The papers here are for faster dissemination and academic research convinence purpose only, and the copyright of the final papers belongs to the corresponding publishers !

You can also find my publications from [Google Scholar]; [DBLP]

Refereed Journal Articles


  1. Ruwang Jiao, Bing Xue and Mengjie Zhang."A Multiform Optimization Framework for Constrained Multi-Objective Optimization", IEEE Transactions on Cybernetics, vol. , no. , pp., 2022 (Accepted May 2022) [http]
  2. 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, vol. , no. , pp., 2022. (Accepted May 2022) [http]
  3. Ying Bi, Bing Xue, and Mengjie Zhang."Multitask Feature Learning as Multiobjective Optimisation: A New Genetic Programming Approach to Image Classification", IEEE Transactions on Cybernetics, vol. , no. , pp., 2022. (Accepted May 2022) [http]
  4. Peng Wang."Differential Evolution Based Feature Selection: A Niching-based Multi-objective Approach", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2022. (Accepted April 2022) [http]
  5. Qinglan Fan, Ying Bi, Bing Xue, and Mengjie Zhang."Genetic Programming for Image Classification: A New Program Representation with Flexible Feature Reuse", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2022. (Accepted April 2022) [http]
  6. Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu."An Object-based Genetic Programming Approach for Cropland Field Extraction", Remote Sensing, vol. 14 , no. 5 , pp.1275, 2022. [http]
  7. Kosisochukwu Madukwe, Xiaoying Gao, and Bing Xue."Token Replacement-based Data Augmentation Methods for Hate Speech Detection", World Wide Web, vol. , no. , pp., 2022 (DOI: 10.1007/s11280-022-01025-2) [http]
  8. Cuie Yang, Yiu-ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, and Mengjie Zhang."Contrastive Learning Assisted Alignment for Partial Domain Adaptation", IEEE Transactions on Neural Networks and Learning Systems, vol. , no. , pp., 2022 (DOI: 10.1109/TNNLS.2022.3145034) (accepted Jan 2022). [http]
  9. Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue and Mengjie Zhang ."BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2022. (DOI: 10.1109/TEVC.2022.3147526) [http]
  10. Qurrat Ul Ain, Harith Al-Sahaf, BingXue and MengjieZhang."Genetic Programming for Automatic Skin Cancer Image Classification", Expert Systems with Applications , vol. 197, no. , pp.116680, 15 pages 2022. [http]
  11. Yanan Sun, Ziyao Ren, Gary G. Yen, Bing Xue, Mengjie Zhang,and Jiancheng Lv."ArcText: An Unified Text Approach to Describing Convolutional Neural Network Architectures", IEEE Transactions on Artificial Intelligence, vol. , no. , pp., Accepted Nov 2021 (DOI: 10.1109/TAI.2021.3128502). [http]
  12. Emrah Hancer, Bing Xue, and Mengjie Zhang."Fuzzy filter cost-sensitive feature selection with differential evolution", Knowledge-Based Systems, vol. 241 , no. , pp.108259, 9 pages, 2022. [http]
  13. Ying Bi, Bing Xue, and Mengjie Zhang."Using a small number of training instances in genetic programming for face image classification", Information Sciences, vol. 593 , no. , pp. 488-504, 2022. [http]
  14. Qinglan Fan, Ying Bi, Bing Xue, and Mengjie Zhang."Genetic programming for feature extraction and construction in image classification", Applied Soft Computing, vol. 118 , no. , pp. 108509, 13 pages, 2022. [http]
  15. Ke Chen, Bing Xue, Mengjie Zhang, and Fengyu Zhou."Correlation-Guided Updating Strategy for Feature Selection in Classification with Surrogate-Assisted Particle Swarm Optimisation", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2021. (DOI: 10.1109/TEVC.2021.3134804) [http]
  16. Peng Wang, Bing Xue, Jing Liang and Mengjie Zhang."Multi-objective Differential Evolution for Feature Selection in Classification", IEEE Transactions on Cybernetics, vol. , no. , pp. 1-15, 2021. (DOI: 10.1109/TCYB.2021.3128540) [http]
  17. Ying Bi, Bing Xue and Mengjie Zhang."Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification", IEEE Transactions on Cybernetics, vol. , no. , pp. -, 2021. DOI: 10.1109/TCYB.2021.3105696 [http]
  18. Andrew Lensen, Bing Xue and Mengjie Zhang."Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly-Constrained Expensive Optimization", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2021. DOI: 10.1109/TEVC.2021.3106672 [http]
  19. Ruwang Jiao, Bing Xue and Mengjie Zhang."Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly-Constrained Expensive Optimization", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2021. DOI: 10.1109/TEVC.2021.3120980 [http]
  20. Wenbin Pei, Bing Xue, Lin Shang, and 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, no. 1, pp.99–129., 2022. [http]
  21. Liu, Yuqiao; Sun, Yanan; Xue, Bing; Zhang, Mengjie; Yen, Gary; Tan, Kay Chen. "A Survey on Evolutionary Neural Architecture Search", IEEE Transactions on Neural Networks and Learning Systems, vol. , Issue , pp., 2021 (DOI: 10.1109/TNNLS.2021.3100554) [http]
  22. Ying Bi, Bing Xue and Mengjie Zhang."Dual-Tree Genetic Programming for Few-Shot Image Classification", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2021. (DOI: 10.1109/TEVC.2021.3100576) [http]
  23. Feng Chen, Jiangshu Wei, BingXue, and Mengjie Zhang."Feature fusion and kernel selective in Inception-v4 network", Applied Soft Computing, vol. 119, no. , pp.108582, 9 pages, 2021. [http]
  24. Ke Chen, Bing Xue, Mengjie Zhang, and Fengyu Zhou."Evolutionary Multitasking for Feature Selection in High-dimensional Classification via Particle Swarm Optimisation", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2021. (DOI: 10.1109/TEVC.2021.3100056) [http]
  25. Ying Bi, Bing Xue and Mengjie Zhang."Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning", IEEE Transactions on Evolutionary Computation, vol. , no. , pp., 2021. (DOI: 10.1109/TEVC.2021.3097043) [http]
  26. Damien O'Neill, Bing Xue and Mengjie Zhang."Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks", IEEE Transactions on Evolutionary Computation, Issue. 6, pp.1118 - 1132, 2021. ( Research Frontier paper in IEEE CIS Newsletter, Issue 108, Jan 2022 ) [http]
  27. 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, pp.1049 - 1063, 2021. [http]
  28. Yi Liu, Will N. Browne and Bing Xue ."A comparison of Rule Compaction Algorithms for Michigan Style Learning Classifier Systems", ACM Transactions on Evolutionary Learning and Optimization, vol. 1, Issue. 3, pp.1–38, 2021. (to appear) [http]
  29. Ying Bi, Bing Xue and Mengjie Zhang."A Divide-and-Conquer Genetic Programming Algorithm with Ensembles for Image Classification", IEEE Transactions on Evolutionary Computation, vol. 25, Issue. 6, pp. 1148 - 1162, 2021. [http]
  30. Wenbin Pei, Bing Xue, Lin Shang, and Mengjie Zhang."Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification ", IEEE Computational Intelligence Magazine, Vol. 16, Issue 1, pp. 84-98, 2021 ( Research Frontier paper in IEEE CIS Newsletter, May 2020 ) [http]
  31. Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, and Shuting Wan."Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis", IEEE Computational Intelligence Magazine, vol. 16, Issue. 3, pp. 79 - 94, 2021. [http]
  32. 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, pp.115726, 2021. 13pps [http]
  33. Qi Chen and Bing Xue."Generalisation in Genetic Programming for Symbolic Regression: Challenges and Future Directions", Women in Computational Intelligence, vol. , no. , pp. , 2021. [http]
  34. Ying Bi, Bing Xue and Mengjie Zhang."Genetic Programming with A New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification", IEEE Transactions on Cybernetics, vol. 51, no. 4, pp.1769-1783, 2021. [http]
  35. Wenlong Fu, Bing Xue, Xiaoying Gao, and Mengjie Zhang."Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features", Applied Soft Computing, Vol. 103, pp. 107172, 2021. 11pps [http]
  36. Anda Li, Bing Xue, and Mengjie Zhang."Improved Binary Particle Swarm Optimization for Feature Selection with New Initialization and Search Space Reduction Strategies", Applied Soft Computing, Vol. 101, pp. 106989, 2021. 19pps [http]
  37. Ying Bi, Bing Xue, and Mengjie Zhang."Multi-Objective Genetic Programming for Feature Learning in Face Recognition", Applied Soft Computing, Vol.103 , pp.107152, 2021. 14pps [http]
  38. Bin Wang, Bing Xue, and Mengjie Zhang. "Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification", IEEE Transactions on Neural Networks and Learning Systems, vol. , no. , pp. , 2021. accepted Jan 2021, 14pps [http]
  39. Baligh Mohammed 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, no. , pp. 5993 - 6012, 2021 [http]
  40. Qi Chen and Bing Xue and Mengjie Zhang."Genetic Programming for Instance Transfer Learning in Symbolic Regression", IEEE Transactions on Cybernetics, vol. 52, issue. 1, pp.25 - 38, 2022. [http]
  41. Ying Bi, Bing Xue and Mengjie Zhang."Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification", IEEE Transactions on Cybernetics, vol. , issue. , pp., 2021. Accepted Jan 2021 14pp [http]
  42. Qi Chen, Bing Xue, and Mengjie Zhang. "Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression", IEEE Transactions on Evolutionary Computation, vol. 15, issue 4, pp.433 - 447, 2021. [http]
  43. Wenbin Pei, Bing Xue, Lin Shang, and Mengjie Zhang."Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification", Applied Soft Computing, Vol. 101, pp. 106989, 2021. [http]
