Teaching and Supervison

Taught Courses

AIML427 - Big Data; (the original COMP424/473)
COMP 309 - Machine Learning Tools and Techniques;
COMP 307 - Introduction to Artificial Intelligence;
COMP 422 - Data Mining, Neural Networks and Genetic Programming
SWEN 304 - Database System Engineering

Supervision:

-PhD Students

Nabeel Aslam, "Fake News Detection", Victoria University of Wellington, from 1 Sepetember 2024, (supervised by A/Prof. Xiaoying Gao, and Prof. Bing Xue)
Zhicheng Wu, "Genetic Programming for Multi-modal Image Analysis", Victoria University of Wellington, 1 Sepetember 2024, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Mengjie Zhang and Prof. Bing Xue )
Hao Xie, "Multi-label statistical and machine learning", Victoria University of Wellington, from 1 August 2024, (supervised by A/Prof. Ivy Liu and Prof. Bing Xue)
Ning Li, "Large Language Models", Victoria University of Wellington, from 1 April 2024, VUW-CSC (China Scholarship Council) Scholarship (supervised by A/Prof. Xiaoying Gao, and Prof. Bing Xue)
Todd Cochrane, "Machine learning for Education in NZ", part-time, Victoria University of Wellington, from 1 April 2024 (supervised by Prof. Mengjie Zhang, and Prof. Bing Xue)
Bisma Ayaz, "Large Language Processing", Victoria University of Wellington, from 1 March 2024, Victoria Doctoral Scholarship (supervised by A/Prof. Xiaoying Gao, and Prof. Bing Xue)
Vinh Nguyen, "3D rendering Equation using Machine Learning", Victoria University of Wellington, from 1 March 2024, Victoria Doctoral Scholarship (supervised by Dr Alexander Doronin, and Prof. Bing Xue)
Ambica Dixit, "Cybersecurity in the Digital Banks", part-time, Victoria University of Wellington, from 1 Feburary 2024, Victoria Scholarship (supervised by Prof. Mengjie Zhang, and Prof. Bing Xue)
Yuye Zhang, "Machine Learning and Applications", Victoria University of Wellington, from 1 Feburary 2024, Victoria Doctoral Scholarship (supervised by Dr Fangfang Zhang, Prof. Bing Xue, and Prof. Mengjie Zhang)
Jigang Fan, "Image analysis using explainable evolutionary computation methods", Victoria University of Wellington, from 1 November 2023, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Bing Xue, and Prof. Mengjie Zhang)
Benny Lin, "Machine Learning Application in Computer Vision", Victoria University of Wellington, Project Funded Scholarship, from 1 November 2023, (supervised by Prof. Bing Xue, and Prof. Mengjie Zhang)
Fei Ming, "Evolutionary Machine Learning", visiting PhD student from China University of Geosciences, from China, Oct. 2023-Apr. 2025, (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Nan Li, "Neural Architecture Search", visiting PhD student from Northeastern University, from Sep 2024 to , VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Yun Zhou, "Machine Learning for Cyber-Marine fish data analysis", Victoria University of Wellington, Project Funded Scholarship, from 1 September 2023, (supervised by Prof. Bing Xue and Dr Aaron Chen)
Lin Dong, "Genetic Programming for Image Analysis", Marsden/Project Funded Scholarship, Victoria University of Wellington, from 1 August 2023, (supervised by Prof. Bing Xue, Dr Ying Bi, and Prof. Mengjie Zhang)
Jiahong Wei, "Machine Learning and Computer Visison for Muessel Farm Buoyancy Analysis", Victoria University of Wellington, Marsden/Project Funded Scholarship, from 1 July 2023, (supervised by Prof. Bing Xue, and Prof. Mengjie Zhang)
Carl McMillan, "Machine Learning and Computer Visison for Muessel Farm Buoyancy Analysis", Victoria University of Wellington, Marsden/Project Funded Scholarship, from 1 July 2023, (supervised by Prof. Bing Xue, Prof. Mengjie Zhang, and Dr Junhong Zhao)
Chunyu Wang, "Genetic Programming for Symbolic Regression and its Applications", Victoria University of Wellington, from 1 December 2022, VUW-CSC (China Scholarship Council) Scholarship (supervised by Dr Qi Chen, Prof. Mengjie Zhang and Prof. Bing Xue)
Hengzhe Zhang, "Genetic Programming for Symbolic Regression", Victoria University of Wellington, from 1 Augest 2022, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Mengjie Zhang, Dr Qi Chen and Prof. Bing Xue)
Mitchell Rogers, "Machine Learning and Real-world Applications", University of Auckland, (supervised by Prof. Patrice Delmas, Prof. Mengjie Zhang, and Prof. Bing Xue)
Jesse Wood, "Evolutionary Machine Learning for Cyber Marine", Victoria University of Wellington, from 1 March 2022, Victoria Doctoral Scholarship (supervised by Prof. Bing Xue, Hoai Bach Nguyen, and Prof. Mengjie Zhang)

