Mingkui Tan
Title
Cited by
Cited by
Year
Learning sparse svm for feature selection on very high dimensional datasets
M Tan, L Wang, IW Tsang
ICML, 2010
1922010
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
1622018
Towards ultrahigh dimensional feature selection for big data
M Tan, IW Tsang, L Wang
Journal of Machine Learning Research, 2014
1572014
Gene selection using hybrid particle swarm optimization and genetic algorithm
S Li, X Wu, M Tan
Soft Computing 12 (11), 1039-1048, 2008
1512008
Heterogeneous domain adaptation for multiple classes
JT Zhou, IW Tsang, SJ Pan, M Tan
Artificial intelligence and statistics, 1095-1103, 2014
1112014
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
862011
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
852018
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
772015
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
722014
Deep high-resolution representation learning for visual recognition
J Wang, K Sun, T Cheng, B Jiang, C Deng, Y Zhao, D Liu, Y Mu, M Tan, ...
IEEE transactions on pattern analysis and machine intelligence, 2020
712020
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
562018
Tuning SVM parameters by using a hybrid CLPSO–BFGS algorithm
S Li, M Tan
Neurocomputing 73 (10-12), 2089-2096, 2010
552010
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
532016
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
522017
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
522016
Riemannian pursuit for big matrix recovery
M Tan, IW Tsang, L Wang, B Vandereycken, SJ Pan
International Conference on Machine Learning, 1539-1547, 2014
472014
Structured binary neural networks for accurate image classification and semantic segmentation
B Zhuang, C Shen, M Tan, L Liu, I Reid
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
462019
Graph convolutional networks for temporal action localization
R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan
Proceedings of the IEEE International Conference on Computer Vision, 7094-7103, 2019
452019
Domain-symmetric networks for adversarial domain adaptation
Y Zhang, H Tang, K Jia, M Tan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
432019
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
392015
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