Xian-Sheng Hua

Xian-Sheng Hua received the B.S. and Ph.D. degrees from Peking University, Beijing, China, in 1996 and 2001, respectively, both in applied mathematics. Since 2001, he has been with Microsoft Research Asia, Beijing, where he is currently a Lead Researcher with the internet media group. His current interests are in the areas of video content analysis, multimedia search, management, authoring, sharing and advertising. He has authored more than 140 publications in these areas and has 40 filed patents or pending applications. Dr. HUA is a member of the Association for Computing Machinery and IEEE. He is now an adjunct professor of University of Science and Technology of China, and serves as an Associate Editor of IEEE Transactions on Multimedia and Editorial Board Member of Advances in Multimedia as well as Multimedia Tools and Applications. Dr. Hua won the Best Paper Award and Best Demonstration Award in ACM Multimedia 2007, Best Poster Award in 2008 IEEE International Workshop on Multimedia Signal Processing. He also won 2008 MIT Technology Review TR35 Young Innovator Award, and named as one of the ¡°Business Elites of People under 40 to Watch¡± by Global Entrepreneur.

Publications

Online Multimedia Advertising: Techniques and Technologies
Xian-Sheng Hua, Tao Mei, Alan Hanjalic. © 2011. 352 pages.
The explosive growth of multimedia data on the web creates significant opportunities for multimedia advertising. Multimedia content becomes a natural information carrier for...
In-Image Advertising
Lusong Li, Xian-Sheng Hua. © 2011. 18 pages.
The daunting volumes of images on the Web have become one of the primary sources for online advertising. This work presents a contextual in-image advertising strategy driven by...
Image/Video Semantic Analysis by Semi-Supervised Learning
Jinhui Tang, Xian-Sheng Hua, Meng Wang. © 2009. 28 pages.
The insufficiency of labeled training samples is a major obstacle in automatic semantic analysis of large scale image/video database. Semi-supervised learning, which attempts to...