Zhiheng (Dylon) Zeng, "Machine Learning and Computer Vision for Precision Farming Technology for Aquaculture", Victoria University of Wellington, from 1 October 2021, Victoria Doctoral Scholarship (supervised by Prof. Mengjie Zhang, Prof. Bing Xue, A/Prof. Ivy Liu)

Ziyi Sun, "Evolutionary Deep Learning for Image Segmentation", Victoria University of Wellington, from 1 October 2021, Victoria Doctoral Scholarship (supervised by Prof. Bing Xue, and Prof. Mengjie Zhang)
Qinyu Wang, "Evolutionary Computation Evolving Architecture of DCNNs ", Victoria University of Wellington, from 1 Nov 2020, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Bing Xue, Dr Ying Bi, and Prof. Mengjie Zhang)

-Past PhD Students

Kaan Demir, "Evolutionary Computation for Feature Selection in Multi-label Classification", Victoria University of Wellington, from 1 April 2021 to May 2024 Victoria Doctoral Scholarship (supervised by Prof. Bing Xue and Hoai Bach Nguyen)
Christian Raymond, "Meta Learning ", Victoria University of Wellington, from 1 March 2021 to June 2024, Victoria Doctoral Scholarship (supervised by Dr Qi Chen and Prof. Bing Xue and Prof. Mengjie Zhang)
Shanshan Tang, "Machine Learning and Medical Applications", visiting PhD student from Northeastern University, from Dec 2022 to Dec 2024, VUW-CSC (China Scholarship Council) Scholarship (supervised by Dr Qi Chen, Prof. Mengjie Zhang and Prof. Bing Xue)
Junhao Huang, "Improving Evolutionary Neural Architecture Search: Flexibility, Compactness, and Efficiency ", Victoria University of Wellington, from 1 Nov 2020 to March 2024, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Shihui Liu, "Machine Learning and Remote Sensing Image Analysis", visiting PhD student from Dalian Maritime University, Dalian, China, from March 2023 to March 2024, (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Cheng Xie, "Neural Architecture Search for Turntable Servo Systems", visiting PhD student from Harbin Institute of Technology, Harbin, China, from March 2023 to March 2024, (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Jiabin Lin, "Evolutionary Transfer Learning for Feature Selection in Classification", Victoria University of Wellington, from 1 Nov 2020 to Feb 2024, Victoria Doctoral Scholarship (supervised by Prof. Bing Xue, Dr Qi Chen and Prof. Mengjie Zhang)
Zhenshou Song, "Evolutionary Computation", visiting PhD student from Xidian University, from Jan 2023 to Jan 2024, (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Botao Jiao, "Data Stream with Concept Drift", visiting PhD student from China University of Mining and Technology, Nov 2022 to Nov 2023, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Huixiang Zhen, "Evolutionary Machine Learning", visiting PhD student from China University of Geoscience, Nov 2022 to Nov 2023, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Gonglin Yuan, "Evolutionary Neural Architecture Search for Image Classification", Victoria University of Wellington, from 1 July 2020 to Oct 2023, Victoria Doctoral Scholarship (supervised by Prof. Mengjie Zhang and Prof. Bing Xue)
Peng Wang, "Evolutionary Computation for Feature Selection in Classification", Victoria University of Wellington, from 1 Nov 2019 to Jan 2023, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Bing Xue, Prof. Mengjie Zhang, and Prof. Jing Liang )
Qinglan Fan, "Improving Genetic Programming for Image Classification", Victoria University of Wellington, from 1 Nov 2019 to Augest 2023, Victoria Doctoral Scholarship (supervised by Prof. Mengjie Zhang, Prof. Bing Xue, and Dr Ying Bi)
Damien O'Neill, "The use of co-evolution to develop novel artificial neural networks and supporting structures", Victoria University of Wellington, from 1 March 2018 to January 2023, Victoria Doctoral Scholarship (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Kosisochukwu Madukwen, "Detection of Online Textual Hate Speech", Victoria University of Wellington, from 1 May 2019 to Augest 2022, Victoria Doctoral Scholarship (supervised by A/Prof. Xiaoying Sharon Gao and Prof. Bing Xue)
