Lei Zhang

bbme

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@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.


http://t3.gstatic.com/images?q=tbn:ANd9GcSHajD6zIxvR7ORoWo3YUt1I4QtdrnCXbMSavwRvV19gHyDytAfYgMC900297235[1]

https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRG-DBvVsxquqkwmL0eOLCIk0mi0tuMAXQJG8m9BdC6tCZXa-pB

The Hong Kong PhD Fellowship Program

“香港博士”计划

2015 Hong Kong Scholars Program

2015香江学者计划

西北工业大学自动化学院

人才特区

图像处理,计算机视觉,模式识别  研究组诚聘英才

Papers&Codes

Positions


News:

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

Deadline: Dec 31, 2014. (Call for Papers)

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

 

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 will be available soon)

·        S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014. (paper and code will be available soon) (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 and 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,” to appear in IEEE Trans. on Image Processing. (paper) (code)

·        J. Xie, L. Zhang, J. You and S. Shiu, “Effective Texture Classification by Texton Encoding Induced Statistical Features,” to appear in Pattern Recognition. (paper) (code will be available soon) (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 will be available soon)

·        K. Zhang, L. Zhang, and M. Yang, “Fast Compressive Tracking,” to appear in IEEE Trans. on Pattern Analysis and Machine Intelligence, 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

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

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

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; now doing postdoc at New York University at Dubai

YANG Meng

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

 

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