Lei Wang

Cited by

	All	Since 2015
Citations	5662	3887
h-index	36	32
i10-index	93	78

920

460

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690

2004200520062007200820092010201120122013201420152016201720182019202018 31 56 62 96 109 143 186 256 354 426 469 546 568 620 766 905

Co-authors

Luping ZhouSchool of Electrical and Information Engineering, University of SydneyVerified email at sydney.edu.au
Lingqiao LiuSenior Lecturer of the University of AdelaideVerified email at adelaide.edu.au
Xinwang LiuNational University of defense TechnologyVerified email at nudt.edu.cn
Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Kap Luk ChanNanyang Technological UniversityVerified email at ntu.edu.sg
Dinggang ShenProfessor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Jian ZhangUniversity of Technology, Sydney, AustraliaVerified email at uts.edu.au
Huan LiuProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Yinghuan ShiNanjing UniversityVerified email at nju.edu.cn
Wanqing LiUniversity of WollongongVerified email at uow.edu.au
Jianjia ZhangSchool of Computer Science, UTSVerified email at uts.edu.au
Philip O. OgunbonaProfessor of Computer Science, University of WollongongVerified email at uow.edu.au
Jing HuoNanjing UniversityVerified email at nju.edu.cn
Junae KimDST group, AustraliaVerified email at dst.defence.gov.au
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Anton van den HengelDirector, Australian Institute for Machine Learning, UoA | Director of Applied Science, AmazonVerified email at adelaide.edu.au
Zhimin GaoUniversity of WollongongVerified email at uowmail.edu.au
Wenbin LiNanjing UniversityVerified email at nju.edu.cn
Jun ShenUniversity of WollongongVerified email at uow.edu.au
Zheng ZhaoGoogle Inc.Verified email at google.com

Lei Wang

School of Computing and Information Technology, University of Wollongong

Verified email at uow.edu.au - Homepage

Computer Vision Pattern Recognition Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
In defense of soft-assignment coding L Liu, L Wang, X Liu 2011 International Conference on Computer Vision, 2486-2493, 2011	544	2011
AdaBoost with SVM-based component classifiers X Li, L Wang, E Sung Engineering Applications of Artificial Intelligence 21 (5), 785-795, 2008	373	2008
On similarity preserving feature selection Z Zhao, L Wang, H Liu, J Ye IEEE Transactions on Knowledge and Data Engineering 25 (3), 619-632, 2011	285	2011
Efficient spectral feature selection with minimum redundancy. Z Zhao, L Wang, H Liu AAAI, 673-678, 2010	242	2010
Feature selection with kernel class separability L Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (9), 1534-1546, 2008	216	2008
Generalized 2D principal component analysis for face image representation and recognition H Kong, L Wang, EK Teoh, X Li, JG Wang, R Venkateswarlu Neural Networks 18 (5-6), 585-594, 2005	210	2005
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 (TNNLS), 2013	173	2013
Multilabel SVM active learning for image classification X Li, L Wang, E Sung 2004 International Conference on Image Processing, 2004. ICIP'04. 4, 2207-2210, 2004	140	2004
Multiple Kernel Extreme Learning Machine X Liu, L Wang, J Yin, E Zhu, J Zhang Neurocomputing, 2013	135	2013
Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval L Wang, KL Chan, Z Zhang	130	2003
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks Z Gao, L Wang, L Zhou, J Zhang IEEE Journal of Biomedical and Health Informatics, 2016	126	2016
Positive semidefinite metric learning with boosting C Shen, J Kim, L Wang, A Hengel Advances in neural information processing systems, 1651-1659, 2009	113	2009
3D conditional generative adversarial networks for high-quality PET image estimation at low dose Y Wang, B Yu, L Wang, C Zu, DS Lalush, W Lin, X Wu, J Zhou, D Shen, ... Neuroimage 174, 550-562, 2018	104	2018
A framework of 2D Fisher discriminant analysis: application to face recognition with small number of training samples H Kong, L Wang, EK Teoh, JG Wang, R Venkateswarlu 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	101	2005
A study of AdaBoost with SVM based weak learners X Li, L Wang, E Sung Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005	98	2005
Positive semidefinite metric learning using boosting-like algorithms C Shen, J Kim, L Wang, A Van Den Hengel The Journal of Machine Learning Research 13, 1007-1036, 2012	92	2012
Encoding high dimensional local features by sparse coding based fisher vectors L Liu, C Shen, L Wang, A Van Den Hengel, C Wang Advances in neural information processing systems, 1143-1151, 2014	87	2014
Multiple Kernel -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 42 (5), 1191-1204, 2019	86	2019
Multilevel video representation with application to keyframe extraction XD Yu, L Wang, Q Tian, P Xue 10th International Multimedia Modelling Conference, 2004. Proceedings., 117-123, 2004	84	2004
Social friend recommendation based on multiple network correlation S Huang, J Zhang, L Wang, XS Hua IEEE transactions on multimedia 18 (2), 287-299, 2015	71	2015

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