  44. Bo Peng, Shuting Wan, Ying Bi, Bing Xue, and Mengjie Zhang."Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis", IEEE Transactions on Cybernetics, vol. 51, Issue. 10, pp.4909 - 4923, 2021. [http]
  45. Yi Liu, Will N. Browne, and Bing Xue. "Visualizations for Rule-Based Machine Learning", Natural Computing, vol. , no. , pp. 1-22, 2021 (accepted Dec 2020). [http]
  46. Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, and Mengjie Zhang. "Automatically Evolving Texture Image Descriptors using the Multi-tree Representation in Genetic Programming using Few Instances", Evolutionary Computation Journal (MIT Press), vol. 25, pp. 1-34, 2020. [http]
  47. Ke Chen, Bing Xue, Mengjie Zhang, and Fengyu Zhou."An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification", IEEE Transactions on Cybernetics, vol. , no. , pp., 2020. (DOI: 10.1109/TCYB.2020.3042243) 15pp [http]
  48. Wenlong Fu, Bing Xue, Xiaoying Gao, and Mengjie Zhang. "Output-based Transfer Learning in Genetic Programming for Document Classification", Knowledge-Based Systems, vol. 212, num , pp.106597: , 2021. 11pp [http]
  49. Hang Xu , Bing Xue , Mengjie Zhang. "A Duplication Analysis Based Evolutionary Algorithm for Bi-objective Feature Selection", IEEE Transactions on Evolutionary Computation, vol. 15, Issue. 2 , pp. 205 - 218, 2021. (accepted Aug 2020) 14pp [http]
  50. Qi Chen and Bing Xue and Mengjie Zhang."Rademacher Complexity for Enhancing the Generalisation of Genetic Programming for Symbolic Regression", IEEE Transactions on Cybernetics, vol. , no. , pp., 2020. (DOI: 10.1109/TCYB.2020.3004361) [http]
  51. Ying Bi, Bing Xue, and Mengjie Zhang. "Genetic Programming with Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification", IEEE Transactions on Evolutionary Computation, vol. 25, Issue. 1, pp. 87 - 101, 2021. [http]
  52. Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang. "A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation", IEEE Transactions on Cybernetics, vol. 51, Issue. 12, pp. 6319 - 6332, 2021. [http]
  53. Andrew Lensen, Mengjie Zhang, and Bing Xue. "Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization", IEEE Transactions on Cybernetics, vol. 5, Issue. 11, pp. 5468 - 5482, 2021. [http]
  54. Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang. "Generating Knowledge-guided Discriminative Features Using Genetic Programming for Melanoma Detection", IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, Issue. 4, pp. 554 - 569, 2021 [http]
  55. 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. 5 , Issue. 2 , pp.589 – 603, 2021. [http]
  56. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Jiancheng Lv. "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification", IEEE Transactions on Cybernetics, vol. 50, Issue. 9, pp. 3840 - 3854, 2020. [http]
  57. Miao Lu, Wenbin Wu, Liangzhi You, Linda See, Steffen Fritz, Qiangyi Yu, Yanbing Wei, Di Chen, Peng Yang, Bing Xue. "A cultivated planet in 2010: 1. Generating the global synergy cropland map", Earth System Science Data (ESSD), vol. 12, Issue. 3, pp. 1913–1928, 2020. [http]
  58. Wenbin Pei, Bing Xue, Lin Shang, and Mengjie Zhang. "Genetic Programming for High-Dimensional Imbalanced Classification with A New Fitness Function and Program Reuse Mechanism", Soft Computing, vol. 24, Issue. 23, pp.18021 - 18038 , 2020. [http]
  59. An-da Li, Bing Xue, and Mengjie Zhang. "Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection", Information Sciences, vol. 523, pp.245-265, 2020. [http]
  60. Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, and FengyuZhou "A survey on swarm intelligence approaches to feature selection in data mining", Swarm and Evolutionary Computation, vol. 54, num , pp 100663:1-30. , 2020. (doi.org/10.1016/j.swevo.2020.100663), 33pp [http]
  61. Ke Chen, Bing Xue, Mengjie Zhang, and FengyuZhou "Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks", Knowledge-Based Systems, vol. 194, num , pp.105568: , 2020. 19pp [http]
  62. 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, pp. 65 - 77, 2020. [http]
  63. Emrah Hancer, Bing Xue, and Mengjie Zhang. "A survey on feature selection approaches for clustering", Artificial Intelligence Review, vol. 53, no. , pp. 4519–4545, 2020 [http]
  64. Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, and Fangqing Gu. "Multi-objective Multi-tasking Optimization Based on Incremental Learning", IEEE Transactions on Evolutionary Computation, vol. 24 , no. 5, 2019. pp. 824 - 838, 2020 [http]
  65. Andrew Lensen, Mengjie Zhang, and Bing Xue. "Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality", Genetic Programming and Evolvable Machines, vol. 21 , Issue. , pp.399–431 , 2020. [http]
  66. Yanli Wang, Jing Liang, Bing Xue, and Caitong Yue, "Research on Evolutionary Computation for Feature Selection", Journal of Zhengzhou University(Engineering Science). Vol. 1, No. 06. 2020. pp.49-57. (In Chinese). [http]
  67. Andrea De Lorenzo, Alberto Bartoli, Mauro Castelli, Eric Medvet, and Bing Xue. "Genetic programming in the 21st century: a bibliometric and content-based analysis from both sides of the fence", Genetic Programming and Evolvable Machines, vol. 21, no. 1-2, pp. 531–561, 2020. [http]
  68. Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. 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, no. 2, pp.350 - 364, 2020. DOI: 10.1109/TEVC.2019.2924461 [http]
  69. Andrew Lensen, Bing Xue, Mengjie Zhang. "Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis", Evolutionary Computation Journal (MIT Press). vol. 28, no. 4, pp. 531–561, 2020. DOI: 10.1162/evco_a_00264. 2019 [http]
  70. Jianbin Ma, Bing Xue, and Mengjie Zhang, "A Hybrid Filter-Wrapper Feature Selection Approach for Authorship Attribution",  International Journal of Innovative Computing, Information and Control, Vol. 15, NO. 5, pp. 1–1812-058, 2019. [http]
  71. Yu Xue, Bing Xue, and Mengjie Zhang. "Self-adaptive Particle Swarm Optimization for Large-scale Feature Selection in Classification", ACM Transactions on Knowledge Discovery from Data, vol. 13, Issue. 5, pp. , 2019. pp. 1–27 [http]
  72. Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, and Mengjie Zhang (Alphabetical Order). "A survey on evolutionary machine learning", Journal of the Royal Society of New Zealand, vol.49, Issue 2, pp 205-228, 2019. DOI:10.1080/03036758.2019.1609052 [http] [pdf] [BibTex] Royal Society Newsletters 1046: "The future of artificial intelligence: evolutionary computation", 09 May 2019
  73. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen. "Completely Automated CNN Architecture Design Based on Blocks", IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 4, pp. 1242 - 1254, 2020. DOI: 10.1109/TNNLS.2019.2919608 ( Research Frontier paper in IEEE CIS Newsletter, May 2020 ) [http] [pdf] [BibTex]
  74. 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, no. 1, pp.170 - 184, 2019. DOI: 10.1109/TEVC.2019.2913831 [http] [pdf] [Supplementary Materials] [BibTex]
  75. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen. "Evolving Deep Convolutional Neural Networks for Image Classification", IEEE Transactions on Evolutionary Computation, vol. 24, no. 2, pp.394 - 407, 2020. DOI: 10.1109/TEVC.2019.2916183 ( Research Frontier paper in IEEE CIS Newsletter, June 2020 ) [http] [pdf] [BibTex]
  76. 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, vol. 30, Issue. 7, pp. 1294–1307, 2019. pp. Doi.org/10.1007/s13361-019-02196-5. [http] [pdf] [BibTex]
  77. Muhannad Iqbal, Harith Al-Sahaf, Bing Xue, Mengjie Zhang. "Genetic Programming with Transfer Learning for Texture Image Classification", Soft Computing, vol. 23, no. , pp. 12859–12871, 2019. Doi:10.1007/s00500-019-03843-5. [http] [pdf] [BibTex]
  78. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen. "A New Two-stage Evolutionary Algorithm for Many-objective Optimization", IEEE Transactions on Evolutionary Computation, vol. 23, Issue. 5, pp. 748 - 761, 2018. DOI: 10.1109/TEVC.2018.2882166 [http] [pdf] [BibTex]
  79. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. 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, pp.2295 - 2309, 2019. DOI: 10.1109/TNNLS.2018.2881143. [http] [pdf] [BibTex]
  80. Qi Chen and Bing Xue and Mengjie Zhang. "Structural Risk Minimisation-Driven Genetic Programming for Enhancing Generalisation in Symbolic Regression", IEEE Transactions on Evolutionary Computation, vol.23, Issue 4, pp. 703--717 , 2019. DOI: 10.1109/TEVC.2018.2881392. ( Research Frontier paper in IEEE CIS Newsletter, November 2019 ) [http] [pdf] [BibTex]
  81. Binh Tran and Bing Xue and Mengjie Zhang. "Genetic programming for multiple-feature construction on high-dimensional classification", Pattern Recognition, vol. 93, pp. 404-417, 2019. [http] [pdf] [BibTex]
  82. Qi Chen, Bing Xue, and Mengjie Zhang. "Improving Generalisation of Genetic Programming for Symbolic Regression with Angle-Driven Geometric Semantic Operators", IEEE Transactions on Evolutionary Computation, vol. 23, pp. 488-502, 2019. [http] [pdf] [BibTex]
  83. Binh Tran and Bing Xue and Mengjie Zhang. "Variable-Length Particle Swarm Optimisation for Feature Selection on High-Dimensional Classification", IEEE Transactions on Evolutionary Computation, Vol. 23, pp 473-487, 2019. pp 473-487. [http] [pdf] [BibTex]
