic Programming Classifiers with Loop
Structures". Proceedings of 2012 IEEE Congress on
Evolutionary Computation. IEEE Press. 2012. pp. 2581-2588.
Mahdi Setayesh, Mengjie Zhang and Mark Johnston. "Effects of
Static and Dynamic Topologies in Particle Swarm Optimisation for Edge
Detection in Noisy Images". Proceedings of 2012 IEEE Congress on
Evolutionary Computation. IEEE Press. 2012. pp. 8-15.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Genetic Programming
for Edge Detection via Balancing Individual Training
Images". Proceedings of 2012 IEEE Congress on Evolutionary
Computation. IEEE Press. 2012. pp. 2597-2604.
Liam Cervante, Bing Xue and Mengjie Zhang. "Binary Particle Swarm
Optimisation for Feature Selection: A Filter Based
Approach". Proceedings of 2012 IEEE Congress on Evolutionary
Computation. IEEE Press. 2012. pp. 881-888.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Soft Edge Maps From
Edge Detectors Evolved by Genetic Programming". Proceedings of
2012 IEEE Congress on Evolutionary Computation. IEEE
Press. 2012. pp. 24-31.
Rachel Hunt, Kourosh Neshatian and Mengjie Zhang. "Scalability
Analysis of Genetic Programming Classifiers". Proceedings of
2012 IEEE Congress on Evolutionary Computation. IEEE
Press. 2012. pp. 1416-1422.
Su Nguyen, Mengjie Zhang, Mark Johnston and Tan Kay Chen. "A
Coevolution Genetic Programming Method to Evolve Scheduling Policies
for Dynamic Multi-objective Job Shop Scheduling Problems". Proceedings of
2012 IEEE Congress on Evolutionary Computation. IEEE
Press. 2012. pp. 3261-3268.
Juan Rada-Vilela, Mengjie Zhang and Winston Seah. "A Performance
Study on the Effects of Noise and Evaporation in Particle Swarm
Optimization". Proceedings of 2012 IEEE Congress on Evolutionary
Computation. IEEE Press. 2012. pp. 873-880.
Bing Xue, Mengjie Zhang and Will N. Browne. "New Fitness
Functions in Binary Particle Swarm Optimisation for Feature
Selection". Proceedings of 2012 IEEE Congress on Evolutionary
Computation. IEEE Press. 2012. pp. 2145-2152.
Bing Xue, Mengjie Zhang, Will N. Browne. "Single Feature Ranking
and Binary Particle Swarm Optimisation Based Feature Subset Ranking
for Feature Selection". Proceedings of the Thirty-Fifth
Australasian Computer Science Conference (ACSC 2012). Melbourne,
Australia. 30 Jan - 2 Feb 2012. pp. 27-36.
Harith Al-Sahaf, Kourosh Neshatian, Mengjie Zhang. "Two-tier
Genetic Programming for Automatic Feature Extraction, Feature
Selection and Image Classification". Proceedings of the Twenty-sixth
International Conference on Image and Vision Computing New
Zealand. Auckland. 29 Nov - 1 Dec 2011. pp. 109-114.
Fahmi Abdulhamid, Kourosh Neshatian, Mengjie Zhang. "Image
Recognition using Genetic Programming with Loop
Structures". Proceedings of the Twenty-sixth International Conference
on Image and Vision Computing New Zealand. Auckland. 29 Nov - 1 Dec
2011. pp. 553-558.
Wenlong Fu, Mark Johnston, Mengjie Zhang. "Analysis of Diagonal
Derivatives in Edge Detectors Evolved by Genetic
Programming". Proceedings of the Twenty-sixth International Conference
on Image and Vision Computing New Zealand. Auckland. 29 Nov - 1 Dec
2011. pp. 345-350.
Mahdi Setayesh, Mark Johnston, Mengjie Zhang. "A Novel Local
Thresholding Technique in PSO for Detecting Continuous Edges in Noisy
Images". Proceedings of the Twenty-sixth International Conference on
Image and Vision Computing New Zealand. Auckland. 29 Nov - 1 Dec
2011. pp. 333-339.
Harith Al-Sahaf, Kourosh Neshatian, Mengjie Zhang. "Automatic
Feature Extraction And Image Classification Using Genetic
Programming". Proceedings of the 5th International Conference on
Automation, Robots and Applications (ICARA 2011). IEEE
Press. Wellington, New Zealand. December 6-8 2011. pp. 157-162.
