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Mengjie Zhang，FRSNZ, FEngNZ, FIEEE
Mengjie Zhang，FRSNZ, FEngNZ, 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
17552015
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
13132012
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
10632016
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
8142020
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
7642015
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
7142019
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
6422014
Domain adaptive neural networks for object recognition
M Ghifary, WB Kleijn, M Zhang
PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim …, 2014
5242014
A survey on evolutionary neural architecture search
Y Liu, Y Sun, B Xue, M Zhang, GG Yen, KC Tan
IEEE transactions on neural networks and learning systems 34 (2), 550-570, 2021
5062021
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
4922016
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
4202015
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
3732018
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
3522020
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
3332018
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
3282014
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
3232019
Completely automated CNN architecture design based on blocks
Y Sun, B Xue, M Zhang, GG Yen
IEEE transactions on neural networks and learning systems 31 (4), 1242-1254, 2019
3142019
The challenge and prospect of mRNA therapeutics landscape
Y Weng, C Li, T Yang, B Hu, M Zhang, S Guo, H Xiao, XJ Liang, Y Huang
Biotechnology advances 40, 107534, 2020
3002020
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
2822012
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction
R Chandra, M Zhang
Neurocomputing 86, 116-123, 2012
2792012
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