Lei Zhang

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

ZL_2015

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

7/2015~present

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

9/2010~6/2015

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"项目

Papers&Codes

Positions


News

1.     I've been selected as a "Web of Science Highly Cited Researcher" by Thomson Reuters, 2016 (http://highlycited.com).

2.     I'm looking for PhD Students, Postdoctoral Fellows or Research Assistants/Associates in computer vision, machine learning and computational photography. Candidates with research experience on Deep Learning will be considered with higher priority. Please send me your CV if you have interest.

(I will not reply you if I don't receive your full CV.)

Notes: The minimum English-language requirement of PhD study at PolyU is: TOEFL 80 (with writing at least 23) or IELTS 6.5 (with writing at least 6).

Newly accepted

1.     L. Zhang, W. Zuo, "Image Restoration: From Sparse and Low-rank Priors to Deep Priors," IEEE Signal Processing Magazine, Sept. 2017. (lecture-notes article, paper, slides)

2.     P. Li, Q. Wang, L. Zhang, "G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017). (Oral) (paper) (code)

3.     K. Zhang, W. Zuo, S. Gu, L. Zhang, "Learning Deep CNN Denoiser Prior for Image Restoration," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017). (paper) (code)

4.     S. Gu, W. Zuo, S. Guo, Y. Chen, C. Chen, L. Zhang, "Learning Dynamic Guidance for Depth Image Enhancement," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017). (paper) (code)

5.     J. Jiao, Q. Yang, S. He, S. Gu, L. Zhang, R.W.H. Lau, "Joint Image Denoising and Disparity Estimation via Stereo Structure PCA and Noise-tolerant Cost," International Journal of Computer Vision, 2017. (paper) (code)

6.     K. Zhang, W. Zuo, Y. Chen, D. Meng, L. Zhang, "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising," IEEE Trans. on Image Processing, issue 7, pp. 3142-3155, July 2017. (paper) (code)

7.     K. Ma, H. Li, H. Yong, Z. Wang, D. Meng, L. Zhang, "Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach," IEEE Trans. on Image Processing, vol. 26, issue 5, pp. 2519 - 2532, May 2017. (paper) (sup) (code)

8.     P. Li, H. Zeng, Q. Wang, Simon C. K. Shiu, L. Zhang, "High-order Local Pooling and Encoding Gaussians over a Dictionary of Gaussians," IEEE Trans. on Image Processing, 2017. (paper) (code)

9.     R. Tan, K. Zhang, W. Zuo, L. Zhang, "Color Image Demosaicking via Deep Residual Learning," 2017 International Conference on Multimedia and Expo (ICME 2017). (paper) (code)

10. L. Zhu, L. Yang, D. Zhang, L. Zhang, "Learning A Real-time Generic Tracker using Convolutional Neural Networks," 2017 International Conference on Multimedia and Expo (ICME 2017). (paper) (code)


My Google Scholar Citation Profile

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

Recent Research Focus

1.    Image Restoration, including 3D Reconstruction

2.    Image Classification and Face Recognition

3.    Object Detection

4.    Image Quality Assessment

5.    Visual Tracking

 


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 2017

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

Image and Video Enhancement, Deep Learning

Expected to graduate in 2018

YANG Lingxiao

Visual Recognition, Visual Tracking, Deep Learning

Expected to graduate in 2018

XIAO Jin

Video Denoising and Restoration via Deep Learning

Expected to graduate in 2019

LI Lida

Face Detection, Object Detection, Deep Learning

Expected to graduate in 2019

ZENG Hui

Deep Learning, Image Quality Assessment

Expected to graduate in 2019

XIANG Wangmeng

3D Reconstruction, Deep Learning

Expected to graduate in 2020

LIANG Zhetong

Computational Imaging, Camera Pipeline

Expected to graduate in 2020