Bin Wang, "Evolving Neural Networks for Image Analysis", Victoria University of Wellington, from 1 March 2019 to September 2022 (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Ramya Anasseriyil Viswambaran, "Evolutionary Computation for Recurrent Neural Networks", Victoria University of Wellington, from 1 September 2018 to July 2022, (supervised by Dr Aaron Chen, Bing Xue, and Dr Mohammad Nekooei)
Baligh Al-Helali, "Genetic Programming for Symbolic Regression with Imbalanced and Incomplete Data", Victoria University of Wellington, from 1 December 2017 to 30 June 2021, Victoria Doctoral Scholarship(supervised by Prof. Bing Xue, Prof. Mengjie Zhang and Dr Qi Chen)
Wenbin Pei, "Evolutionary computation for machine learning and data mining", Victoria University of Wellington, from 1 Nov 2017 to 30 June 2021, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Ke Chen, "Evolutionary Computation for Feature Selection", Visting PhD student from Shandong University, from 1 Dec 2018 to May 2020 (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Yi Liu, "Understanding Data with Learning Classifier Systerm", Victoria University of Wellington, from 1 Sep 2017 to Feb 2021 (supervised by A/Prof Will Browne and Bing Xue)
Qurrat Ul Ain, "Evolutionary computation for Medical Imaga Analysis", Victoria University of Wellington, start from 1 July 2016 to 12 Aug 2020, Victoria Doctoral Scholarship (supervised by Prof. Bing Xue, Prof. Mengjie Zhang, and Dr Harith Al-Sahaf)
Ying Bi, "Evolutionary deep learning using genetic programming for binary image classification", Victoria University of Wellington, from 1 March 2017 to 30 June 2020, VUW-CSC (China Scholarship Council) Scholarship (supervised by Prof. Mengjie Zhang and Bing Xue)
Samaneh Azari, "Identification of Modified and Unmodified Peptides of Proteins Using Tandem Mass Spectra Data", Victoria University of Wellington, start from 1 May 2016 to 31 Oct 2019 , Victoria Doctoral Scholarship (supervised by Prof. Mengjie Zhang, Bing Xue, and Dr Lifeng Peng)
Shima Afzali, "Evolutionary computation for Salient Object Detection", Victoria University of Wellington, start from 1 April 2016 to 29 Nov 2019, Victoria Doctoral Scholarship (supervised by Prof. Bing Xue, Prof. Mengjie Zhang, Dr Harith Al-Sahaf, and Dr Christopher Hollitt)
Andrew Lensen, "Evolutionary Computation based Feature Manipulation for Clustering", Victoria University of Wellington, from 15 Feb 2016 to , Victoria Doctoral Scholarship (supervised by Prof. Mengjie Zhang and Bing Xue)
Hoai Bach Nguyen, "Evolutionary computation for filter feature reduction in classification", Victoria University of Wellington, 1 April 2015 to 31 May 2018, Victoria Doctoral Scholarship (supervised by Prof. Bing Xue and A/Prof. Peter Andreae)
Cao Truong Tran, "Genetic Programming for Incomplete Data Classification", Victoria University of Wellington, 1 Sep 2014 to April 2018, VUW-Vietnam Scholarship (supervised by Prof. Mengjie Zhang and A/Prof. Peter Andreae)
Emrah Hancer (Visiting PhD), "Artificial bee colony optimisation for feature selection", Victoria University of Wellington, Sep 2014 -- Aug 2015 (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Qi Chen, "Genetic programming for symbolic regression", Victoria University of Wellington, 1 Aug 2014 to Dec 2017 (supervised by Prof. Mengjie Zhang and Bing Xue)
Binh Tran, "Evolutionary computation for feature manipulation in classification on high-dimensional data", Victoria University of Wellington, 1 Mar 2014 to Feb 2018, VUW-Vietnam Scholarship (supervised by Prof. Mengjie Zhang and Bing Xue)