  84. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, and Lam Thu Bui."Improving Performance of Classification on Incomplete Data Using Feature Selection and Clustering", Applied Soft Computing, Vol. 73, pp. 848-861, 2018. [http] [pdf] [BibTex]
  85. Ying Bi, Bing Xue, and 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). [http] [pdf] [BibTex]
  86. Wenlong Fu, Bing Xue, Mengjie Zhang, and Mark Johnston. "Fast Unsupervised Edge Detection using Genetic Programming", IEEE Computational Intelligence Magazine, vol. 13, num 4, pp. 46-58, 2018. [http] [pdf] [BibTex]
  87. Su Nguyen, Yi Mei, Bing Xue, Mengjie Zhang. "A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules", Evolutionary Computation Journal (MIT Press), Jun 4:1-31. [http] [pdf] [BibTex]
  88. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, and Lam Thu Bui. "An Effective and Efficient Approach to Classification with Incomplete Data", Knowledge-Based Systems, vol. 154, 16 pp.1-16, 2018. [http] [pdf] [BibTex]
  89. Hoai Bach Nguyen, Bing Xue, and Peter Andreae. "PSO with Surrogate Models for Feature Selection: Static and Dynamic Clustering-based Methods", Memetic Computing, vol. 10, pp. 291-300, 2018 [http] [pdf] [BibTex]
  90. Emrah Hancer, BingXue, and Mengjie Zhang."Differential Evolution for Filter Feature Selection Based on Information Theory and Feature Ranking", Knowledge-Based Systems, vol. 140, pp. 103 - 119, 2018. [http] [pdf] [BibTex]
  91. Emrah Hancer, BingXue, Mengjie Zhang, Dervis Karaboga and Bahriye Akay."Pareto front feature selection based on artificial bee colony optimization", Information Sciences, vol. 422, pp.462-479, 2018. [http] [pdf] [BibTex]
  92. Binh Tran and Bing Xue and Mengjie Zhang."A New Representation in PSO for Discretisation-Based Feature Selection", IEEE Transactions on Cybernetics, vol. 48, no. 6, pp.1733-1746, 2018. [http] [pdf] [BibTex]
  93. 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, vol. 1, no. 5, pp. 339-353, 2017. [http] [pdf] [BibTex]
  94. Qi Chen, Mengjie. Zhang, and Bing. Xue. "Feature Selection to Improve Generalisation of Genetic Programming for High-Dimensional Symbolic Regression", IEEE Transactions on Evolutionary Computation, vol. 21, no. 5, pp. 792-806, 2017. doi:10.1109/TEVC.2017.2683489. [http] [pdf] [BibTex]
  95. Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. "Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification", IEEE Transactions on Evolutionary Computation, vol. 21, no. 4, pp. 569-587, 2017. DOI: 10.1109/TEVC.2017.2657556 [http] [pdf] [BibTex]
  96. Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, and Mengjie Zhang."Automatically Evolving Rotation-invariant Texture Image Descriptors by Genetic Programming", IEEE Transactions on Evolutionary Computation, vol. 21, no. 1, pp. 83-101, 2017 [http] [pdf] [BibTex]
  97. Bing Xue and Mengjie Zhang."Evolutionary Feature Manipulation in Data Mining/Big Data", ACM SIGEVOlution, Vol. 10, Issue 1, pp. 4-11, March 2017. [http] [pdf] [BibTex]
  98. Bing Xue."Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms", Genetic Programming and Evolvable Machines, Vol. 18, Issue , pp. 407-409, 2017, Doi:10.1007/s10710-017-9306-z. [http] [pdf] [BibTex]
  99. Hoai Bach Nguyen, Bing Xue, Peter Andreae. "Mutual Information for Feature Selection: Estimation or Counting?", Evolutionary Intelligence, vol. 9, no. 3, pp. 95-110, 2016. [http] [pdf] [BibTex]
  100. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. "Improving performance for classification with incomplete data using wrapper-based feature selection", Evolutionary Intelligence, vol. 9, no. 3, pp. 81-94, 2016. [http] [pdf] [BibTex]
  101. Bing Xue, Mengjie Zhang, Will Browne, Xin Yao. "A Survey on Evolutionary Computation Approaches to Feature Selection", IEEE Transactions on Evolutionary Computation, vol. 20, no. 4, pp. 606-626, Aug. 2016. doi: 10.1109/TEVC.2015.2504420. (one of the Most Popular Articles in TEVC from 2017) [http] [pdf] [BibTex]
  102. 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, no. 3, pp. 270-294, 2016. [http] [pdf] [BibTex]
  103. 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, vol. 20, no. 10, pp. 3927-3946, 2016. [http] [pdf] [BibTex]
  104. Binh Tran, Bing Xue and Mengjie Zhang. "Genetic Programming for Feature Construction and Selection in Classification on High-dimensional Data", Memetic Computing, vol 8, no. 1, Issue 1, pp3-15. 2016 [http] [pdf] [BibTex]
  105. 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 (1-23). (DOI: 10.1142/S146902681550008X). [http] [pdf] [BibTex]
  106. Emrah Hancer, Bing Xue, Dervis Karaboga, Mengjie Zhang."A binary ABC algorithm based on advanced similarity scheme for feature selection", Applied Soft Computing, Vol. 36, ISSN 1568-4946, pp. 334-348, 2015. [http] [pdf] [BibTex]
  107. 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, pp. 261--276, 2014. [http] [pdf] [BibTex]
  108. 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, No. 2 (2014). pp. 1450009(1-34). (DOI: 10.1142/S1469026814500096). [http] [pdf] [BibTex]
  109. Bing Xue, Mengjie Zhang, Will Browne."Particle swarm optimization for feature selection in classification: A multi-objective approach", IEEE Transactions on Cybernetics, vol. 43, no. 6, pp. 1656-1671, 2013. (one of the Most Cited Articles in Cybernetics since 2015) [http] [pdf] [BibTex]
  110. 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 - 31. DOI: 10.1142/S0218213013500243. [http] [pdf] [BibTex]
  111. 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, pp. 91-116, 2012. [http] [pdf] [BibTex]
  112. Ben Niu, Yan Fan, Han Xiao, Bing Xue."Bacterial foraging based approaches to portfolio optimization with liquidity risk". Neurocomputing. Vol. 98, 03 December 2012. pp. 90-100. [http] [pdf] [BibTex]


Edited Journal Special Issues, and Conference Proceedings

  1. Bing Xue and Mykola Pechenizkiy. Proceedings of IEEE International Conference on Data Mining Workshops (ICDM Workshops). IEEE. Auckland, New Zealand, 7-10 December 2021, pp. 27 - 28 (DOI: 10.1109/ICDMW53433.2021.00006) [http]
  2. Weiping Ding, Witold Pedrycz, Gary G. Yen, and Bing Xue. "Guest editorial: Special Issue on Evolutionary Computation Meets Deep Learning ". IEEE Transactions on Evolutionary Computation, Vol. 25, Issue.5, pp. 810-814. 2021. DOI: 10.1109/TEVC.2021.3096336 [http]
  3. Tanja Mitrovic, Bing Xue, Xiaodong Li. Proceedings of the 2018 31st Australasian Joint Conference on Artificial Intelligence. Springer Press. Wellington, New Zealand, December 11-14, 2018, LNCS/LNAI Volume 11320
  4. Bing Xue, Stefano Cagnoni, Mengjie Zhang. "Guest editorial: . Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition", Applied Soft Computing (Journal), Elsevier, accepted 2017
  5. Mario Koeppen, Bing Xue, Hideyuki Takagi, Ajith Abraham, Azah Kamilah Muda, Kun Ma. Proceedings of the 2015 Seventh International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015). IEEE Press. 368pp + xx. Fukuoka, Japan. 13-15 November 2015. ISBN: 978-1-4673-9360-7
  6. Bing Xue, Gang Chen. "Guest editorial: special issue on evolutionary optimization, feature reduction and learning". Special Issue on Evolutionary Optimisation, Feature Reduction and Learning, Soft Computing (Journal), Springer, online August 15, 2016. pp. DOI:10.1007/s00500-016-2285-9


Authoured Books

  1. Ying Bi, Bing Xue, and Mengjie Zhang. "Genetic Programming for Image Classification: An Automated Approach to Feature Learning, Springer International Publishing 2021, DOI: https:doi.org10.1007978-3-030-65927-1, [Code] [http]


Refereed Book Chapters and LNCS/LNAI Publications

  1. 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., Madrid, Spain. 20-22 April 2022. pp. . [http]
  2. 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". Proceeding of the 25th European Conference on Applications of Evolutionary Computation (EvoApplications 2022). Lecture Notes in Computer Science. Vol., Madrid, Spain. 20-22 April 2022. pp. . [http]
  3. Gonglin Yuan, Bing Xue and Mengjie Zhang. "A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification". The 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2021). Lecture Notes in Computer Science. Vol. 13031, virtually in Hanoi, Vietnam between November 8-12, 2021. pp. 469-484 [http]
  4. Kosisochukwu Judith Madukwe, Xiaoying Gao and Bing Xue. "What Emotion is Hate? Incorporating Emotion Information into the Hate Speech Detection Task". The 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2021). Lecture Notes in Computer Science. Vol. 13032, virtually in Hanoi, Vietnam between November 8-12, 2021. pp. 273-286. [http]
  5. Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang and Bing Xue. "MGEoT: A Multi-Grained Ensemble Method for Time Series Classification". The 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2021). Lecture Notes in Computer Science. Vol. 13031, Springer, Cham, virtually in Hanoi, Vietnam, 8-12 November 2021. pp. 397-410 [http]
  6. Peng Wang, Bing Xue, Jing Liang and Mengjie Zhang. "Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification". Proceeding of the 23th European Conference on Applications of Evolutionary Computation (EvoApplications 2021). Lecture Notes in Computer Science. Vol.12694 , Springer, Cham, 7-9 April 2021. pp. 489-505. [http]
  7. Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Genetic Programming-based Selection of Imputation Methods in Symbolic Regression with Missing Values". Proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence (AJCAI 2020), Lecture Notes in Computer Science. Vol. 12576. Springer. Adelaide, SA, Australia, December 2-5, 2019. pp. 163-175. [http]
