Xinwang Liu - Google Scholar Citations

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	All	Since 2015
Citations	1922	1660
h-index	21	19
i10-index	35	35

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20122013201420152016201720182019202041 86 125 155 195 208 336 712 46

Co-authors

Lei WangSchool of Computing and Information Technology, University of WollongongVerified email at uow.edu.au
Jian ZhangUniversity of Technology, Sydney, AustraliaVerified email at uts.edu.au
Chang TangSchool of Computer Science, China University of Geosciences, Wuhan, ChinaVerified email at cug.edu.cn
Xifeng GuoNational University of Defense TechnologyVerified email at nudt.edu.cn
Qiang LiuNational University of Defense TechnologyVerified email at nudt.edu.cn
Lingqiao LiuSenior Lecturer of the University of AdelaideVerified email at adelaide.edu.au
Chengzhang ZhuNational University of Defense Technology; University of Technology, SydneyVerified email at student.uts.edu.au
Dinggang ShenJ. H. Distinguished Investigator; Professor of Radiology; Director, Center for Image Analysis andVerified email at med.unc.edu
Wen Gao（高文）Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
Guang-Bin HuangFull Professor, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Chenping HouNational University of Defense TechnologyVerified email at nudt.edu.cn
Yawei ZhaoPhD candidate of Computer Science, National University of Defense TechnologyVerified email at nudt.edu.cn
Huan LiuProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Luping ZhouSchool of Electrical and Information Engineering, University of SydneyVerified email at sydney.edu.au
Jun LiuInfinia MLVerified email at asu.edu
Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Zhiping Cai(蔡志平)National University of Defense TechnologyVerified email at nudt.edu.cn
Changwang Zhang (张长旺)University College LondonVerified email at ucl.ac.uk
Qiang LiuUniversity of SaskatchewanVerified email at usask.ca

Xinwang Liu

National University of defense Technology

Verified email at nudt.edu.cn - Homepage

Support Vector Machine Multiple Kernel Learning Feature Selection


Title	Cited by	Year
In defense of soft-assignment coding L Liu, L Wang, X Liu 2011 International Conference on Computer Vision, 2486-2493, 2011	519	2011
Global and local structure preservation for feature selection X Liu, L Wang, J Zhang, J Yin, H Liu IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1083-1095, 2013	138	2013
Deep learning for generic object detection: A survey L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen arXiv preprint arXiv:1809.02165, 2018	130	2018
Multiple kernel extreme learning machine X Liu, L Wang, GB Huang, J Zhang, J Yin Neurocomputing 149, 253-264, 2015	118	2015
Improved deep embedded clustering with local structure preservation. X Guo, L Gao, X Liu, J Yin IJCAI, 1753-1759, 2017	97	2017
Deep clustering with convolutional autoencoders X Guo, X Liu, E Zhu, J Yin International Conference on Neural Information Processing, 373-382, 2017	76	2017
An efficient approach to integrating radius information into multiple kernel learning X Liu, L Wang, J Yin, E Zhu, J Zhang IEEE transactions on cybernetics 43 (2), 557-569, 2013	63	2013
Multiple kernel k-means clustering with matrix-induced regularization X Liu, Y Dou, J Yin, L Wang, E Zhu Thirtieth AAAI Conference on Artificial Intelligence, 2016	50	2016
Multiple kernel k-means with incomplete kernels X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao IEEE transactions on pattern analysis and machine intelligence, 2019	43	2019
Sample-adaptive multiple kernel learning X Liu, L Wang, J Zhang, J Yin Twenty-eighth AAAI conference on artificial intelligence, 2014	31	2014
Late fusion incomplete multi-view clustering X Liu, X Zhu, M Li, L Wang, C Tang, J Yin, D Shen, H Wang, W Gao IEEE transactions on pattern analysis and machine intelligence, 2018	30	2018
An incremental feature learning algorithm based on least square support vector machine X Liu, G Zhang, Y Zhan, E Zhu International Workshop on Frontiers in Algorithmics, 330-338, 2008	29	2008
Large margin subspace learning for feature selection B Liu, B Fang, X Liu, J Chen, Z Huang, X He Pattern Recognition 46 (10), 2798-2806, 2013	28	2013
Robust graph regularized unsupervised feature selection C Tang, X Zhu, J Chen, P Wang, X Liu, J Tian Expert Systems with Applications 96, 64-76, 2018	26	2018
Multiple kernel learning based multi-view spectral clustering D Guo, J Zhang, X Liu, Y Cui, C Zhao 2014 22nd International Conference on Pattern Recognition, 3774-3779, 2014	26	2014
Optimal neighborhood kernel clustering with multiple kernels X Liu, S Zhou, Y Wang, M Li, Y Dou, E Zhu, J Yin Thirty-First AAAI Conference on Artificial Intelligence, 2017	24	2017
Multiple kernel clustering with local kernel alignment maximization M Li, X Liu, L Wang, Y Dou, J Yin, E Zhu	24	2016
Robust unsupervised feature selection via dual self-representation and manifold regularization C Tang, X Liu, M Li, P Wang, J Chen, L Wang, W Li Knowledge-Based Systems 145, 109-120, 2018	22	2018
PR-ELM: parallel regularized extreme learning machine based on cluster Y Wang, Y Dou, X Liu, Y Lei Neurocomputing 173, 1073-1081, 2016	22	2016
An Adaptive Approach to Learning Optimal Neighborhood Kernels X Liu, J Yin, L Wang, L Liu, J Liu, C Hou, J Zhang IEEE T. Cybernetics 43 (1), 371-384, 2012	22	2012

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