-Master Students

Carl McMillan, "Machine Learning of Mussel Farm Image Analysis", Master of Artificial Intelligence, Victoria University of Wellington, from Nov 2022 (supervised by Prof. Bing Xue, Prof. Mengjie Zhang) Thesis Here
Elijah Guarina, "Genetic Programming with Attension for Text Classification", Master of Artificial Intelligence, Victoria University of Wellington, from Nov 2022 (supervised by Prof. Bing Xue, A/Prof. Xiaoying Gao) Thesis Here
Hamish O'Keeffe, "Machine Learning of Mussel Havest Estimation", Master of Science in Artificial Intelligence, Callaghan Innovation Scholarship, Victoria University of Wellington, from 11 July 2022 (supervised by Prof. Bing Xue, Dr Nikki Hawes and Dr Cris Lovell-Smith from Nelson AI, and Prof. Mengjie Zhang) Thesis Here
David Knox, "Learning to Active Learn using GP Training Semantic Segmentation Models using Point Annotations", Master of Science in Computer Science, Victoria University of Wellington, part-time, from 19 July 2021 to (supervised by Prof. Bing Xue and Prof. Mengjie Zhang) Thesis Here
Juhini Desai, "Particle Swarm Optimisation for Feature Selection in Multi-Label Classification", Master of Computer Science, Victoria University of Wellington, from 19 Nov 2018 (supervised by Prof. Bing Xue and Dr Bach Nguyen )
Jiabin Lin, "Multi-objective mult-tasking optimisation", visiting Master student from Guangdong University of Technology, Jan 2019 - Jan 2020 (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Benjamin Evans, "Population-based Ensemble Learning with Tree Structures for Classification", Master of Science in Computer Science, Victoria University of Wellington, 15 March 2018 -- 15 March 2019 (supervised by Prof. Bing Xue and Prof. Mengjie Zhang) Thesis Here
Xiaohan Bai, "Evolutionary Feature Selection in Text Mining", Master of Computer Science, Victoria University of Wellington, 17 July 2017 - 16 Feb 2018 (supervised by Prof. Bing Xue and Dr Xiaoying Sharon Gao)
Yi Liu, "Transfer Learning using Learning Classifer Systerms", Master of Computer Science, Victoria University of Wellington, 20 Nov 2016 -- July 2017 (supervised by A/Prof. Will Browne and Bing Xue)
Andrew Lensen, "Evolutionary Computation based Feature Manipulation for Clustering", Master of Science in Computer Science, Victoria University of Wellington, started from 15 Feb 2016, but converted to PhD in Dec 2016 (supervised by Prof. Mengjie Zhang and Bing Xue)
Jiatong Huo, "Search Based Software Testing: Multi-Objective Test Data Generation with Genetic Programming", Master of Computer Science, Victoria University of Wellington, 20 Oct 2015 - July 2016 (co-supervised with Prof. Mengjie Zhang)