  8. Ying Bi, Bing Xue, and Mengjie Zhang. "Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming". The Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN 2020). Lecture Notes in Computer Science. Vol.12269, Leiden, The Netherlands, 5-9 September 2020. pp. 3-18. [http]
  9. 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 23th European Conference on Genetic Programming (EuroGP 2020). Lecture Notes in Computer Science. vol 12101. Springer, Spain 15-17 April 2020. pp. 1-17. [http]
  10. Wang, Bin, Bing Xue, and Mengjie Zhang. "Particle swarm optimization for evolving deep convolutional neural networks for image classification: single-and multi-objective approaches." Deep Neural Evolution – Deep Learning with Evolutionary Computation. Springer, Singapore, 2020. 155-184. [http]
  11. Hedwig Eisenbarth, Caitlin Heesterman, Tim Gastrell, and Bing Xue. "Systemic Testing of Machine Learning Algorithms Predicting Subjective Arousal and Valence Ratings from Psychophysiological Activity". In PSYCHOPHYSIOLOGY, vol. 56, pp. S106-S106. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2019. [http]
  12. Juhini Desai, Bach Nguyen and Bing Xue. "Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms". Proceedings of the 32st Australasian Joint Conference on Artificial Intelligence (AI2019), Lecture Notes in Computer Science. Vol. 11919. Springer. Adelaide, SA, Australia, December 2-5, 2019. pp. 510-522. [http]
  13. 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 32st Australasian Joint Conference on Artificial Intelligence (AI2019), Lecture Notes in Computer Science. Vol. 11919. Springer. Adelaide, SA, Australia, December 2–5, 2019. pp. 523-535. [http]
  14. Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Genetic Programming-based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data". The 5th Asian Conference on Pattern Recognition (ACPR 2019). Lecture Notes in Computer Science. Vol.12047 , Auckland, New Zealand. 26-29 November 2019. pp. 566-579. [http]
  15. 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". The 5th Asian Conference on Pattern Recognition (ACPR 2019). Lecture Notes in Computer Science. Vol.12047 , Auckland, New Zealand. 26-29 November 2019. pp. 449-463. [http]
  16. 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". The 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019). Lecture Notes in Computer Science. Springer, Cham. Vol. 11672, Cuvu, Feiji. 26-30 August 2019. pp650-663. [http]
  17. 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 (PRICAI 2019). Lecture Notes in Computer Science. Springer, Cham. Vol. 11672, Cuvu, Feiji. 26-30 August 2019. pp 474-487. [http]
  18. Andrew Lensen, Bing Xue, and Mengjie Zhang. "Can Genetic Programming Do Manifold Learning Too?". Proceedings of the 22th European Conference on Genetic Programming (EuroGP 2019). Lecture Notes in Computer Science. Vol.11451, Leipzig, Germany. 24-26 April 2019. pp.114-130. (Best Paper Award ) [http] [pdf] [BibTex]
  19. Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang. "Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection". Proceeding of the 22th European Conference on Applications of Evolutionary Computation (EvoApplications 2019). Lecture Notes in Computer Science. Vol.11454, Leipzig, Germany. 24-26 April 2019. pp. 308-324. [http] [pdf] [BibTex]
  20. Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng. "GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm". Proceeding of the 22th European Conference on Applications of Evolutionary Computation (EvoApplications 2019). Lecture Notes in Computer Science. Vol.11454, Leipzig, Germany. 24-26 April 2019. pp. 72-89. [http] [pdf] [BibTex]
  21. Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data". Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2019. pp. 643-655. [http] [pdf] [BibTex]
  22. Damien O’Neill, Bing Xue, 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 (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2018. pp. 616-629. [http] [pdf] [BibTex]
  23. Cao Truong Tran, Mengjie Zhang, Bing Xue, 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 (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2018. pp. 577-589. [http] [pdf] [BibTex]
  24. Yi Liu, Will N. Browne, Bing Xue. "Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches". Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2018. pp. 397-409. [http] [pdf] [BibTex]
  25. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang. "A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values". Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2018. pp. 345-357. [http] [pdf] [BibTex]
  26. Ying Bi, Bing Xue, 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 (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2018. pp. 251-257. [http] [pdf] [BibTex]
  27. Bin Wang, Yanan Sun, Bing Xue, 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 (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2018. pp. 237-250. [http] [pdf] [BibTex]
  28. Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, 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 (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2018. pp. 209-215. [http] [pdf] [BibTex]
  29. Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, 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 (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand, December 11-14, 2018. pp. 111-123. [http] [pdf] [BibTex]
  30. Zeyu Mi, Lin Shang and Bing Xue. "Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes". Proceedings of the 25th International Conference on Neural Information Processing (ICONIP 2018). Lecture Notes in Computer Science. Vol. Siem Reap, Cambodia. 13-16 December 2018. pp. 486-497. [http] [pdf] [BibTex]
  31. Antonio J. Tallón-Ballesteros, Milan Tuba, Bing Xue and Takako Hashimoto. "Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms". Proceedings of The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018). Lecture Notes in Computer Science. Vol.11315. Madrid, Spain, Nov 21-23. 2018, pp.280-287. [http] [pdf] [BibTex]
  32. Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. "Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification". The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018). Lecture Notes in Computer Science. Vol. 11012. August 28-31, 2018. pp. 732-745 [http] [pdf] [BibTex]
  33. Antonio J. Tallon-Ballesteros, Luis Correia, and Bing Xue. "Featuring the Attributes in Supervised Machine Learning". Proceedings of the International Conference on Hybrid Artificial Intelligence Systems (HAIS 2018). Lecture Notes in Computer Science and Lecture Notes in Artificial Intelligence. Vol.10870. Oviedo, Spain, June 20-22, 2018, pp. 350-362 [http] [pdf] [BibTex]
  34. Andrew Lensen, Bing Xue, and Mengjie Zhang. "Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming". Proceedings of the 21th European Conference on Genetic Programming (EuroGP 2018). Lecture Notes in Computer Science. Vol. Parma, Italy. 4-6 April 2018. pp. 84-100. [http] [pdf] [BibTex]
  35. Yi Liu, Will N. Browne, and Bing Xue. "Adapting Bagging and Boosting to Learning Classifier Systems". Proceeding of the 21th European Conference on Applications of Evolutionary Computation (EvoApplications 2018). Lecture Notes in Computer Science. Vol. Parma, Italy. 4-6 April 2018. pp. 405-420 [http] [pdf] [BibTex]
  36. Ying Bi, Bing Xue, Mengjie Zhang."An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming". Proceeding of the 21th European Conference on Applications of Evolutionary Computation (EvoApplications 2018). Lecture Notes in Computer Science. Vol. Parma, Italy. 4-6 April 2018. pp. 421-438 [http] [pdf] [BibTex]
  37. 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 (SEAL 2017). Lecture Notes in Computer Science. Vol. 10593. Shenzhen, China. November 10-13, 2017. pp. 499-511. (Best Paper Award) [http] [pdf] [BibTex]
  38. Yi Liu, Bing Xue, and Will N. Browne. "Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning". Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017). Lecture Notes in Computer Science. Vol. 10593. Shenzhen, China. November 10-13, 2017. pp. 448-461. [http] [pdf] [BibTex]
  39. Hoai Bach Nguyen, Bing Xue, and Peter Andreae. "A Hybrid GA-GP Method for Feature Reduction in Classification". Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017). Lecture Notes in Computer Science. Vol. 10593. Shenzhen, China. November 10-13, 2017. pp. 591-604. [http] [pdf] [BibTex]
  40. 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 (SEAL 2017). Lecture Notes in Computer Science. Vol. 10593. Shenzhen, China. November 10-13, 2017. pp. 422-434. [http] [pdf] [BibTex]
  41. Binh Tran, Stjepan Picek, and Bing Xue. "Automatic Feature Construction for Network Intrusion Detection". Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017). Lecture Notes in Computer Science. Vol. 10593. Shenzhen, China. November 10-13, 2017. pp. 569-580. [http] [pdf] [BibTex]
  42. 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 (SEAL 2017). Lecture Notes in Computer Science. Vol. 10593. Shenzhen, China. November 10-13, 2017. pp. 556--568. [http] [pdf] [BibTex]
