Weiyao Lin

Department of Electronic Engineering
Shanghai Jiao Tong University

Email: wylin AT sjtu DOT edu DOT cn
Phone: (86)-21-34208843

Weiyao Lin received his B.S. degree and M.E. degree from Shanghai Jiao Tong University in 2003 and 2005, respectively, and Ph.D. degree from University of Washington, Seattle in 2010, all in electrical engineering. His Ph.D advisor is Prof. Ming-Ting Sun, and his co-advisors are Prof. Radha Poovendran and Dr. Zhengyou Zhang. He also worked as research interns at Motorola Inc., RealNetworks, and Thomson Technology during 2006-2010, respectively.
Since 2010, he joined the Department of Electronic Engineering, Shanghai Jiao Tong University. Currently, he is a professor at Shanghai Jiao Tong University. Dr. Lin's publications and citations on Google Scholar can be found here.

Research Interests (See highlighted works for details)

Video Content Analysis, Computer Vision
Human-Computer Interaction, Graphics
Multimedia Web Search, Social Media
Video & Image Processing
Video Coding & Compression

[2019/05] NEW! Prof. Weiyao Lin was selected as ICME'2019 Multimedia Rising Star!
[2019/05] NEW! Prof. Weiyao Lin was appointed as an associate editor for IEEE Transactions on Image Processing
[2019/05] NEW! The 1st workshop & challenge on Computer Vision for Wildlife Conservation (CVWC) in conjunction with ICCV 2019 is calling for participants!
[2019/01] We release the ROAD group datasets for group re-identification!
[2019/01] "The 1st International Workshop on Big Surveillance Data Analysis and Processing (in conjunction with ICME 2019)" will take place on Jul. 8 in Shanghai!
[2018/09] Our team won the second prize in "Deep-learning based Post Processing for Compressed Images" challenge
[2018/07] Prof. Weiyao Lin won the "Outstanding Area Chair Award" for ICME'18
[2018/02] Our work won the best collaborative project award by ZTE
[2017/12] Master student in our lab Yihao Zhang won the Excellent Master Thesis award by Chinese Institute of Electronics. Congratulations!
[2017/08] Our multiple object tracking approach achieves the best performances on MOT'15 and MOT'16 challenges
[2017/06] Our work won the "Best Demo of the Year" award by Microsoft Research Asia Symposium

Mailing Address: Room 1-301, SEIEE Buildings, 800 Dongchuan Road, Shanghai, China 200240