-Honours Project Students

Jesse Wood, "Fish Weight Prediction using Genetic Programming for Symbolic Regression, and Convolutional Neural Network from Images", Victoria University of Wellington, 27 Feburary -- 14 Oct 2021 (co-supervised with Dr Bach Hoai Nguyen and Prof. Mengjie Zhang)
Binke Xu, "Fish Weight Prediction using Genetic Programming for Symbolic Regression, and Convolutional Neural Network from Images", Victoria University of Wellington, 27 Feburary -- 14 Oct 2021 (co-supervised with Prof. Mengjie Zhang)
Demelza Robinson, "Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment", Victoria University of Wellington, 27 Feburary -- 14 Oct 2021 (co-supervised with Dr Qi Chen, Prof. Mengjie Zhang, and Dr Daniel Killen)
Finn Sargisson, "Evolving Multi-view Text Representation for Text Classification", Victoria University of Wellington, 27 Feburary -- 14 Oct 2021 (co-supervised with A/Prof. Xiaoying Gao )
Yunhan Yang, "Fish Weight Prediction using Genetic Programming for Symbolic Regression, and Convolutional Neural Network from Images", Victoria University of Wellington, 09 Nov -- 08 June 2021 (co-supervised with Linley Jesson from Plant and Food Research, and Prof. Mengjie Zhang)
Kaan Demir, "Evolutionary Multi-objective Optimisation for Feature Selection in Multi-label Classification", Victoria University of Wellington, 07 March -- 14 Oct 2020 (co-supervised with Dr Bach Hoai Nguyen) Final Report
Christian Raymond, "Evolutionary Computation for Symbolic Regression with a Semi-Structured Representation", Victoria University of Wellington, 07 March -- 14 Oct 2020 (co-supervised with Dr Qi Chen) Final Report
Hayden Andersen, "Evolving Clustering Similarity Functions", Victoria University of Wellington, 07 March -- 14 Oct 2020(co-supervised with Dr Andrew Lensen) Final Report
Caleb Buchanan, "Detecting Dolphins: Classifying Acoustic Data Using Computer Vision Techniques", Victoria University of Wellington, 07 March -- 14 Oct 2020 (co-supervised with Prof. Mengjie Zhang) Final Report
Inti Mateus Resende Albuquerque, "Evolutionary Computation for Instance Selection and Feature Selection", Victoria University of Wellington, 04 March -- 08 Nov 2019 (co-supervised with Prof. Mengjie Zhang) Final Report
Sean Stevenson, "Evolving Network Structures For Deep Learning in Text Classification", Victoria University of Wellington, 04 March -- 08 Nov 2019 (co-supervised with A/Prof. Xiaoying Gao ) Final Report
Andrew McGhie, "Genetic Programming for Evolving Neural Networks for Image Classification", Victoria University of Wellington, 04 March -- 08 Nov 2019 (co-supervised with Prof. Mengjie Zhang) Final Report
Yi Sian Lim, "A Genetic Programming Approach to Binary Image Classification", Victoria University of Wellington, 04 March -- 08 Nov 2019 (co-supervised with Prof. Mengjie Zhang) Final Report