Fahmi Abdulhamid, Kourosh Neshatian, Mengjie Zhang. "Genetic
Programming for Evolving Programs with Loop Structures for
Classification Tasks". Proceedings of the 5th International
Conference on Automation, Robots and Applications (ICARA
2011). IEEE Press. Wellington, New Zealand. December 6-8 2011.
pp. 202-207.
Juan Rada-Vilela, Mengjie Zhang, Winston Seah. "Random
Asynchronous PSO". Proceedings of the 5th International
Conference on Automation, Robots and Applications (ICARA
2011). IEEE Press. Wellington, New Zealand. December 6-8
2011. pp. 220-225.
Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang. "Developing An
Evolvable Pattern Generator Using Learning Classifier Systems".
Proceedings of the 5th International Conference on Automation, Robots
and Applications (ICARA 2011). IEEE Press. Wellington, New
Zealand. December 6-8 2011. pp. 163-168.
Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Evolving Ensembles
in Multi-objective Genetic Programming for Classification with
Unbalanced Data". Proceeding of Genetic and Evolutionary Computation
Conference (GECCO'11), ACM Press. 2011. pp. 1331-1338.
Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "Detection of
Continuous Smooth and Thin Edges in Noisy Images Using Constrained
Particle Swarm Optimisation". Proceeding of Genetic and Evolutionary
Computation Conference (GECCO'11), ACM Press. 2011. pp. 45-52.
Juan Rada-Vilela, Mengjie Zhang, Winston Seah. "A performance
study on synchronous and asynchronous updates in particle swarm
optimization". Proceeding of Genetic and Evolutionary Computation
Conference (GECCO'11), ACM Press. 2011. pp. 21-28.
Su Nguyen, Mengjie Zhang, Mark Johnston. "A Genetic Programming
Based Hyper-heuristic Approach for Combinatorial Optimisation".
Proceeding of Genetic and Evolutionary Computation Conference
(GECCO'11), ACM Press. 2011. pp. 1299-1306.
Wenlong F, Mark Johnston, Mengjie Zhang. "Hybrid Particle Swarm
Optimisation Based on History Information Sharing". Proceeding of
Genetic and Evolutionary Computation Conference (GECCO'11), ACM
Press. 2011. pp. 77-84.
Carlton Downey, Mengjie Zhang. "Caching for Parallel Linear
Genetic Programming". Proceeding of Genetic and Evolutionary
Computation Conference. GECCO (Companion) 2011, ACM
Press. pp. 201-202.
Ignas Kukenys, Will Browne, Mengjie Zhang. "Confusion Matrices
for Improving Performance of Feature Pattern Classifier Systems".
Proceeding of Genetic and Evolutionary Computation Conference.
GECCO (Companion) 2011, ACM Press. 2011. pp. 181-182.
Jingxuan Wei, Mengjie Zhang. "Attraction Based PSO with Sphere
Search for Dynamic Constrained Multi-Objective Optimization
Problems". Proceeding of Genetic and Evolutionary Computation
Conference. GECCO (Companion) 2011. ACM Press. pp. 77-78.
Muhammad Iqbal, Will Browne, Mengjie Zhang. "Automatically
Defined Functions for Learning Classifier Systems". The Fourteenth
International Workshop on Learning Classifier Systems. Proceeding of
Genetic and Evolutionary Computation Conference. GECCO (Companion) 2011,
ACM Press. pp. 375-382.
Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "Edge Detection
Using Constrained Discrete Particle Swarm Optimisation in Noisy
Images". Proceeding of the 2011 IEEE Congress on Evolutionary
Computation. IEEE Press. New Orleans, USA. June 5-8, 2011. pp. 246-253.
Jingxuan Wei and Mengjie Zhang. "A Memetic Particle Swarm
Optimization for Constrained Multi-objective Optimization Problems".
Proceeding of the 2011 IEEE Congress on Evolutionary Computation. IEEE
Press. New Orleans, USA. June 5-8, 2011. pp. 1635-1642.
Wenlong Fu, Mark Johnston and Mengjie Zhang. "Genetic Programming
For Edge Detection: A Global Approach". Proceeding of the 2011 IEEE
Congress on Evolutionary Computation. IEEE Press. New Orleans,
USA. June 5-8, 2011. pp. 254-261.
