Industry Forum

Chair: Eric Chang (Microsoft Research Asia)
Panelists: Jian LU
Yi MA
Kai YU

Jian Lu received his B.E. from Zhejiang University, China, in 1984, and Ph.D. from Dartmouth College, USA, in 1993. From 1994 through 1996, he held research positions at University of California, Davis, and Lawrence Livermore National Lab. He joined Apple in 1996 as a Senior Scientist and later became a Principal Scientist. He led video and image codec development for Apple's QuickTime technology and professional video products, and served as principal representative for Apple in the development of JPEG-2000 and MPEG-4 image and video coding standards. In 2005, he co-founded Vobile, Inc. and led the company as CTO through 2010. He is the inventor and architect of Vobile's VideoDNA™ content identification technology that is adopted by all major Hollywood studios and TV networks as well as content service websites. Currently, he is CTO of Ku6 Media and Managing Director for Shanda Innovations, based in Beijing, China. Dr. Lu has over 40 technical publications and 9 issued U.S. patents with several more pending. He was an invited/keynote speaker on content identification and security at several professional conferences and workshops, and a Distinguished Speaker of IEEE Computer Society. He served for the SPS technical communities in various roles since 2007, most recently as a co-chair for the ICME Workshop on Visual Content Identification and Search in 2010 and 2011. He was also a guest editor for a special issue on Visual Content Identification and Search in IEEE Multimedia.

Yi Ma is a Principal Researcher and the Research Manager of the Visual Computing group at Microsoft Research Asia in Beijing since January 2009. Before that he was a professor at the Electrical & Computer Engineering Department of the University of Illinois at Urbana-Champaign. His main research interest is in computer vision, high-dimensional data analysis, and systems theory. He is the first author of the popular vision textbook “An Invitation to 3-D Vision," published by Springer in 2003. Yi Ma received his Bachelors’ degree in Automation and Applied Mathematics from Tsinghua University (Beijing, China) in 1995, a Master of Science degree in EECS in 1997, a Master of Arts degree in Mathematics in 2000, and a PhD degree in EECS in 2000, all from the University of California at Berkeley. Yi Ma received the David Marr Best Paper Prize at the International Conference on Computer Vision 1999, the Longuet-Higgins Best Paper Prize at the European Conference on Computer Vision 2004, and the Sang Uk Lee Best Student Paper Award with his students at the Asian Conference on Computer Vision in 2009. He also received the CAREER Award from the National Science Foundation in 2004 and the Young Investigator Award from the Office of Naval Research in 2005. He was an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) from 2007 to 2011. He is currently an associate editor of the International Journal of Computer Vision (IJCV), the IMA journal on Information and Inference, SIAM journal on Imaging Sciences, and IEEE transactions on Information Theory. He has served as the chief guest editor for special issues for the Proceedings of IEEE and the IEEE Signal Processing Magazine. He will also serve as Program Chair for ICCV 2013 and General Chair for ICCV 2015. He is a Fellow of IEEE.

Kai Yu came back to China in April, 2012. Now he is a deputy engineering director of Baidu, managing the company's multimedia department. His team innovates search technologies and products by making better use of speech, images, videos, and music. He has led the company-wide efforts for developing deep learning technology for speech/image recognition, search ads, etc.. Before April 2012, he led the media analytics department of NEC Labs in northern California, where his team won the first place for many times in global technology competitions. Before joining NEC, he was a senior research scientist at Siemens. He obtained Bachelor degree in Nanjing University and PhD in Computer Science at University of Munich. He has published more than 100 papers in the research area of Machine Learning, Data Mining and Computer Vision and owned more than 30 patents. In 2011, he taught a class, CS121 Introduction to Artificial Intelligence, at Stanford University. He also served as Area Chair of NIPS and ICML for a couple of times.