William Irwin-Harris, "Genetic Programming for Automatic Design of Convolutional Neural Network Architectures", Victoria University of Wellington, 19 Nov 2018 --28 Jun 2019 (supervised by Prof. Bing Xue, Dr Yanan Sun, and Prof. Mengjie Zhang). Final Report
Bin Wang, "Evolving Deep Neural Networks for Image Analysis", Victoria University of Wellington, 05 March --16 Nov 2018 (supervised by Prof. Bing Xue, Dr Yanan Sun, and Prof. Mengjie Zhang). Final Report
Trevor Londt, "Evolutionary Multi-Objective for Feature Selection in Text Mining", Victoria University of Wellington, 05 March --16 Nov 2018 (supervised by Dr Xiaoying Sharon Gao and Prof. Bing Xue). Final Report
Robert Campbell, "Deep Learning and Feature Selection for Text Classification", Victoria University of Wellington, 05 March --16 Nov 2018 (supervised by Prof. Mengjie Zhang and Prof. Bing Xue). Final Report
Benjamin Evans, "Genetic Programming for Evolutionary Deep Learning for Image Classification", Victoria University of Wellington, 29 Feb --16 Nov 2017 (co-supervised with Prof. Mengjie Zhang and HarithAl-Sahaf), Final Report
Damien O'Neill, "PSO for Simultaneous Feature Selection and Weighting in High-Dimensional Clustering", Victoria University of Wellington, 29 Feb --16 Nov 2017 (co-supervised with Prof. Mengjie Zhang and Andrew Lensen), Final Report
Tessa Phillips, "Genetic Programming for Evolving Computer Programs with Loop and Recursive Structures", Victoria University of Wellington, 29 Feb -- 14 Nov 2016 (co-supervised with Prof. Mengjie Zhang), Final Report
Andrew Lensen, "Genetic Programming for Image Classification using High-Level Features ", Victoria University of Wellington, 02 March -- 15 Nov 2015 (co-supervised with Prof. Mengjie Zhang, HarithAl-Sahaf), Final Report (Dean’s List)
Hoai Bach Nguyen, "Continuous PSO for feature selection using statistical clustering and genetic operations", Victoria University of Wellington, 03 March -- 16 Nov 2014 (co-supervised with Prof. Mengjie Zhang), Final Report
Mitchell Lane, "Particle swarm optimisation and statistical clustering for feature selection", Victoria University of Wellington, 04 March -- 17 Nov 2013 (co-supervised with Prof. Mengjie Zhang and Dr Ivy Liu), Final Report (Dean’s List)
Yan Dai, "Feature construction using particle swarm optimisation", Victoria University of Wellington, 04 March -- 17 Nov 2013 (co-supervised with Prof. Mengjie Zhang), Final Report
Liam Cervante, "Particle swarm optimisation and rough set theory for feature selection", Victoria University of Wellington, 05 March -- 18 Nov 2012 (co-supervised with Prof. Mengjie Zhang and A/Prof. Lin Shang), (Dean’s List) Final Report