Carlton Downey and Mengjie Zhang. "Execution Trace Caching for
Linear Genetic Programming". Proceeding of the 2011 IEEE Congress on
Evolutionary Computation. IEEE Press. New Orleans, USA. June 5-8,
2011. pp. 1191-1198.
Daniel Atkins, Kourosh Neshatian and Mengjie Zhang. "A
Domain Independent Genetic Programming Approach to Automatic Feature
Extraction for Image Classification". Proceeding of the 2011 IEEE
Congress on Evolutionary Computation. IEEE Press. New Orleans,
USA. June 5-8, 2011. pp. 238-245.
Anna Friedlander, Kourosh Neshatian and Mengjie
Zhang. "Meta-Learning and Feature Ranking Using Genetic Programming
for Classification: Variable Terminal Weighting". Proceeding of the
2011 IEEE Congress on Evolutionary Computation. IEEE Press. New
Orleans, USA. June 5-8, 2011. pp. 940-947.
Rohitash Chandra, Marcus Frean and Mengjie Zhang. "Modularity
Adaptation in Cooperative Coevolution of Feedforward Neural
Networks". Proceedings of 2011 the International Joint Conference on
Neural Networks (IJCNN 2011). IEEE Press. San Jose, California. July
31 - August 5, 2011. pp. 681-688.
Rohitash Chandra, Marcus Frean and Mengjie Zhang. "A Memetic
Framework for Cooperative Coevolution of Recurrent Neural Networks".
Proceedings of 2011 the International Joint Conference on Neural
Networks (IJCNN 2011). IEEE Press. San Jose, California. July 31 -
August 5, 2011. pp. 673-680.
Lee Macri, Will Browne, and Mengjie Zhang. "Particle Swarm
Optimisation Based AdaBoost for Facial Expression Classication of
Still Images". Proceedings of the 25th International Conference of
Image and Vision Computing New Zealand. IEEE. Queenstown, New Zealand,
2010. 8pp.
Mahdi Setayesh, Mengjie Zhang, and Mark Johnston. "Improving Edge
Detection Using Particle Swarm Optimisation". Proceedings of the 25th
International Conference of Image and Vision Computing New
Zealand. IEEE. Queenstown, New Zealand, 2010. 8pp.
David Kinzett, Mengjie Zhang and Mark Johnston. "Investigation of
Simplification Threshold and Noise Level of Input Data in Numerical
Simplification of Genetic Programs". Proceedings of 2010 IEEE
Congress on Evolutionary Computation. Barcelona,
Spain. 2010. IEEE. pp. 3065-3072.
Thomas Liddle, Mark Johnston and Mengjie Zhang. "Multi-Objective
Genetic Programming for Object Detection". Proceedings of 2010
IEEE Congress on Evolutionary Computation. Barcelona,
Spain. 2010. IEEE. pp.3345-3352.
Jan Larris, Mengjie Zhang and Will Browne. "Using Unrestricted
Loops in Genetic Programming for Image Classification".
Proceedings of 2010 IEEE Congress on Evolutionary
Computation. Barcelona, Spain. 2010. IEEE. pp. 4600-4607.
Daniel Atkins, Will Browne and Mengjie Zhang. "Evolution of
Aesthetically Pleasing Art Without Human-In-The-Loop".
Proceedings of 2010 IEEE Congress on Evolutionary
Computation. Barcelona, Spain. 2010. IEEE. pp. 2194-2201.
Andy Song, Dunhai Chen and Mengjie Zhang. "Contribution Based
Bloat Control in Genetic Programming". Proceedings of 2010 IEEE
Congress on Evolutionary Computation. Barcelona,
Spain. 2010. IEEE. pp. 1725-1732.
Carlton Downey, Mengjie Zhang, Will Browne. "New Crossover
Operators in Linear Genetic Programming for Multiclass Object
Classification". Proceedings of 2010 Genetic and Evolutionary
Computation Conference.. Portland, USA. 2010. ACM. pp. 885-892.
Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "AUC Analysis of the
Pareto-Front using Multi-objective GP for Classification with
Unbalanced Data". Proceedings of 2010 Genetic and Evolutionary
Computation Conference.. Portland, USA. 2010. ACM. pp.845-852.
