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Lei Zhang |
There are so many unknowns in
the universe and life We are just trying to understand
a little …… |
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Associate Professor Office: PQ
816 Phone: 852-27667355 |
Education
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3/1998~10/2001 |
PhD |
Dept. of Automatic Control,
Northwestern Polytechnical
University, Xi’an, China. |
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9/1995~3/1998 |
M.Sc |
Dept. of Automatic Control,
Northwestern Polytechnical
University, Xi’an, China. |
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9/1991~7/1995 |
B.Sc |
Dept. of Aeronautical
Engineering, Shenyang
Inst. of Aeronautical Engineering, Shenyang, China. |
Work
Experience
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9/2010~present |
Associate Professor, Dept.
of Computing, Hong Kong Polytechnic University, Hong Kong. |
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1/2006~8/2010 |
Assistant Professor, Dept.
of Computing, Hong Kong Polytechnic University, Hong Kong. |
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1/2003~1/2006 |
Postdoctoral Fellow, Dept. of Electrical and Computer
Engineering, McMaster University,
Canada. |
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1/2001~1/2003 |
Research
Assistant/Associate, Dept. of Computing, Hong Kong Polytechnic University,
Hong Kong. |
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西北工业大学自动化学院 人才特区 |
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![MC900297235[1]](index_files/image006.gif)
News:
Several postdoc positions are now available. Please
send me your CV if you have interest.
Newly accepted
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·
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) |
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·
S. Cai,
W. Zuo, L. Zhang, X. Feng,
and P. Wang, “Support Vector Guided Dictionary Learning,” In ECCV 2014. (paper, sup) (code) |
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·
Q. Wang, W. Zuo,
L. Zhang, and P. Li, “Shrinkage Expansion Adaptive Metric Learning,” In ECCV 2014. (paper, sup) (code) |
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·
X.
Zhu, L. Zhang, and Z. Huang, “A Sparse Embedding and Least Variance Encoding
Approach to Hashing,” to appear in IEEE
Trans. on Image Processing, 2014. (paper) (code will be available soon) |
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·
S. Gu, L.
Zhang, W. Zuo, and X. Feng,
“Weighted Nuclear Norm Minimization with Application to Image
Denoising,” In CVPR 2014. (paper) (sup) (code) (Excellent
denoising results in terms of both PSNR and visual quality!) |
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·
Q. Xie,
D. Meng, S. Gu, L. Zhang,
W. Zuo, X. Feng and Z. Xu, “On the Optimal Solution of
Weighted Nuclear Norm Minimization” Technical Report, arXiv: 1405.6012. (report) (In this technical report, we give a more
complete analysis of the optimal solution of WNNM.) |
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W. Lian and L. Zhang, “Point Matching in the Presence of Outliers in Both Point Sets: A
Concave Optimization Approach,” In CVPR 2014. (paper) (sup) (code will be available soon) |
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·
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) |
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·
M. Yang, L. Zhang, X. Feng,
and D. Zhang, “Sparse Representation based Fisher Discrimination Dictionary
Learning for Image Classification,” to appear in International Journal of Computer Vision. (paper) (code will be available soon) (This
is an extension of our FDDL work in ICCV’11) |
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·
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) |
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·
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) |
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·
P.
Zhu, W. Zuo, L. Zhang, S. Shiu,
and D. Zhang, “Image Set based Collaborative Representation for Face
Recognition,” to appear in IEEE Trans.
on Information Forensics and Security, to appear. (paper) (code) |
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·
Q. Zhao,
D. Meng, Z. Xu, W. Zuo, and L. Zhang, “Robust principal component analysis
with complex noise,” In ICML 2014. (paper) (code) |
Preprint
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·
F.
Wang, W. Zuo, L. Zhang, Deyu
Meng, and David Zhang, “A Kernel Classification
Framework for Metric Learning,” arXiv:1309.5823. (paper) |
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My Google Citation Profile |
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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)
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PhD Students Supervised
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Biometrics, Computer Vision and
Image Processing |
Graduated in 2011; now
with Tongji University, Shanghai, China |
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Image Segmentation and Graph-based
Optimization |
Graduated in 2011; now
with Southwest Jiaotong University, Chengdu, China |
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XIE Jin |
Texture Classification, Dictionary
Learning and Sparse Representation |
Graduated in 2012; now
doing postdoc at New York University at Dubai |
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Face Recognition, Sparse
Representation and Computer Vision |
Graduated in 2012; now
with Shenzhen University, Shenzhen, China |
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Visual Tracking, Image Segmentation
and Level Set Methods |
Graduated in 2013; now
with Nanjing Univ. of Information Engineering, Nanjing,
China |
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Metric Learning, Computer Vision
and Pattern Classification |
Expected to graduate in
2014 |
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Image Restoration, Computer Vision,
Low Rank and Matrix Factorization |
Expected to graduate in
2016 |
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XU Jun |
Sparse and Low Rank Methods,
Computer Vision, Machine Learning |
Expected to graduate in
2017 |
Current and Past Research
Collaborators
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Image Processing, Computer Vision,
Machine Learning |
Harbin Institute of Technology,
Harbin, China |
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Computer Vision, Machine Learning,
Multimedia |
Sun Yat-Sen University, Guangzhou, China |
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Matrix Factorization, Machine
Learning |
Xi’an Jiaotong University, Xi’an, China |
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Computer Vision, Machine Learning |
Dalian University of
Technology, Dalian, China |
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Rough Set Theory, Machine Learning |
Tianjin University,
Tianjin, China |
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Image/Video Restoration, Sparse Representation |
Xidian University, Xi’an, China |