Mengjie Zhang，FRSNZ, FIEEE

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	All	Since 2016
Citations	14790	10944
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Bing XueSchool of Engineering and Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Will N. BrowneAssociate Professor, Victoria University of WellingtonVerified email at VUW.ac.nz
Yi MeiSenior Lecturer, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
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
Harith Al-SahafSchool of Engineering and Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Professor Kay Chen TANDepartment of Computing, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
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
Yanan SunCollege of Computer Science, Sichuan UniversityVerified email at scu.edu.cn
Xiaoying GaoA/Prof, School of Engineering and Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Binh TranThe Catholic University of AmericaVerified email at cua.edu
Rohitash ChandraUNSWVerified email at unsw.edu.au
YEN Gary GOklahoma State UniversityVerified email at okstate.edu
Juan Rada-VilelaFuzzyLite LimitedVerified email at fuzzylite.com
Cao Truong TranLe Qui Don Technical University, VietnamVerified email at lqdtu.edu.vn
Andrew LensenLecturer in Artificial Intelligence | Pūkenga, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Xin YaoSouthern University of Science and Technology (SUSTech) and University of BirminghamVerified email at cs.bham.ac.uk

Mengjie Zhang，FRSNZ, FIEEE

Professor of Computer Science, Victoria University of Wellington

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

Genetic Programming Evolutionary Computation Neural Networks


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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	761	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	753	2012
Deep reconstruction-classification networks for unsupervised domain adaptation M Ghifary, WB Kleijn, M Zhang, D Balduzzi, W Li European Conference on Computer Vision, 597-613, 2016	448	2016
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	357	2014
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	239	2015
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	205	2015
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	190	2012
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction R Chandra, M Zhang Neurocomputing 86, 116-123, 2012	186	2012
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	174	2016
Domain adaptive neural networks for object recognition M Ghifary, WB Kleijn, M Zhang Pacific Rim international conference on artificial intelligence, 898-904, 2014	164	2014
A domain-independent window approach to multiclass object detection using genetic programming M Zhang, VB Ciesielski, P Andreae EURASIP Journal on Advances in Signal Processing 2003 (8), 1-19, 2003	164	2003
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	161	2013
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	143	2018
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	143	2014
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	133	2012
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	130	2019
Binary particle swarm optimisation for feature selection: A filter based approach L Cervante, B Xue, M Zhang, L Shang 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012	126	2012
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	123	2018
Genetic programming for multiple class object detection M Zhang, V Ciesielski Australasian Joint Conference on Artificial Intelligence, 180-192, 1999	121	1999
Reusing building blocks of extracted knowledge to solve complex, large-scale boolean problems M Iqbal, WN Browne, M Zhang IEEE Transactions on Evolutionary Computation 18 (4), 465-480, 2013	112	2013

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