Ammar Mohemmed, Mengjie Zhang, Will Browne. "Particle Swarm
Optimisation for Outlier Detection". Proceedings of 2010 Genetic
and Evolutionary Computation Conference.. Portland,
USA. 2010. ACM. pp.83-84.
Urvesh Bhowan, Mengjie Zhang, Mark Johnston. "Genetic Programming
for Image Classification with Unbalanced Data". Proceeding of the
24th International Conference on Image and Vision Computing New
Zealand. Wellington, 2009. IEEE Press. pp. 316-321.
Mahdi Setayesh, Mengjie Zhang, Mark Johnston. "A new
homogenity-based approach to edge detection using
PSO". Proceeding of the 24th International Conference on Image
and Vision Computing New Zealand. Wellington, 2009. IEEE
Press. pp. 231-236.
Kourosh Neshatian, Mengjie Zhang. "Dimensionality Reduction in
Face Detection: A Genetic Programming Approach". Proceeding of the
24th International Conference on Image and Vision Computing New
Zealand. Wellington, 2009. IEEE Press. pp. 391-396.
Carlton Downey, Mengjie Zhang. "Multiclass Object Classification
for Computer Vision using Linear Genetic Programming". Proceeding
of the 24th International Conference on Image and Vision Computing New
Zealand. Wellington, 2009. IEEE Press. pp. 73-78.
Rohitash Chandra, Mengjie Zhang and Luc Rolland. "A Hybrid
Meta-Heuristic Approach to the Forward Kinematics of 3RPR Planar
Parallel Manipulator". Proceedings of the 2009 IEEE International
Symposium on Computational Intelligence in Robotics and Automation
(CIRA2009). 2009. IEEE Press. pp. 177-182
Mengjie Zhang, Stefano Cagnoni, Gustavo Olague. "GECCO 2009
Tutorial: Evolutionary Computer Vision". Proceedings of the 11th
annual conference companion on Genetic and evolutionary computation
conference. ACM Press. 2009. pp. 3355-3380. ISBN:
978-1-60558-505-5.
Kourosh Neshatian, Mengjie Zhang. "Pareto Front Feature
Selection: Using Genetic Programming to Explore the Feature
Space". Proceedings of the 11th Annual conference on Genetic and
Evolutionary Computation Conference (GECCO 2009). ACM
Press. 2009. pp. 1027-1034. ISBN:978-1-60558-325-9
David Kinzett, Mark Johnston, Mengjie Zhang. "How Online
Simplification Affects Building Blocks in Genetic
Programming". Proceedings of the 11th Annual conference on Genetic and
Evolutionary Computation Conference (GECCO 2009). ACM
Press. 2009. pp. 979-986. ISBN:978-1-60558-325-9
Ammar Mohhemed, Mark Johnston, Mengjie Zhang. "Particle Swarm
Optimization Based Multi-prototype Ensembles". Proceedings of the 11th
Annual conference on Genetic and Evolutionary Computation Conference
(GECCO 2009). ACM Press. 2009.
pp. 57-64. ISBN:978-1-60558-325-9. ( Nominated for the Best Paper
Award)
Andy Song, Dunhai Chen, Mengjie Zhang. "Bloat Control by
Evaluating Contribution of Nodes". Proceedings of the 11th Annual
conference on Genetic and Evolutionary Computation Conference (GECCO
2009). ACM Press. 2009. pp. 1893-1894. ISBN:978-1-60558-325-9.
Urvesh Bhowan, Mark Johnston, and Mengjie Zhang. "Differentiating
Between Individual Class Performance in Genetic Programming Fitness
for Classification with Unbalanced Data". Proceedings of
the 2009 IEEE Congress on Evolutionary Computation. IEEE
Press. 2009. pp. 2802 - 2809.
Ammar Mohemmed, Mengjie Zhang and Mark Johnston. "Particle Swarm
Optimization Based Adaboost for Face Detection". Proceedings of
the 2009 IEEE Congress on Evolutionary Computation. IEEE
Press. 2009. pp. 2494 - 2501.
