Mengjie Zhang，FRSNZ, FEngNZ, FIEEE

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Bing XueProfessor of Artificial Intelligence, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Yi MeiAssociate Professor, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Will N. BrowneProfessor, Queensland University of TechnologyVerified email at qut.edu.au
Su NguyenCentre for Data Analytics and Cognition, La Trobe UniversityVerified email at latrobe.edu.au
Peter AndreaeVictoria University of Wellington, NZVerified email at ecs.vuw.ac.nz
Yanan SunCollege of Computer Science, Sichuan UniversityVerified email at scu.edu.cn
Professor Kay Chen TANChair Professor, Department of Computing, Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Harith Al-SahafSchool of Engineering and Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
YEN Gary GOklahoma State UniversityVerified email at okstate.edu
Qi ChenVictoria University of WellingtonVerified email at ecs.vuw.ac.nz
Ying BiEvolutionary Computation Research Group, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Hui MaVictoria University of WellingtonVerified email at ecs.vuw.ac.nz
Wenlong FuVictoria University of WellingonVerified email at msor.vuw.ac.nz
Urvesh BhowanAmazon AWSVerified email at amazon.com
Muhammad IqbalHigher Colleges of Technology, United Arab EmiratesVerified email at hct.ac.ae
Binh TranThe Catholic University of AmericaVerified email at cua.edu
Xiaoying GaoA/Prof, School of Engineering and Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Andrew LensenSenior Lecturer in Artificial Intelligence | Pūkenga Matua, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Rohitash ChandraUNSWVerified email at unsw.edu.au
Xin YaoSouthern University of Science and Technology and University of Birmingham (UK)Verified email at cs.bham.ac.uk

Mengjie Zhang，FRSNZ, FEngNZ, FIEEE

Professor of Computer Science, Victoria University of Wellington

Verified email at ecs.vuw.ac.nz - Homepage

Genetic Programming Evolutionary Computation hyper-heuristics multitask learning feature selection


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A survey on evolutionary computation approaches to feature selection B Xue, M Zhang, WN Browne, X Yao IEEE Transactions on evolutionary computation 20 (4), 606-626, 2015	1370	2015
Particle swarm optimization for feature selection in classification: A multi-objective approach B Xue, M Zhang, WN Browne IEEE transactions on cybernetics 43 (6), 1656-1671, 2012	1080	2012
Deep reconstruction-classification networks for unsupervised domain adaptation M Ghifary, WB Kleijn, M Zhang, D Balduzzi, W Li Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	824	2016
Domain generalization for object recognition with multi-task autoencoders M Ghifary, WB Kleijn, M Zhang, D Balduzzi Proceedings of the IEEE international conference on computer vision, 2551-2559, 2015	555	2015
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms B Xue, M Zhang, WN Browne Applied soft computing 18, 261-276, 2014	542	2014
Automatically designing CNN architectures using the genetic algorithm for image classification Y Sun, B Xue, M Zhang, GG Yen, J Lv IEEE transactions on cybernetics 50 (9), 3840-3854, 2020	505	2020
Evolving deep convolutional neural networks for image classification Y Sun, B Xue, M Zhang, GG Yen IEEE Transactions on Evolutionary Computation 24 (2), 394-407, 2019	477	2019
Domain adaptive neural networks for object recognition M Ghifary, WB Kleijn, M Zhang PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim …, 2014	369	2014
Scatter component analysis: A unified framework for domain adaptation and domain generalization M Ghifary, D Balduzzi, WB Kleijn, M Zhang IEEE transactions on pattern analysis and machine intelligence 39 (7), 1414-1430, 2016	354	2016
Automated design of production scheduling heuristics: A review J Branke, S Nguyen, CW Pickardt, M Zhang IEEE Transactions on Evolutionary Computation 20 (1), 110-124, 2015	341	2015
Differential evolution for filter feature selection based on information theory and feature ranking E Hancer, B Xue, M Zhang Knowledge-Based Systems 140, 103-119, 2018	274	2018
Pareto front feature selection based on artificial bee colony optimization E Hancer, B Xue, M Zhang, D Karaboga, B Akay Information Sciences 422, 462-479, 2018	254	2018
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction R Chandra, M Zhang Neurocomputing 86, 116-123, 2012	252	2012
Practice and theory of blendshape facial models. JP Lewis, K Anjyo, T Rhee, M Zhang, FH Pighin, Z Deng Eurographics (State of the Art Reports) 1 (8), 2, 2014	250	2014
Evolving diverse ensembles using genetic programming for classification with unbalanced data U Bhowan, M Johnston, M Zhang, X Yao IEEE Transactions on Evolutionary Computation 17 (3), 368-386, 2012	246	2012
Automatic design of scheduling policies for dynamic multi-objective job shop scheduling via cooperative coevolution genetic programming S Nguyen, M Zhang, M Johnston, KC Tan IEEE Transactions on Evolutionary Computation 18 (2), 193-208, 2013	236	2013
A survey on swarm intelligence approaches to feature selection in data mining BH Nguyen, B Xue, M Zhang Swarm and Evolutionary Computation 54, 100663, 2020	204	2020
Self-adaptive particle swarm optimization for large-scale feature selection in classification Y Xue, B Xue, M Zhang ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (5), 1-27, 2019	196	2019
A computational study of representations in genetic programming to evolve dispatching rules for the job shop scheduling problem S Nguyen, M Zhang, M Johnston, KC Tan IEEE Transactions on Evolutionary Computation 17 (5), 621-639, 2012	196	2012
Genetic programming for production scheduling: a survey with a unified framework S Nguyen, Y Mei, M Zhang Complex & Intelligent Systems 3, 41-66, 2017	187	2017

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