-Summer Scholarship Projects

Fay Lu, "Feature Selection for Multi-label Classification", Victoria University of Wellington, 14 Nov 2021 -- 18 Feb 2022 (co-supervised with Dr Bach Hoai Nguyen )
Demelza Robinson, "A GP-based Feature Selection Approach for Pre-processing in Nutrient Assessment", Victoria University of Wellington, 14 Nov 2021 -- 18 Feb 2022 (co-supervised with Dr Qi Chen and Prof. Mengjie Zhang)
Kaan Demir, "A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection", Victoria University of Wellington, 11 Nov 2019 -- 28 Feb 2020 (co-supervised with Dr Bach Hoai Nguyen and Prof. Mengjie Zhang)
Christian Raymond, "Adaptive Weighted Splines - An Alternative Representation to Genetic Programming for Symbolic Regression", Victoria University of Wellington, 11 Nov 2019 -- 28 Feb 2020(co-supervised with Dr Qi Chen and Prof. Mengjie Zhang)
Demelza Robinson, "A GP-based Approach for Solving Fredholm First Kind Integral Equations", Victoria University of Wellington, 11 Nov 2019 -- 28 Feb 2020(co-supervised with Dr Qi Chen and Prof. Mengjie Zhang)
Thomas Watts, "Blocky Net: A New NeuroEvolution Method", Victoria University of Wellington, 16 Nov 2018 -- 22 Feb 2019 (supervised by Prof. Bing Xue and Prof. Mengjie Zhang)
Tim Gastrell, "Development of an emotional arousal sensitive brain activity pattern (Emotional Arousal Pattern)", Victoria University of Wellington, 16 Nov 2018 -- 22 Feb 2019 (supervised by Dr Hedwig Eisenbarth and Prof. Bing Xue Summer Gold Poster Award in Summer Gold Competition for 2019 : Competition Poster, Competition Video, EPC Conference Poster
Christian Raymond, "Genetic Programming with Rademacher Complexity for Symbolic Regression", Victoria University of Wellington, 16 Nov 2018 -- 22 Feb 2019 (supervised by Dr Qi Chen, Prof. Bing Xue, and Prof. Mengjie Zhang
Bin Wang, "Evolving Multi-Objective Deep Neural Networks for Image Classification", Victoria University of Wellington, 16 Nov 2018 -- 22 Feb 2019 (supervised by Dr Yanan Sun, Prof. Bing Xue and Prof. Mengjie Zhang
Brandon Muller, "A Genetic Programming Approach to Feature Construction for Malware, Phishing and Spam Detection", Victoria University of Wellington, 16 Nov 2018 -- 22 Feb 2019 (supervised by Dr Harith Al-Sahaf, Prof. Bing Xue, and Prof. Mengjie Zhang
Will Pearson, "Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data", Victoria University of Wellington, 16 Nov 2018 -- 22 Feb 2019 (supervised by Dr Cao Truong Tran, Prof. Bing Xue and Prof. Mengjie Zhang
Luke Johnson, "Particle Swarm Optimisation with Local Search for Feature Selection in High-dimensional Data", Victoria University of Wellington, 20 Nov 2017 -- 16 Feb 2018 (co-supervised with Prof. Mengjie Zhang) Most engaging demonstration of research in Summer Gold Competition for 2018
Benjamin Evans, "Genetic Programming with Gradient Descent for Evolutionary Deep Learning for Image Classification", Victoria University of Wellington, 20 Nov 2017 -- 16 Feb 2018 (co-supervised with Prof. Mengjie Zhang and HarithAl-Sahaf), Video highly commended in Summer Gold Competition for 2018
Damien O'Neill, "Transfer Learning Approach for Genetic Programming", Oct 2016 -- Feb 2017, Supervisors: Prof. Bing Xue and Prof. Mengjie Zhang)
Edward Haslam, "Genetic Programming for Transfer Learning", Oct 2015 -- Feb 2016, Supervisors: Prof. Bing Xue and Prof. Mengjie Zhang)
Jiasheng Wang, "Evolutionary Computation for Feature Selection and Instance Selection in Large-Scale Classification", Oct 2015 -- Feb 2016, Supervisors: Prof. Bing Xue and Prof. Mengjie Zhang)
Tessa Phillips, "Genetic Programming for Evolving Computer Programs with Loop and Recursive Structures", Oct 2015 -- Feb 2016, Supervisors: Prof. Bing Xue and Prof. Mengjie Zhang)
Tony Butler-Yeoman, "Evolutionary feature selection and construction to large-scale classification", Victoria University of Wellington, Oct 2014 -- Feb 2015 (am the primary supervisor, co-supervised with Prof. Mengjie Zhang)
Hoai Bach Nguyen, "Multi-objective feature selection using evolutionary computation", Victoria University of Wellington, Oct 2014 -- Feb 2015 (am the primary supervisor, co-supervised with Prof. Mengjie Zhang)
Chahine Koleejan, "Evolutionary computation for software testing data generation", Victoria University of Wellington, Oct 2014 -- Feb 2015 (co-supervised with Prof. Mengjie Zhang)
Hoai Bach Nguyen, "Statistical clustering and particle swarm optimisation for feature selection", Victoria University of Wellington, Nov 2013 -- Feb 2014 (am the primary supervisor, co-supervised with Prof. Mengjie Zhang and Dr Ivy Liu)
Yan Dai, "Particle swarm optimisation for feature construction and classification", Victoria University of Wellington, Oct 2012 -- Feb 2013 (co-supervised with Prof. Mengjie Zhang)
Aneta Stevanovic, "Particle swarm optimisation and decision-theoretic rough sets for dimensionality reduction", Victoria University of Wellington, Oct 2012 -- Feb 2013 (co-supervised with Prof. Mengjie Zhang and A/Prof. Lin Shang)
Liam Cervante, "Filter feature selection using particle swarm optimisation and information theory", Victoria University of Wellington, Nov 2011 -- Feb 2012 (co-supervised with Prof. Mengjie Zhang)

 
 
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