  43. 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 (SEAL 2017). Lecture Notes in Computer Science. Vol. 10593. Shenzhen, China. November 10-13, 2017. pp. 543--555. [http] [pdf] [BibTex]
  44. 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 (AI2017) Lecture Notes in Computer Science. Vol. 10400. Springer. Melbourne, Australia, August 19-20th, 2017. pp. 182-194. [http] [pdf] [BibTex]
  45. Jiatong Huo, Bing Xue, Lin Shang and 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 (AI2017) Lecture Notes in Computer Science. Vol. 10400. Springer. Melbourne, Australia, August 19-20th, 2017. pp. 169-181. [http] [pdf] [BibTex]
  46. 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. 18-21 April 2017. pp.210--226. [http] [pdf] [BibTex]
  47. Qi Chen, Bing Xue, Yi Mei, and Mengjie Zhang. "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. 18-21 April 2017. pp. 229-245. [http] [pdf] [BibTex]
  48. Hoai Bach Nguyen, Bing Xue, and Peter Andreae. "Surrogate-model based Particle Swarm Optimisation with Local Search for Feature Selection in Classification". Proceeding of the 20th European Conference on Applications of Evolutionary Computation (EvoApplications 2017) Part I, Lecture Notes in Computer Science. Vol. 10199. Amsterdam. 18-21 April 2017. pp. 487--505 (Nominated as Best Paper) [http] [pdf] [BibTex]
  49. Cao Truong Tran, Mengjie Zhang, Peter Andreae, and Bing Xue. "Bagging and Feature Selection for Classification with Incomplete Data". Proceeding of the 20th European Conference on Applications of Evolutionary Computation (EvoApplications 2017) Part I, Lecture Notes in Computer Science. Vol. 10199. Amsterdam. 18-21 April 2017. pp. 471--486 [http] [pdf] [BibTex]
  50. Andrew Lensen, Bing Xue, and 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 Applications of Evolutionary Computation (EvoApplications 2017) Part I, Lecture Notes in Computer Science. Vol. 10199. Amsterdam. 18-21 April 2017. pp. 538--554 [http] [pdf] [BibTex]
  51. 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 (PRICAI 2016). Lecture Notes in Computer Science. Vol. 9810. August 22-26, 2016. pp. 588-602 [http] [pdf] [BibTex]
  52. Muhammad Iqbal, Mengjie Zhang and Bing Xue. "Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems". Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016) . Lecture Notes in Computer Science. Vol. 9652. Auckland, New Zealand, April 19-22, 2016. pp.117--129 [http] [pdf] [BibTex]
  53. 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. Auckland, New Zealand, April 19, 2016. pp. 33--52 [http] [pdf] [BibTex]
  54. Hoai Bach Nguyen, Bing Xue and Peter Andreae. "Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization". Proceedings of the 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016, EvoIASP 2016). Lecture Notes in Computer Science. Vol. 9597. Porto, Portugal, March 30 - April 1, 2016. pp. 719-736 [http] [pdf] [BibTex]
  55. 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. Porto, Portugal, March 30 - April 1, 2016. pp. 685-700 [http] [pdf] [BibTex]
  56. 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. Porto, Portugal, March 30 - April 1, 2016. pp. 51-67 [http] [pdf] [BibTex]
  57. 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. Porto, Portugal, March 30 - April 1, 2016. pp. 701-718 [http] [pdf] [BibTex]
  58. 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. Porto, Portugal, March 30 - April 1, 2016. pp. 106-122 [http] [pdf] [BibTex]
  59. Hoai bach Nguyen, Bing Xue and Mengjie Zhang. "A Subset Similarity Guided Method for Muti-objective Feature Selection". Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016). Lecture Notes in Computer Science. Vol. 9592. Canberra, Australia. 2-5 February 2016. pp. 198--310 [http] [pdf] [BibTex]
  60. Tony Butler-Yeoman, Bing Xue, and Mengjie Zhang. "Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach". the 13th Australasian Data Mining Conference (AusDM 2015). Lecture Notes in Computer Science. Australian Computer Society Inc. CRPIT, 168. Sydney, 8-9 August 2015.pp.151-159 [http] [pdf] [BibTex]
  61. 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 (EuroApplications 2015). Lecture Notes in Computer Science. Vol. 9028. Copenhagen, Denmark. 8-10 April 2015. pp. 541-553 (Nominated as Best Paper) [http] [pdf] [BibTex]
  62. 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. [http] [pdf] [BibTex]
  63. 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. [http] [pdf] [BibTex]
  64. 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. [http] [pdf] [BibTex]
  65. 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. [http] [pdf] [BibTex]
  66. 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. [http] [pdf] [BibTex]
  67. 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 (EvoCOP 2014). Lecture Notes in Computer Science. Volume 8600, Granada, Spain 23rd - 25th April 2014. pp. 133--144 [http] [pdf] [BibTex]
  68. Bing Xue, Su Nguyen, Mengjie Zhang. "A New Binary Particle Swarm Optimisation Algorithm for Feature Selection". Proceedings of the 17th European Conference on Applications of Evolutionary Computation (EvoApplications 2014). Lecture Notes in Computer Science. Vol. 8602. Granada, Spain 23rd - 25th April 2014. pp. 501-513 [http] [pdf] [BibTex]
  69. Yan Dai, Bing Xue, Mengjie Zhang. "New Representations in PSO for Feature Construction in Classification". Proceedings of the 17th European Conference on Applications of Evolutionary Computation (EvoApplications 2014). Lecture Notes in Computer Science. Vol. 8602. Granada, Spain 23rd - 25th April 2014. pp. 476-488 [http] [pdf] [BibTex]
  70. 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. Vol. 8272. Springer. Dunedin, New Zealand, December 2013. pp. 214-220. [http] [pdf] [BibTex]
  71. 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. [http] [pdf] [BibTex]
  72. 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. [http] [pdf] [BibTex]
  73. 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. [http] [pdf] [BibTex]
  74. 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 [http] [pdf] [BibTex]
  75. Li Li, Bing Xue, Lijing Tan, Ben Niu."Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection". Advanced Intelligent Computing Theories and Applications. Lecture Notes in Computer Science. Vol. 6215, 2010, pp 579-586 [http] [pdf] [BibTex]
  76. Li Li, Bing Xue, Ben Niu, Lijing Tan, Jixian Wang. "A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function". Emerging Intelligent Computing Technology and Applications. Lecture Notes in Computer Science. Vol. 5755. 2009. pp. 785-793. [http] [pdf] [BibTex]
  77. Ben Niu, Bing Xue, Li Li. "Symbiotic Multi-swarm PSO for Portfolio Optimization". Proceedings of the 5th International Conference on Intelligent Computing (ICIC 2009). Vol. 5755. 2009. pp. 776-784. (Best Paper Award) [http] [pdf] [BibTex]


Refereed International Conference Papers

  1. Yunhan Yang, Bing Xue, Linley Jesson, Matthew Wylie, and Mengjie Zhang. "Deep Convolutional Neural Networks for Fish Weight Prediction from Images". Proceedings of 2021 the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ 2021). IEEE Press. Tauranga, New Zealand, 9-10 December, 2021, (DOI: 10.1109/IVCNZ54163.2021.9653412) 6 pages [http]
  2. Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, and Mengjie Zhang. "Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks". Proceedings of 2021 the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ 2021). IEEE Press. Tauranga, New Zealand, 9-10 December, 2021, (DOI: 10.1109/IVCNZ54163.2021.9653412) 6 pages [http]
  3. Hoai Bach Nguyen; Bing Xue; Mengjie Zhang. "Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector". Proceedings of 2021 International Conference on Data Mining Workshops (ICDMW 2021). IEEE Press. Auckland, New Zealand, 7-10 December, pp 833-842, 2021 [http]
  4. Kaan Demir, Bach Nguyen, Bing Xue, and Mengjie Zhang. "Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector". Proceedings of 2021 International Conference on Data Mining Workshops (ICDMW 2021). IEEE Press. Auckland, New Zealand, 7-10 December, pp 823-832, 2021 [http]
  5. Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi, Bing Xue, Ross Vennell and Mengjie Zhang. "Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms". Proceedings of 2021 IEEE Symposium Series on Computational Intelligence (SSCI 2021). IEEE Press. Orlando, FL, USA, 5-7 December, pp 01-08, 2021 (DOI: 10.1109/SSCI50451.2021.9659987) [http]
  6. Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  7. Arka Ghosh, Bing Xue and Mengjie Zhang. "Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  8. Kaan Demir, Bach Nguyen, Bing Xue and Mengjie Zhang. "Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  9. Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue and Mohammad Nekooei. "Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  10. Hayden Andersen, Andrew Lensen and Bing Xue. "Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  11. Hayden Andersen, Sean Stevenson, Tuan Ha, Xiaoying Gao and Bing Xue. "Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  12. Yunhan Yang, Bing Xue, Linley Jesson and Mengjie Zhang. " Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  13. Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Miller, Keith Gordon, Indrawati Oey and Mengjie Zhang. " Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  14. Peng Wang, Bing Xue, Jing Liang and Mengjie Zhang. " A Grid-dominance based Multi-objective Algorithmfor Feature Selection in Classification." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  15. Zichu Yan, Ying Bi, Bing Xue and Mengjie Zhang. "Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  16. Demelza Robinson, Qi Chen, Bing Xue, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang and Wagner Isabella. "Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  17. An-Da Li, Bing Xue and Mengjie Zhang. "A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. [http] [pdf] [BibTex]
