Mengjie Zhang，FRSNZ, FIEEE
Mengjie Zhang，FRSNZ, FIEEE
Professor of Computer Science, Victoria University of Wellington
Verified email at ecs.vuw.ac.nz - Homepage
Title
Cited by
Cited by
Year
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
8372015
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
7992012
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
4772016
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
3802014
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
2792015
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
2162015
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction
R Chandra, M Zhang
Neurocomputing 86, 116-123, 2012
1972012
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
1962012
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
1942016
Domain adaptive neural networks for object recognition
M Ghifary, WB Kleijn, M Zhang
Pacific Rim international conference on artificial intelligence, 898-904, 2014
1762014
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
1742013
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
1672003
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
1662019
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
1592018
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
1522014
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
1412012
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
1382018
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
1302012
Genetic programming for multiple class object detection
M Zhang, V Ciesielski
Australasian Joint Conference on Artificial Intelligence, 180-192, 1999
1221999
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
1152013
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