Lei Wang

Cited by

	All	Since 2016
Citations	6027	3705
h-index	39	32
i10-index	94	72

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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
Yinghuan ShiNanjing UniversityVerified email at nju.edu.cn
Huan LiuProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Wanqing LiUniversity of WollongongVerified email at uow.edu.au
Jianjia ZhangSchool of Computer Science, UTSVerified email at uts.edu.au
Jing HuoNanjing UniversityVerified email at nju.edu.cn
Philip O. OgunbonaProfessor of Computer Science, University of WollongongVerified email at uow.edu.au
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
Lei QiSoutheast UniversityVerified email at seu.edu.cn

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	562	2011
AdaBoost with SVM-based component classifiers X Li, L Wang, E Sung Engineering Applications of Artificial Intelligence 21 (5), 785-795, 2008	391	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	290	2011
Efficient spectral feature selection with minimum redundancy Z Zhao, L Wang, H Liu Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010	250	2010
Feature selection with kernel class separability L Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (9), 1534-1546, 2008	223	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	223	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	181	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	147	2004
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	142	2016
Multiple Kernel Extreme Learning Machine X Liu, L Wang, J Yin, E Zhu, J Zhang Neurocomputing, 2013	141	2013
Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval L Wang, KL Chan, Z Zhang	138	2003
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	126	2018
Positive semidefinite metric learning with boosting C Shen, J Kim, L Wang, A Hengel arXiv preprint arXiv:0910.2279, 2009	116	2009
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	103	2005
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	102	2019
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	99	2005
Positive semidefinite metric learning using boosting-like algorithms C Shen, J Kim, L Wang, A Van Den Hengel MIT Press, 2012	96	2012
Revisiting local descriptor based image-to-class measure for few-shot learning W Li, L Wang, J Xu, J Huo, Y Gao, J Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	93	2019
Encoding high dimensional local features by sparse coding based fisher vectors L Liu, C Shen, L Wang, A Hengel, C Wang arXiv preprint arXiv:1411.6406, 2014	90	2014
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	86	2004

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