Mingkui Tan

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Ivor W. TsangResearch Director & Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
Li WangUniversity of Texas at ArlingtonVerified email at uta.edu
Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Professor Javen Qinfeng ShiDirector for Probabilistic Graphical Model Group, UoA | DeepSightX | Smarter RegionsVerified email at adelaide.edu.au
Anton van den HengelDirector, Australian Institute for Machine Learning, UoA | Director of Applied Science, AmazonVerified email at adelaide.edu.au
Shutao Li (李树涛)College of Electrical and Information Engineering, Hunan University (湖南大学电气与信息工程学院)Verified email at hnu.edu.cn
Dong Xu, IEEE Fellow, Chair in Comp...University of SydneyVerified email at sydney.edu.au
Sinno Jialin PanNanyang Technological University, SingaporeVerified email at ntu.edu.sg
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
Yan YanWashington State UniversityVerified email at wsu.edu
Yi YangUniversity of Technology SydneyVerified email at uts.edu.au
James T. KwokProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
Bart VandereyckenAssociate Professor, University of GenevaVerified email at unige.ch
Zhen ZhangThe University of AdelaideVerified email at adelaide.edu.au
Yew-Soon OngProfessor of Computer Science, IEEE FellowVerified email at ntu.edu.sg
Tat-Jen ChamNanyang Technological UniversityVerified email at ntu.edu.sg
Li WangUniversity of WashingtonVerified email at vcu.edu

Mingkui Tan

South China University of Technology

Verified email at scut.edu.cn - Homepage

Machine Learning Large-scale Optimization


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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	248	2020
Discrimination-aware channel pruning for deep neural networks Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu arXiv preprint arXiv:1810.11809, 2018	248	2018
Learning sparse svm for feature selection on very high dimensional datasets M Tan, L Wang, IW Tsang ICML, 2010	199	2010
Towards ultrahigh dimensional feature selection for big data M Tan, IW Tsang, L Wang Journal of Machine Learning Research, 2014	163	2014
Gene selection using hybrid particle swarm optimization and genetic algorithm S Li, X Wu, M Tan Soft Computing 12 (11), 1039-1048, 2008	160	2008
Heterogeneous domain adaptation for multiple classes JT Zhou, IW Tsang, SJ Pan, M Tan Artificial intelligence and statistics, 1095-1103, 2014	119	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	112	2018
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/CVF International Conference on Computer Vision …, 2019	107	2019
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	94	2015
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	91	2011
Domain-symmetric networks for adversarial domain adaptation Y Zhang, H Tang, K Jia, M Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	86	2019
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	77	2018
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	77	2014
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/CVF Conference on Computer Vision and Pattern …, 2019	74	2019
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	59	2016
Tuning SVM parameters by using a hybrid CLPSO–BFGS algorithm S Li, M Tan Neurocomputing 73 (10-12), 2089-2096, 2010	59	2010
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	58	2016
T-C3D: Temporal convolutional 3D network for real-time action recognition K Liu, W Liu, C Gan, M Tan, H Ma Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	56	2018
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	56	2017
Riemannian pursuit for big matrix recovery M Tan, IW Tsang, L Wang, B Vandereycken, SJ Pan International Conference on Machine Learning, 1539-1547, 2014	53	2014

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