Sparse Representation

0001-01-01 2 min read

Jianzhou Feng (冯剑舟) I received the B.S. and Ph.D. degree in Electronic Engineering from Shanghai Jiao Tong University, China, in 2007 and 2014, respectively.And I am currently working in Google, Australia. Email: bravefjz@sjtu.edu.cnOffice: Room 321, #5 Building of SEIEE, SJTUAddress: 800 Dongchuan Road, Minhang, Shanghai.

Research Interests

My current research interests include sparse representation, image restoration, and nonnegative matrix factorization.

Experience

Sep. 2009 ~ Jul. 2014	Ph.D. student at Shanghai Jiao Tong University
Sep. 2012 ~ Mar. 2013	Visiting student at Georgia Institute of Technology
Nov. 2011 ~ Apr. 2012	Intern at IBM China Research Lab (Beijing)

Publications

	An Optimized Pixel-Wise Weighting Approach for Patch-Based Image DenoisingJianzhou Feng,Li Song, Xiaoming Huo, Xiaokang Yang, and Wenjun ZhangIEEE Signal Processing Letter, 2014. PDF Code

	Evaluation of Different Algorithms of Nonnegative Matrix Factorization in Temporal PsychoVisual ModulationJianzhou Feng, Xiaoming Huo, Li Song, Xiaokang Yang, and Wenjun ZhangIEEE Transactions on Circuits and Systems for Video Technology, 2014. [PDF](http://172.16.6.108:8000/publications/2013/nmf in v multiplexing.pdf)Code

	Image Restoration via Efficient Gaussian Mixture Model LearningJianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, and Wenjun ZhangIEEE International Conference on Image Processing (ICIP), 2013. PDF Poster Code

	New Bounds on Image Denoising: Viewpoint of Sparse Representation and Non-Local AveragingJianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, and Wenjun ZhangVisual Communications and Image Processing (VCIP), 2012. PDF Slides

	Learning Dictionary via Subspace Segmentation for Sparse RepresentationJianzhou Feng, Li Song, Xiaokang Yang, and Wenjun ZhangIEEE International Conference on Image Processing (ICIP), 2011. [PDF](http://172.16.6.108:8000/publications/2011/LEARNING DICTIONARY VIA SUBSPACE SEGMENTATION FOR SPARSE.pdf)Slides Code

	Learning Sparse Dictionaries with a Popularity-Based ModelJianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, and Wenjun ZhangIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011.. [PDF](http://172.16.6.108:8000/publications/2011/Learning Sparse Dictionaries with a Popularity-Based Model.pdf)Poster Code

	Image Denoising using Local Tangent Space AlignmentJianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, and Wenjun ZhangVisual Communications and Image Processing (VCIP), 2010. [PDF](http://172.16.6.108:8000/publications/2010/Image Denoising using Local Tangent Space Alignment.pdf)Slides

	Sub Clustering K-SVD: Size Variable Dictionary Learning for Sparse RepresentationsJianzhou Feng, Li Song, Xiaokang Yang, and Wenjun ZhangIEEE International Conference on Image Processing (ICIP), 2009. [PDF](http://172.16.6.108:8000/publications/2009/Sub Clustering K-SVD Size Variable Dictionary Learning for Sparse Representations.pdf)Poster

Source Code

Li Song

Professor, IEEE Senior Member

Professor, Doctoral Supervisor, the Deputy Director of the Institute of Image Communication and Network Engineering of Shanghai Jiao Tong University, the Double-Appointed Professor of the Institute of Artificial Intelligence and the Collaborative Innovation Center of Future Media Network, the Deputy Secretary-General of the China Video User Experience Alliance and head of the standards group.