上海大学高性能计算中心/计算机工程与科学学院
下一代互联网交互计算联合实验室
Joint Lab of Next Generation Internet Interactive Computing
 
 
 
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主题报告:Human-Aided Machine Intelligence —A Typical Web2.0 Application

报 告 人:Liu Wenyin [City University of Hong Kong]

报告时间:9月 16日(周五)09: 30~11: 30

报告地点:上海大学延长校区行健楼734室
邀 请 人:骆祥峰 副研究员

 

摘要:There has been an argument in recent years about whether future computing should be human-centric or machine-centric. As machine intelligence is still at a level far from human being’s, more human efforts are required to be involved in the computation process. Some people call it human computation, which is more human-centric. However, I like to use the term Human-Aided Machine Intelligence (HAMI), which seems like more machine-centric but its ultimate goal is still for human’s interest. It just needs to get help from human users when machines cannot do well. It is especially workable and enabled in the Internet era, when many netizens can be involved and contribute their help. Hence, it can also be considered a very good and typical application of Web 2.0. In this talk, I will present the idea of Human-Aided Machine Intelligence and typical applications. I believe it will be one of the trends for future computing paradigms.

Brief Biography: Liu Wenyin received his B.Engg. and M.Engg. degrees in Computer Science from the Tsinghua University, Beijing in 1988 and 1992 respectively, and his D.Sc. in Information Management Engineering from the Technion, Israel Institute of Technology in 1998. He had worked at Tsinghua as a faculty member for three years and at Microsoft Research China/Asia as a full time Researcher for another three years. Liu Wenyin played a major role in developing the Machine Drawing Understanding System (MDUS), which won First Place in the Dashed Line Recognition Contest held during the First IAPR Workshop on Graphics Recognition at Pennsylvania State University, 1995. In 1997, he won a Third Prize in the ACM/IBM First International Java Programming Contest (ACM Quest for Java'97). In 2003, he was awarded the ICDAR Outstanding Young Researcher Award by the International Association for Pattern Recognition (IAPR) for his significant impact in the research domain of graphics recognition, engineering drawings recognition, and performance evaluation. He is Chair of IAPR TC10 (on Graphics Recognition) from 2006. He is a guest professor of University of Science and Technology of China, Hefei , China.He is a Fellow of IAPR and a senior member of IEEE.

 

 

     
 
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