Mingkui Tan
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Learning sparse svm for feature selection on very high dimensional datasets
M Tan, L Wang, IW Tsang
Gene selection using hybrid particle swarm optimization and genetic algorithm
S Li, X Wu, M Tan
Soft Computing 12 (11), 1039-1048, 2008
Towards ultrahigh dimensional feature selection for big data
M Tan, IW Tsang, L Wang
Journal of Machine Learning Research, 2014
Discrimination-aware channel pruning for deep neural networks
Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu
Advances in Neural Information Processing Systems, 875-886, 2018
Heterogeneous domain adaptation for multiple classes
JT Zhou, IW Tsang, SJ Pan, M Tan
Artificial intelligence and statistics, 1095-1103, 2014
A hybrid PSO-BFGS strategy for global optimization of multimodal functions
S Li, M Tan, IW Tsang, JTY Kwok
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011
Robust kernel low-rank representation
S Xiao, M Tan, D Xu, ZY Dong
IEEE transactions on neural networks and learning systems 27 (11), 2268-2281, 2015
Weighted block-sparse low rank representation for face clustering in videos
S Xiao, M Tan, D Xu
European Conference on Computer Vision, 123-138, 2014
Towards effective low-bitwidth convolutional neural networks
B Zhuang, C Shen, M Tan, L Liu, I Reid
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Tuning SVM parameters by using a hybrid CLPSO–BFGS algorithm
S Li, M Tan
Neurocomputing 73 (10-12), 2089-2096, 2010
ML-FOREST: A multi-label tree ensemble method for multi-label classification
Q Wu, M Tan, H Song, J Chen, MK Ng
IEEE transactions on knowledge and data engineering 28 (10), 2665-2680, 2016
Blind image deconvolution by automatic gradient activation
D Gong, M Tan, Y Zhang, A Van den Hengel, Q Shi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Riemannian pursuit for big matrix recovery
M Tan, IW Tsang, L Wang, B Vandereycken, SJ Pan
International Conference on Machine Learning, 1539-1547, 2014
Compressive representation for device-free activity recognition with passive RFID signal strength
L Yao, QZ Sheng, X Li, T Gu, M Tan, X Wang, S Wang, W Ruan
IEEE Transactions on Mobile Computing 17 (2), 293-306, 2017
Visual grounding via accumulated attention
C Deng, Q Wu, Q Wu, F Hu, F Lyu, M Tan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Learning graph structure for multi-label image classification via clique generation
M Tan, Q Shi, A van den Hengel, C Shen, J Gao, F Hu, Z Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
T-C3D: temporal convolutional 3d network for real-time action recognition
K Liu, W Liu, C Gan, M Tan, H Ma
Thirty-second AAAI conference on artificial intelligence, 2018
Fast algorithms for linear and kernel svm+
W Li, D Dai, M Tan, D Xu, L Van Gool
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Matching pursuit LASSO part I: Sparse recovery over big dictionary
M Tan, IW Tsang, L Wang
IEEE Transactions on Signal Processing 63 (3), 727-741, 2014
Minimax sparse logistic regression for very high-dimensional feature selection
M Tan, IW Tsang, L Wang
IEEE Transactions on Neural Networks and Learning Systems 24 (10), 1609-1622, 2013
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