Mingkui Tan
TitleCited byYear
Learning sparse svm for feature selection on very high dimensional datasets
M Tan, L Wang, IW Tsang
Proceedings of the 27th international conference on machine learning (ICML …, 2010
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
The Journal of Machine Learning Research 15 (1), 1371-1429, 2014
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
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
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
Tuning SVM parameters by using a hybrid CLPSO–BFGS algorithm
S Li, M Tan
Neurocomputing 73 (10-12), 2089-2096, 2010
Riemannian pursuit for big matrix recovery
M Tan, IW Tsang, L Wang, B Vandereycken, SJ Pan
International Conference on Machine Learning, 1539-1547, 2014
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
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
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
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
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
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
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
Discovering support and affiliated features from very high dimensions
Y Zhai, M Tan, I Tsang, YS Ong
arXiv preprint arXiv:1206.6477, 2012
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
Online transfer learning with multiple homogeneous or heterogeneous sources
Q Wu, H Wu, X Zhou, M Tan, Y Xu, Y Yan, T Hao
IEEE Transactions on Knowledge and Data Engineering 29 (7), 1494-1507, 2017
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