  18. Junhao Huang, Bing Xue, Yanan Sun and Mengjie Zhang. "A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design." IEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, 8pp.. (Best Paper Nomination) [http] [pdf] [BibTex]
  19. Wenbin Pei, Bing Xue, Lin Shang, and Mengjie Zhang. "Genetic Programming for Borderline Instance Detection in High-dimensional Unbalanced Classification". Proceedings of 2021 Genetic and Evolutionary Computation Conference (GECCO 2021). ACM Press. Lille, France, July 10-14, 2021, Online-only Conference. pp.. [http] [pdf] [BibTex]
  20. Bin Wang, Wenbin Pei, Bing Xue, and 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 Companion). ACM Press. Lille, France, July 10-14, 2021, Online-only Conference. pp.. [http] [pdf] [BibTex]
  21. Bin Wang, Bing Xue, and 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 Companion). ACM Press. Lille, France, July 10-14, 2021, Online-only Conference. pp.. [http] [pdf] [BibTex]
  22. Christian Raymond, Qi Chen, Bing Xue, and Mengjie Zhang. "Multi-objective Genetic Programming for Symbolic Regression with the Adaptive Weighted Splines Representation". Proceedings of 2021 Genetic and Evolutionary Computation Conference (GECCO 2021 Companion). ACM Press. Lille, France, July 10-14, 2021, Online-only Conference. pp.. [http] [pdf] [BibTex]
  23. Kaan Demir, Qi Chen, Bach Hoai Nguyen, and Mengjie Zhang. "Sparsity-based Evolutionary Multi-objective Feature Selection for Multi-label Classification". Proceedings of 2021 Genetic and Evolutionary Computation Conference (GECCO 2021 Companion). ACM Press. Lille, France, July 10-14, 2021, Online-only Conference. pp.. [http] [pdf] [BibTex]
  24. Qinglan Fan, Ying Bi, Bach Hoai Nguyen, and 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 Companion). ACM Press. Lille, France, July 10-14, 2021, Online-only Conference. pp.. [http] [pdf] [BibTex]
  25. Trevor Londt, Xiaoying Gao, Peter Andreae, and Bing Xue. "Evolving Character-level Convolutional Neural Networks for Text Classification". Proceedings of 2021 Genetic and Evolutionary Computation Conference (GECCO 2021 Companion). ACM Press. Lille, France, July 10-14, 2021, Online-only Conference. pp.. [http] [pdf] [BibTex]
  26. Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue and Mohammad Nekooei, "Evolutionary Design of Long Short Term Memory (LSTM) Ensemble". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). Canberra, Australia, December 1-4, 2020. pp. . [http] [pdf] [BibTex]
  27. Abigail McGhie, Bing Xue and Mengjie Zhang, "GPCNN: Evolving Convolutional Neural Networks using Genetic Programming". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). Canberra, Australia, December 1-4, 2020. pp. 2684-2691. [http] [pdf] [BibTex]
  28. Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang, "Data Imputation for Symbolic Regression with Missing Values: A Comparative Study". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). Canberra, Australia, December 1-4, 2020. pp. 2093-2100. [http] [pdf] [BibTex]
  29. Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang, "GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). Canberra, Australia, December 1-4, 2020. pp. 905-912. [http] [pdf] [BibTex]
  30. Inti Albuquerque, Bach Nguyen, Bing Xue and Mengjie Zhang, "A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). Canberra, Australia, December 1-4, 2020. pp. 616-623. [http] [pdf] [BibTex]
  31. Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue and Mohammad Nekooei, "Evolutionary Design of Long Short Term Memory (LSTM) Ensemble". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). Canberra, Australia, December 1-4, 2020. pp. 897-904. [http] [pdf] [BibTex]
  32. Kosisochukwu Madukwe, Xiaoying Gao and Bing Xue, "A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). Canberra, Australia, December 1-4, 2020. pp. 897-904. [http] [pdf] [BibTex]
  33. Wenxin Zhao, Yanan Sun and Bing Xue, "Improved Bianry Particle Swarm Optimization with Evolutionary Population Dynamic for Key Oncogene Selection". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). Canberra, Australia, December 1-4, 2020. pp. 897-904. [http] [pdf] [BibTex]
  34. Gonglin Yuan, Bing Xue, and Mengjie Zhang, "A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification". 35th International Conference on Image and Vision Computing New Zealand (IVCNZ 2020). Wellington, New Zealand, 25-27 November 2020. pp. 1-6 [http] [pdf] [BibTex]
  35. Kosisochukwu Judith Madukwe, Xiaoying Gao, and Bing Xue. "In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets " The 5th Workshop on Online Abuse and Harms (WOAH). Association for Computational Linguistics, 20 November 2020, pp 150–161. [http]
  36. Kosisochukwu Judith Madukwe, Xiaoying Gao, and Bing Xue. "Dependency-Based Embedding for Distinguishing Between Hate Speech and Offensive Language" WI2020 Workshop on Data Analytics on Social Media (DASM). Melbourne, Australia,17 December 2020, 8pp. [http] [pdf] [BibTex]
  37. Wenbin Pei, Bing Xue, Lin Shang, and Mengjie Zhang. "A Threshold-free Classification Mechanism in Genetic Programming for Unbalanced High-dimensional Classification." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  38. Benjamin Patrick Evans, Bing Xue, and Mengjie Zhang. "An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  39. Baligh Al-Helali, Qi Chen, Bing Xue, and Mengjie Zhangg. "Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  40. Ke Chen, Bing Xue, Mengjie Zhang, and Fengyu Zhou. "Hybridising Particle Swarm Optimisation with Differential Evolution for Feature Selection in Classification." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  41. Bin Wang, Bing Xue, and Mengjie Zhang. "Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  42. 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." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  43. Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, and Mohammad Nekooei. "Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  44. 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." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  45. Qinglan Fan, Bing Xue, and Mengjie Zhang. "A Region Adaptive Image Classification Approach Using Genetic Programming." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  46. Ying Bi, Bing Xue, and Mengjie Zhang. "Genetic Programming-Based Feature Learning for Facial Expression Classification." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  47. Yuqiao Liu, Yanan Sun, Bing Xue, and Mengjie Zhang. "Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising." IEEE World Congress on Computational Intelligence/ International Joint Conference on Neural Networks (WCCI/IJCNN 2020). Glasgow, UK, July 19 - 24th 2020, 8pp.. [http] [pdf] [BibTex]
  48. Christian Raymond, Qi Chen, Bing Xue, and Mengjie Zhang. "Adaptive Weighted Splines - A New Representation to Genetic Programming for Symbolic Regression". Proceedings of 2020 Genetic and Evolutionary Computation Conference (GECCO 2020). ACM Press. Cancun, Mexico. July 8th-12th 2020, 9pp.. [http] [pdf] [BibTex]
  49. Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, and 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). ACM Press. Cancun, Mexico. July 8th-12th 2020, 9pp.. [http] [pdf] [BibTex]
  50. Hang Xu, Bing Xue, and 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). ACM Press. Cancun, Mexico. July 8th-12th 2020, 9pp.. [http] [pdf] [BibTex]
  51. Damien O'Neill, Bing Xue, and Mengjie Zhang. "Neural Architecture Search for Sparse DenseNets with Dynamic Compression". Proceedings of 2020 Genetic and Evolutionary Computation Conference (GECCO 2020). ACM Press. Cancun, Mexico. July 8th-12th 2020, 9pp.. [http] [pdf] [BibTex]
  52. Qi Chen, Bing Xue, and Mengjie Zhang. "Improving Symbolic Regression based on Correlation Between Residuals and Variables". Proceedings of 2020 Genetic and Evolutionary Computation Conference (GECCO 2020). ACM Press. Cancun, Mexico. July 8th-12th 2020, 9pp.. [http] [pdf] [BibTex]
  53. Baligh Al-Helali, Qi Chen, Bing Xue, and 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). ACM Press. Cancun, Mexico. July 8th-12th 2020, 9pp.. [http] [pdf] [BibTex]
  54. Yi Liu, Will N. Browne, and Bing Xue. "Absumption and Subsumption based Learning Classifier Systems". Proceedings of 2020 Genetic and Evolutionary Computation Conference (GECCO 2020). ACM Press. Cancun, Mexico. July 8th-12th 2020, 9pp.. [http] [pdf] [BibTex]
  55. Benjamin Patrick Evans, Bing Xue, and Mengjie Zhang. "Improving generalisation of AutoML systems with dynamic fitness evaluations". Proceedings of 2020 Genetic and Evolutionary Computation Conference (GECCO 2020). ACM Press. Cancun, Mexico. July 8th-12th 2020, 9pp.. [http] [pdf] [BibTex]
