Lei Zhang

feixiang

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

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.     Some 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 PhD study in PolyU is: TOEFL 90 (with writing at least 23) or IETLS 6.5 (with writing at least 6).

 

Newly accepted

·        Lin Zhang, Lei Zhang, and Alan C. Bovik, “A Feature-Enriched Completely Blind Image Quality Evaluator,” IEEE Trans. on Image Processing, vol. 24, issue 8, pp. 2579 – 2591, Aug. 2015. (paper) (code and website) (An "opinion-unaware" method which outperforms all "opinion-aware" methods!)

·        W. Zuo, D. Ren, S. Gu, L. Lin, and L. Zhang, “Discriminative Learning of Iteration-wise Priors for Blind Deconvolution,” in CVPR 2015. (paper, sup) (A highly effective blind image deblurring algorithm!)  

·        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)

·        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)


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

Graduate in 2014; now with Tianjin University, Tianjin, China

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

LI Hui

HDR Imaging, Multiple Exposure Fusion

Expected to graduate in 2018

CAI Jianrui

Visual Tracking, Scene Understanding

Expected to graduate in 2018

YANG Lingxiao

Object Detection, Visual Recognition

Expected to graduate in 2018

ZHU Chengyang

Scene Classification, Pattern Recognition

Expected to graduate in 2019

XIAO Jin

Image Restoration, Image Modeling

Expected to graduate in 2019

 

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