| Title: | Organizing World's Information, Socially |
| Date: |
December 13, 2007 (Thursday)
|
| Time: |
9:30 a.m. - 10:30 a.m.
|
| Venue: |
Room 121, 1/F, Ho Sin-hang Engineering Building,
The Chinese University of Hong Kong, Shatin, N.T. |
| Speaker: |
Prof. Edward Chang
R&D Director Google/China |
Google/China has recently launched two social-network products: OpenSocial and Knowledge Search (laiba.tianya.cn and wenda.tianya.cn). This talk will provide an overview on 1) the Web-scale data mining technologies that power the products, 2) Google's OpenSocial vision, and 3) convergence of Search and Social Networks.
BIOGRAPHY:
Professor Edward Chang received his M.S. in Computer Science and PhD in Electrical Engineering at Stanford University in 1994 and 1999, respectively. He joined the department of Electrical & Computer Engineering at University of California, Santa Barbara, in September 1999. He received his tenure in March 2003, and was promoted to full professor of Electrical Engineering in 2006. His recent research activities are in the areas of machine learning, data mining, high-dimensional data indexing, and their applications to image databases, video surveillance, and Web mining. Recent research contributions of his group include methods for learning image/video query concepts via active learning with kernel methods, formulating distance functions via dynamic associations and kernel alignment, managing and fusing distributed video-sensor data, categorizing and indexing high-dimensional image/video information, and speeding up Support Vector Machines via parallel matrix factorization and indexing. Professor Chang has served on several ACM, IEEE, and SIAM conference program committees. He co-founded the annual ACM Video Sensor Network Workshop and has co-chaired it since 2003. In 2006, he co-chairs three international conferences: Multimedia Modeling (Beijing), SPIE/IS&T Multimedia Information Retrieval (San Jose), and ACM Multimedia (Santa Barbara). He serves as an Associate Editor for IEEE Transactions on Knowledge and Data Engineering and ACM Multimedia Systems Journal. Professor Chang is a recipient of the IBM Faculty Partnership Award and the NSF Career Award. He is currently on leave from UC, heading R&D effort at Google/China.
Enquiries: Miss Temmy So at tel 2609 8444
For more information, please refer to http://www.cse.cuhk.edu.hk/seminar