  56. Hayden Andersen, Xiaoying Gao, Bing Xue, and Mengjie Zhang. "Evolving Network Structures for Text Classification using Genetic Algorithm". Proceedings of 2020 Genetic and Evolutionary Computation Conference (GECCO 2020) Companion. ACM Press. Cancun, Mexico. July 8th-12th 2020, 2pp.. [http] [pdf] [BibTex]
  57. Ying Bi, Bing Xue, and Mengjie Zhang. "Feature Learning for Face Recognition via Multi-Objective Genetic Programming". Proceedings of 2020 Genetic and Evolutionary Computation Conference (GECCO 2020) Companion. ACM Press. Cancun, Mexico. July 8th-12th 2020, 2pp.. [http] [pdf] [BibTex]
  58. Wenbin Pei, Bing Xue, Lin Shang, and 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. ACM Press. Cancun, Mexico. July 8th-12th 2020, 2pp.. [http] [pdf] [BibTex]
  59. Bing Xue, Mengjie Zhang."Evolutionary computation for feature selection and feature construction". Proceedings of 2020 Genetic and Evolutionary Computation Conference (GECCO 2020) Companion. ACM Press. Cancun, Mexico. July 8th-12th 2020, pp.. [http] [pdf] [BibTex]
  60. Damien O'Neill, Bing Xue, and Mengjie Zhang. "The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets". Proceedings of 2019 the 31th International Conference on Image and Vision Computing New Zealand (IVCNZ 2019). IEEE Press. Dunedin, New Zealand, 2-4 December, 2019, [http] [pdf] [BibTex]
  61. Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. "Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification". Proceedings of 2019 the 31th International Conference on Image and Vision Computing New Zealand (IVCNZ 2019). IEEE Press. Dunedin, New Zealand, 2-4 December, 2019, [http] [pdf] [BibTex]
  62. Juhini Desai, Bach Nguyen, and Bing Xue, "Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019). Xiamen, China, December 6-9, 2019. pp. 1-8. [http] [pdf] [BibTex]
  63. Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang, "A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019). Xiamen, China, December 6-9, 2019. pp. 1-8. [http] [pdf] [BibTex]
  64. Wenbin Pei, Bing Xue, Lin Shang and Mengjie Zhang, "A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019). Xiamen, China, December 6-9, 2019. pp. 1-8. [http] [pdf] [BibTex]
  65. Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, and Peter Andreae. "Population-based Ensemble Classifier Induction for Domain Adaptation". Proceedings of 2019 Genetic and Evolutionary Computation Conference (GECCO 2019). ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  66. Benjamin Patrick Evans, Bing Xue, and 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). ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  67. Ying Bi, Bing Xue, and Mengjie Zhang. "An Automated Ensemble Learning Framework Using Genetic Programming for Image Classification". Proceedings of 2019 Genetic and Evolutionary Computation Conference (GECCO 2019). ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  68. Bin Wang, Yanan Sun, Bing Xue, and 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). ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  69. Yi Liu, Will N. Browne, and Bing Xue. "Absumption to Complement Subsumption in Learning Classifier Systems". Proceedings of 2019 Genetic and Evolutionary Computation Conference (GECCO 2019). ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  70. Binh Ngan Tran, Bing Xue, and Mengjie Zhang. "Adaptive Multi-Subswarm Optimisation for Feature Selection on High-Dimensional Classification". Proceedings of 2019 Genetic and Evolutionary Computation Conference (GECCO 2019). ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  71. Qi Chen, Bing Xue, and 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. ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  72. Brandon Muller, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. "Building Block Selection in Transfer Learning for Genetic Programming". Proceedings of 2019 Genetic and Evolutionary Computation Conference (GECCO 2019) Companion. ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  73. Wenbin Pei, Bing Xue, and 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. ACM Press. Prague, the Czech Republic, July 13th-17th 2019. 9pp.. [http] [pdf] [BibTex]
  74. Thomas Watts, Bing Xue, and Mengjie Zhang. "Blocky Net: A New NeuroEvolution Method". Proceedings of 2019 IEEE Congress on Evolutionary Computation (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  75. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  76. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  77. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  78. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  79. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  80. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  81. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  82. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  83. Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue and Mohammad Nekooei. "Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition". Proceedings of 2019 IEEE Congress on Evolutionary Computation (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  84. 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 (CEC 2019). Wellington, New Zealand, 10-13 June, 2019. pp. . [http] [pdf] [BibTex]
  85. Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang. "Foreground and Background Feature Fusion using a Convex Hull based Center Prior for Salient Object Detection". Proceedings of 2018 the 30th International Conference on Image and Vision Computing New Zealand (IVCNZ 2018). IEEE Press. Auckland, New Zealand, 19 - 21 Nov 2018. pp. 1-9. [http] [pdf] [BibTex]
  86. 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, July 15th-19th 2018. pp.458--465. [http] [pdf] [BibTex]
  87. Hoai Bach Nguyen, Bing Xue, and Peter Andreae."A Particle Swarm Optimization based Feature Selection Approach to Transfer Learning in Classification". Proceedings of 2018 Genetic and Evolutionary Computation Conference (GECCO 2018). ACM Press. Kyoto, Japan, July 15th-19th 2018.pp.37--44. [http] [pdf] [BibTex]
  88. Bing Xue, Mengjie Zhang."Evolutionary computation for feature selection and feature construction". Proceedings of 2018 Genetic and Evolutionary Computation Conference (GECCO 2018). ACM Press. Kyoto, Japan, July 15th-19th 2018. pp.1198-1220. [http] [pdf] [BibTex]
  89. Yanan Sun, Bing Xue, Mengjie Zhang and Gary G. Yen. "An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2018). Rio de Janeiro, Brazil, 8-13 July, 2018. pp.1-8. [http] [pdf] [BibTex]
  90. Benjamin Evans, Harith Al-Sahaf, Bing Xue and Mengjie Zhang. "Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2018). Rio de Janeiro, Brazil, 8-13 July, 2018. pp.1-8. . [http] [pdf] [BibTex]
  91. Samaneh Azari, Mengjie Zhang, Bing Xue and Lifeng Peng. "Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2018). Rio de Janeiro, Brazil, 8-13 July, 2018. pp.1-8.. [http] [pdf] [BibTex]
  92. Ying Bi, Mengjie Zhang and Bing Xue. "Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2018). Rio de Janeiro, Brazil, 8-13 July, 2018. pp.1-8. (Best Student Paper Candidate) [http] [pdf] [BibTex]
  93. Bin Wang, Yanan Sun, Bing Xue and Mengjie Zhang. "Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2018). Rio de Janeiro, Brazil, 8-13 July, 2018. pp.1-8. [http] [pdf] [BibTex]
  94. Xiaohan Bai, Xiaoying Gao and Bing Xue. "Particle Swarm Optimization based Two-Stage Feature Selection in Text Mining." IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2018). Rio de Janeiro, Brazil, 8-13 July, 2018. pp.1-8. [http] [pdf] [BibTex]
  95. Damien O'Neill, Andrew Lensen, Bing Xue and Mengjie Zhang. "Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering." Rio de Janeiro, Brazil, 8-13 July, 2018. pp.1-8. [http] [pdf] [BibTex]
  96. Ying Bi, Mengjie Zhang and Bing Xue. "An Automatic Region Detection and Processing Approach in Genetic Programming for Binary Image Classification". Proceedings of 2017 the 32th International Conference on Image and Vision Computing New Zealand (IVCNZ 2017). IEEE Press. Christchurch. 4 - 6 Dec 2017. pp. 1-6. [http] [pdf] [BibTex]
  97. Shima Afzali Vahed Moghaddam, Bing Xue, Harith Al-Sahaf and Mengjie Zhang, "A supervised feature weighting method for salient object detection using particle swarm optimization". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017). Hawaii, USA, 27 November - 1 December 2017. pp. 1-8. DOI:10.1109/SSCI.2017.8280948. [http] [pdf] [BibTex]
  98. Emrah Hancer, Bing Xue and Mengjie Zhang, "A differential evolution based feature selection approach using an improved filter criterion". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017). Hawaii, USA, 27 November - 1 December 2017. pp. 1-8. DOI:10.1109/SSCI.2017.8285300. [http] [pdf] [BibTex]
  99. Yu Xue, Jiongming Jiang, Bing Xue and Mengjie Zhang, "A Classification Method based on Self-adaptive Artificial Bee Colony". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017). Hawaii, USA, 27 November - 1 December 2017. pp. 1-8. DOI:10.1109/SSCI.2017.8285232. [http] [pdf] [BibTex]
  100. Andrew Lensen, Bing Xue and 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). ACM Press. Berlin, German, 15 - 19 July 2017.pp 449-456. [http] [pdf] [BibTex]
  101. Chengyan Wang, Bing Xue, and Lin Shang."PSO-based Parameters Selection for the Bilateral Filter in Image Denoising". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). ACM Press. Berlin, German, 15 - 19 July 2017.pp 51-58. [http] [pdf] [BibTex]
