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: PQ 729 Phone:  852-27667355 Email: cslzhang@comp.polyu.edu.hk

Education

3/1998~10/2001	PhD	Dept. of Automatic Control, Northwestern Polytechnical University, Xi’an, China.
9/1995~3/1998	M.Sc	Dept. of Automatic Control, Northwestern Polytechnical University, Xi’an, China.
9/1991~7/1995	B.Sc	Dept. of Aeronautical Engineering, Shenyang Inst. of Aeronautical Engineering, Shenyang, China.

---

Work Experience

9/2010~present	Associate Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.
1/2006~8/2010	Assistant Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.
1/2003~1/2006	Postdoctoral Fellow, Dept. of Electrical and Computer Engineering, McMaster University, Canada.
1/2001~1/2003	Research Assistant/Associate, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

---

Papers&Codes	Positions

Newly accepted:

· W. Xue, L. Zhang, X. Mou, and A. C. Bovik, “Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index,” to appear, IEEE Trans. on Image Processing. (paper) (code) (website) (A very simple but highly efficient and effective full reference IQA algorithm!)

· G. Gao, L. Zhang, J. Yang, L. Zhang, and D. Zhang, “Reconstruction based Finger-Knuckle-Print Verification with Score Level Adaptive Binary Fusion,” to appear, IEEE Trans. on Image Processing. (paper)

Preprint:

· K. Zhang, L. Zhang, M. Yang, and D. Zhang, “Fast Tracking via Spatio-Temporal Context Learning,” arXiv:1311.1939. (paper) (code and website)

· F. Wang, W. Zuo, L. Zhang, Deyu Meng, and David Zhang, “A Kernel Classification Framework for Metric Learning,” arXiv:1309.5823. (paper)

· P. Zhu, W. Zuo, L. Zhang, S. Shiu, and D. Zhang, “Image Set based Collaborative Representation for Face Recognition,” arXiv:1308.6687. (paper)

· L. Zhang, M. Yang, X. Feng, Y. Ma, and D. Zhang, “Collaborative Representation based Classification for Face Recognition,” arXiv:1204.2358. (paper) (This paper is a substantial extension of our ICCV11 paper “Sparse Representation or Collaborative Representation: Which Helps Face Recognition?”. The role of sparsity and regularization in face representation and classification is more comprehensively analyzed.)

---

My Google Citation Profile

http://scholar.google.com/citations?user=tAK5l1IAAAAJ

Recent Research Focus

· Sparse Representation, Dictionary Learning and Low Rank Methods

· 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

ZHANG Lin	Biometrics, Computer Vision and Image Processing	Graduated in 2011; now with Tongji University, Shanghai, China
PENG Bo	Image Segmentation and Graph-based Optimization	Graduated in 2011; now with Southwest Jiaotong University, Chengdu, China
XIE Jin	Texture Classification, Dictionary Learning and Sparse Representation	Graduated in 2012
YANG Meng	Face Recognition, Sparse Representation and Computer Vision	Graduated in 2012; now working as Postdoc at ETH Zurich
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
GU Shuhang	Image Restoration, Low Rank and Matrix Factorization

Current and Past 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
MENG Deyu	Matrix Factorization, Machine Learning	Xi’an Jiaotong University, Xi’an, China
LI Peihua	Computer Vision, Machine Learning	Dalian University of Technology, Dalian, China
HU Qinghua	Rough Set Theory, Machine Learning	Tianjin University, Tianjin, China
DONG Weisheng	Image/Video Restoration, Sparse Representation	Xidian University, Xi’an, China

---