Lei Zhang

There are so many unknowns in the universe and life

We are just trying to understand a little ……

Associate Professor
Department of Computing
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong


Office: PQ816

Phone:  852-27667355
Email: cslzhang at comp.polyu dot edu.hk




Dept. of Automatic Control, Northwestern Polytechnical University, Xi’an, China.



Dept. of Automatic Control, Northwestern Polytechnical University, Xi’an, China.



Dept. of Aeronautical Engineering, Shenyang Inst. of Aeronautical Engineering, Shenyang, China.

Work Experience


Associate Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.


Assistant Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.


Postdoctoral Fellow, Dept. of Electrical and Computer Engineering, McMaster University, Canada.


Research Assistant/Associate, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.



The Hong Kong PhD Fellowship Program


2015 Hong Kong Scholars Program




图像处理,计算机视觉,模式识别  研究组诚聘英才




1.     Neurocomputing special issue in on “Smart Computing for Large Scale Visual Data Sensing and Processing”. (Call for Papers)

Extended Deadline: Jan. 31, 2015.

Submission system is now open:

Ø Go to the submission website http://ees.elsevier.com/neucom/default.asp.

Ø Select SI: SmartComp for Vision when you reach the “Article Type” step in the submission process.


2.     Several Postdoctoral Fellow, PhD Student, and Research Assistant positions are available. Please send me your CV if you have interest. 

Notes: The minimum English-language requirement of MPhil/PhD study in PolyU is: TOEFL 90 (with writing at least 23) or IETLS 6.5 (with writing at least 6).


Newly accepted

·        F. Wang, W. Zuo, L. Zhang, Deyu Meng, and David Zhang, “A Kernel Classification Framework for Metric Learning,” to appear in IEEE Transactions on Neural Networks and Learning Systems. (paper) (code) (We make metric learning hundred to thousand times faster!)

·        S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014. (paper, sup)  (code) (From “dictionary learning” to “dictionary pair learning”!)

·        P. Zhu, M. Yang, L. Zhang, and Il-Yong Lee, “Local Generic Representation for Face Recognition with Single Sample per Person,” In ACCV 2014. (paper) (code will be available soon)

·        W. Xue, X. Mou, L. Zhang, A. Bovik, and X. Feng, “Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features,” IEEE Trans. on Image Processing, vol. 23, issue 11, pp. 4850 – 4862, Nov. 2014. (paper) (code)

·        J. Xie, L. Zhang, J. You and S. Shiu, “Effective Texture Classification by Texton Encoding Induced Statistical Features,” Pattern Recognition, vol. 48, issue 2, pp. 447-457, February 2015. (paper) (code) (A very effective texture classification scheme)

·        K. Zhang, L. Zhang, Q. Liu, D. Zhang, and M-H. Yang, “Fast Tracking via Dense Spatio-Temporal Context Learning,In ECCV 2014. (paper) (code and website)

·        S. Cai, W. Zuo, L. Zhang, X. Feng, and P. Wang, “Support Vector Guided Dictionary Learning,” In ECCV 2014. (paper, sup) (code)

·        Q. Wang, W. Zuo, L. Zhang, and P. Li, “Shrinkage Expansion Adaptive Metric Learning,” In ECCV 2014. (paper, sup) (code)

·        X. Zhu, L. Zhang, and Z. Huang, “A Sparse Embedding and Least Variance Encoding Approach to Hashing,” IEEE Trans. on Image Processing, vol. 23, issue 9, pp. 3737- 3750, Sept. 2014. (paper) (code)

·        K. Zhang, L. Zhang, and M. Yang, “Fast Compressive Tracking,IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 36, no. 10, pp. 2002-2015, Oct. 2014. (paper) (code and website) (This is an extension of our CT tracker in ECCV’12)

·        M. Yang, L. Zhang, X. Feng, and D. Zhang, “Sparse Representation based Fisher Discrimination Dictionary Learning for Image Classification,” International Journal of Computer Vision, vol. 109, issue 3, pp. 209-232, Sept. 2014. (paper) (code) (This is an extension of our FDDL work in ICCV’11)

·        W. Zuo, L. Zhang, C. Song, D. Zhang, and H. Gao, “Gradient Histogram Estimation and Preservation for Texture Enhanced Image Denoising,” IEEE Trans. on Image Processing, vol. 23, issue 6, pp. 2459-2472, June 2014. (paper) (code) (This is an extension of our GHP work in CVPR’13)

·        J. Jiang, L. Zhang, and J. Yang, “Mixed Noise Removal by Weighted Encoding with Sparse Nonlocal Regularization,” IEEE Trans. on Image Processing, vol. 23, issue 6, pp. 2651-2662, June 2014. (paper) (sup) (code)

·        P. Zhu, W. Zuo, L. Zhang, S. Shiu, and D. Zhang, “Image Set based Collaborative Representation for Face Recognition,” IEEE Trans. on Information Forensics and Security, vol. 9, no. 7, pp. 1120-1132, July 2014. (paper) (code)

My Google Citation Profile


Recent Research Focus

·       Sparse Representation, Dictionary Learning and Low Rank Methods for Image Restoration and Low Level Vision

·       Collaborative Representation based Classifier

·       Image Quality Assessment

·       Visual Tracking

·       Image Segmentation and Image Segmentation Evaluation

·       Biometrics (face, finger-knuckle-print and palmprint) 


PhD Students Supervised


Biometrics, Computer Vision and Image Processing

Graduated in 2011; now with Tongji University, Shanghai, China


Image Segmentation and Graph-based Optimization

Graduated in 2011; now with Southwest Jiaotong University, Chengdu, China


Texture Classification, Dictionary Learning and Sparse Representation

Graduated in 2012; now doing postdoc at New York University at Dubai


Face Recognition, Sparse Representation and Computer Vision

Graduated in 2012; now with Shenzhen University, Shenzhen, China

ZHANG Kaihua

Visual Tracking, Image Segmentation and Level Set Methods

Graduated in 2013; now with Nanjing Univ. of Information Engineering, Nanjing, China

ZHU Pengfei

Metric Learning, Computer Vision and Pattern Classification

Expected to graduate in 2014

GU Shuhang

Image Restoration, Computer Vision, Low Rank and Matrix Factorization

Expected to graduate in 2016

XU Jun

Sparse and Low Rank Methods, Computer Vision, Machine Learning

Expected to graduate in 2017

CAI Sijia

Machine Learning, Computer Vision

Expected to graduate in 2017


Research Collaborators

ZUO Wangmeng

Image Processing, Computer Vision, Machine Learning

Harbin Institute of Technology, Harbin, China

LIN Liang

Computer Vision, Machine Learning, Multimedia

Sun Yat-Sen University, Guangzhou, China


Matrix Factorization, Machine Learning

Xi’an Jiaotong University, Xi’an, China

LI Peihua

Computer Vision, Machine Learning

Dalian University of Technology, Dalian, China