  102. Cao Truong Tran, Mengjie Zhang, Peter Andreae, and Bing Xue."Genetic Programming based Feature Construction for Classification with Incomplete Data". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). ACM Press. Berlin, German, 15 - 19 July 2017.pp 1033-1040. [http] [pdf] [BibTex]
  103. Cao Truong Tran, Mengjie Zhang, Peter Andreae, and Bing Xue."Multiple Imputation and Genetic Programming for Classification with Incomplete Data". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017). ACM Press. Berlin, German, 15 - 19 July 2017.pp 521-528. [http] [pdf] [BibTex]
  104. Qi Chen, Mengjie Zhang and Bing Xue."New Geometric Semantic Operators in Genetic Programming: Perpendicular Crossover and Random Segment Mutation". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017) Companion. ACM Press. Berlin, German, 15 - 19 July 2017.pp 223-224. [http] [pdf] [BibTex]
  105. Andrew Lensen, Bing Xue and Mengjie Zhang."Improving k-means Clustering with Genetic Programming for Feature Construction". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017) Companion. ACM Press. Berlin, German, 15 - 19 July 2017.pp 237-238. [http] [pdf] [BibTex]
  106. Hoai Bach Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, and Mengjie Zhang. "Multiple Reference Points MOEA/D for Feature Selection". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017) Companion. ACM Press. Berlin, German, 15 - 19 July 2017.pp 157-158. [http] [pdf] [BibTex]
  107. Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. "Evolving Texture Image Descriptors Using A Multitree Genetic Programming Representation". Proceedings of 2017 Genetic and Evolutionary Computation Conference (GECCO 2017) Companion. ACM Press. Berlin, German, 15 - 19 July 2017.pp 219-220. [http] [pdf] [BibTex]
  108. 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 (CEC 2017). Donostia - San Sebastián, Spain, 5-8 June, 2017. pp. 1279-1286. [http] [pdf] [BibTex]
  109. 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 (CEC 2017). Donostia - San Sebastián, Spain, 5-8 June, 2017. pp. 1287-1294. [http] [pdf] [BibTex]
  110. 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 (CEC 2017). Donostia - San Sebastián, Spain, 5-8 June, 2017. pp. 286-293. [http] [pdf] [BibTex]
  111. 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 (CEC 2017). Donostia - San Sebastián, Spain, 5-8 June, 2017. pp.2420-2427. [http] [pdf] [BibTex]
  112. Andrew Lensen, Bing Xue and Mengjie Zhang, "Particle Swarm Optimisation Representations for Simultaneous Clustering and Feature Selection". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). Athens, Greece, December 6-9, 2016 pp. 1-8. (doi:10.1109/SSCI.2016.7850124) [http] [pdf] [BibTex]
  113. Binh Tran, Mengjie Zhang, and Bing Xue, "Multiple Feature Construction in High-Dimensional Data Using Genetic Programming". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). Athens, Greece, December 6-9, 2016 pp. 1-8. (doi:10.1109/SSCI.2016.7850130) [http] [pdf] [BibTex]
  114. Bing Xue, Mitchell Lane, Ivy Liu and Mengjie Zhang, "Dimension Reduction in Classification using Particle Swarm Optimisation and Statistical Variable Grouping Information". IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). Athens, Greece, December 6-9, 2016 pp pp. 1-8 (doi:10.1109/SSCI.2016.7850126). [http] [pdf] [BibTex]
  115. Qi Chen, Mengjie Zhang, and Bing Xue."Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression". Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES2016), Canberra, Australia, 16-18 November 2016.pp.87--102. [http] [pdf] [BibTex]
  116. Bach H. Nguyen, Bing Xue and Peter Andreae."A Novel Binary Particle Swarm Optimisation Algorithm and its Applications on Knapsack and Feature Selection Problems". Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES2016), Canberra, Australia, 16-18 November 2016.pp.pp 319-332. [http] [pdf] [BibTex]
  117. Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue and Lam Thu Bui."Multiple Imputation and Ensemble Learning for Classification with Incomplete Data". Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES2016), Canberra, Australia, 16-18 November 2016.pp.401--415 (Best Student Paper Award) [http] [pdf] [BibTex]
  118. Bing Xue and Mengjie Zhang."Evolutionary Computation for Feature Selection and Feature Construction". Proceedings of 2016 Genetic and Evolutionary Computation Conference (GECCO 2016) Companion, ACM Press. Dever, Colorado, USA. 20-24 July 2016.pp. 861-881 [http] [pdf] [BibTex]
  119. 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 [http] [pdf] [BibTex]
  120. Qi Chen, Bing Xue, Lin Shang and Mengjie Zhang."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 [http] [pdf] [BibTex]
  121. 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 2016). ACM Press. Dever, Colorado, USA. 20-24 July 2016. pp.69-70 [http] [pdf] [BibTex]
  122. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3061-3067. [http] [pdf] [BibTex]
  123. Qi Chen, Bing Xue, Ben Niu 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3793-3800. [http] [pdf] [BibTex]
  124. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3801-3808. [http] [pdf] [BibTex]
  125. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3598-3605. [http] [pdf] [BibTex]
  126. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.3582-3589. [http] [pdf] [BibTex]
  127. 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/CEC 2016). Vancouver, Canada. 24-29 July, 2016. pp.5044-5051. [http] [pdf] [BibTex]
  128. 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. pp. 1-6. [http] [pdf] [BibTex]
  129. 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. [http] [pdf] [BibTex]
  130. 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. [http] [pdf] [BibTex]
  131. 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. 1137-1144. [http] [pdf] [BibTex]
  132. 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. pp. 2428-2435. [http] [pdf] [BibTex]
  133. Bach Hoai 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 World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2014). Beijing, China. 6-11 July, 2014. IEEE Press. PP.3111-- 3118. 2015 [http] [pdf] [BibTex]
  134. Bing Xue, A. K. Qin and Mengjie Zhang."An Archive based Particle Swarm Optimisation for Feature Selection in Classification", Proceedings of 2014 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2014). Beijing, China. 6-11 July, 2014. IEEE Press. pp.3119--3126. [http] [pdf] [BibTex]
  135. Bing Xue, Wenlong Fu, and 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, BC, Canada. 12-16 July 2014. pp. 83--84. [http] [pdf] [BibTex]
  136. Soha Ahmed, Mengjie Zhang, Lifeng Peng and 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, BC, Canada. 12-16 July 2014.pp.249--256. [http] [pdf] [BibTex]
  137. Bing Xue, Mengjie Zhang, Yan Dai, Will Browne."PSO for Feature Construction and Binary Classification". Proceedings of 2013 Genetic and Evolutionary Computation Conference (GECCO 2013). Amsterdam, The Netherlands. July 06-10, 2013. pp. 137-144 [http] [pdf] [BibTex]
  138. 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 (CEC 2013). Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 2840-2847. [http] [pdf] [BibTex]
  139. 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 (CEC 2013). Cancun, Mexico. 20-23 June, 2013. IEEE Press. pp. 2428-2435. [http] [pdf] [BibTex]
  140. 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. [http] [pdf] [BibTex]
  141. Bing Xue, Mengjie Zhang and Will N. Browne."New Fitness Functions in Binary Particle Swarm Optimisation for Feature Selection". Proceedings of 2012 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2012). Brisbane, Australian. 10-17 June, 2012. IEEE Press. pp. 2145-2152. [http] [pdf] [BibTex]
  142. Liam Cervante, Bing Xue and Mengjie Zhang."Binary Particle Swarm Optimisation for Feature Selection: A Filter Based Approach". Proceedings of 2012 IEEE World Congress on Computational Intelligence/ IEEE Congress on Evolutionary Computation (WCCI/CEC 2012). Brisbane, Australian. 10-17 June, 2012. IEEE Press. pp. 881-888. [http] [pdf] [BibTex]
  143. 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. [http] [pdf] [BibTex]
  144. Ben Niu, Lijing Tan, Bing Xue, Li Li."Constrained Portfolio Selection Using Multiple Swarms". Proceedings of 2010 IEEE Congress on Evolutionary Computation (CEC 2010). Barcelona, Spain. 2010. IEEE. Barcelona, Spain, 18-23 July 2010. pp.1-7. [http] [pdf] [BibTex]
  145. Ben Niu, Yan Fan, Pei Zhao, Bing Xue, Li Li."A Novel Bacterial Foraging Optimizer with Linear Decreasing Chemotaxis Step". 2nd International Workshop on Intelligent Systems and Applications (ISA 2010). Wuhan, China. 2010. pp.1-4. [http] [pdf] [BibTex]
  146. Li Li, Bing Xue, Ben Niu, Yujuan Chai."The Novel Non-linear Strategy of Inertia Weight in Particle Swarm Optimization". Proceedings of the 4th International Conference on Bio-inspired Computing: Theories and Applications (BICTA 2009). Beijing, China. 2009. pp. 183-187. [http] [pdf] [BibTex]
  147. Ben Niu, Li Li, Lianbo Ma, Bing Xue."Design of Logistic Monitoring Management System Based on RFID Technology". Proceedings of 2nd 2008 International Symposium on Intelligent Information Technology Application Workshop (IIIA 2008). Shanghai, China. 2008. pp.669-672. [http] [pdf] [BibTex]


PhD thesis


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