Hamish Evans and Mengjie Zhang. "Particle Swarm Optimisation for
Object Classification". 23rd International Conference Image and
Vision Computing New Zealand. IEEE Press. 2008. pp.1-6. DOI:
10.1109/IVCNZ.2008.4762143. ISBN: 978-1-4244-3780-1
Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston, "An
Analysis of Multi-Sampled Issue and No-Replacement Tournament
Selection", Proceedings of Genetic and Evolutionary Computation
Conference (GECCO 2008) , ACM Press. Atlanta, USA, July
2008. pp. 1323-1330.
Ammar W Mohemmed, Mengjie Zhang. "Evaluation of Particle Swarm
Optimization Based Centroid Classifier with Different Distance
Metrics". Proceedings of the 2008 IEEE Congress on Evolutionary
Computation.. IEEE Press. Hong Kong. June 2008. pp. 2934-2937.
Will Smart, Mengjie Zhang. "Empirical Analysis of Schemata in
Genetic Programming using Maximal Schemata and MSG". Proceedings
of the 2008 IEEE Congress on Evolutionary Computation.. IEEE
Press. Hong Kong. June 2008. pp. 2988-2995.
Phillip Wong, Mengjie Zhang. "SCHEME: Caching Subtrees in Genetic
Programming". Proceedings of the 2008 IEEE Congress on
Evolutionary Computation.. IEEE Press. Hong Kong. June 2008.
pp. 2683-2690.
Huayang Xie, Mengjie Zhang, Peter Andreae and Mark Johnston. "Is
the Not-Sampled Issue in Tournament Selection
Critical?". Proceedings of the 2008 IEEE Congress on Evolutionary
Computation.. IEEE Press. Hong Kong. June 2008. pp. 3711-3718.
Kourosh Neshatian and Mengjie Zhang. "Genetic Programming for
Performance Improvement and Dimensionality Reduction of Classification
Problems". Proceedings of the 2008 IEEE Congress on Evolutionary
Computation.. IEEE Press. Hong Kong. June 2008. pp. 2816-2823.
Huayang Xie, Mengjie Zhang, Peter Andreae. "An Analysis of the
Distribution of Swapped Subtree Sizes in Tree-based Genetic
Programming". Proceedings of the 2008 IEEE Congress on
Evolutionary Computation.. IEEE Press. Hong Kong. June
2008. pp. 2864-2971.
Krzysztof Krawiec, Daniel Howard, Mengjie Zhang. "Overview of
Object Detection and Image Analysis by Means of Genetic Programming
Techniques". Proceedings of the 2007 International Conference
Frontiers in the Convergence of Bioscience and Information
Technologies (FBIT 2007). IEEE Press. Jeju Island, Korea, October
11-13, 2007. pp. 779-784.
Huayang Xie, Mengjie Zhang, Peter Andreae. "Genetic Programming
for New Zealand CPI Inflation Prediction". Proceedings of the
2007 IEEE Congress on Evolutionary Computation. IEEE Press.
Singapore. 2007. pp. 2538-2545.
Huayang Xie, Mengjie Zhang, Peter Andreae. "An Analysis of Depth
of Crossover Points in Tree-based Genetic Programming".
Proceedings of the 2007 IEEE Congress on Evolutionary
Computation. IEEE Press. Singapore. 2007. pp. 4561-4568.
Phillip Wong, Mengjie Zhang. "Effects of Program Simplification
on Simple Building Blocks in Genetic Programming ". Proceedings
of the 2007 IEEE Congress on Evolutionary Computation. IEEE
Press. Singapore. 2007. pp. 1570-1577.
Huayang Xie, Mengjie Zhang, Peter Andreae. "Another Investigation
on Tournament Selection: Modeling and Visualisation". Genetic and
Evolutionary Computation Conference (GECCO'07). ACM
Press. 2007. pp. 1468-1475.
Huayang Xie, Mengjie Zhang, Peter Andreae. "An Analysis of
Constructive Crossover and Selection Pressure in Genetic
Programming". Genetic and Evolutionary Computation Conference
(GECCO'07). ACM Press. 2007. pp. 1739-1746.
Phillip Wong, Mengjie Zhang. "Numerical-Node Building Block
Analysis of Genetic Programming with Simplification". Genetic
and Evolutionary Computation Conference (GECCO'07). ACM Press.
2007. pp. 1761.
Le Phone Bao Vuong, Xiaoying Gao, Mengjie Zhang. "Data Extraction
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