作者：DMIR 来自： 发表时间：2016-05-18 浏览量：1225
Dr. Jun Yan received the Ph.D. degree in digital signal processing and pattern recognition from the department of information science, school of mathematical science, Peking University, P.R. China. During his Ph.D., he has been a research intern of MSRA from 2003 to 2005 and awarded as Microsoft fellow in 2004. Before join Microsoft, he has been a research associate at CBI, HMS, Harvard, Cambridge, MA, in 2005. He joined Microsoft Research Asia (MSRA) from 2006. Currently he is research manager of the Data Mining and Enterprise Intelligence group in MSRA. His research interests are on large scale knowledge extraction and mining, machine learning, information retrieval and artificial intelligence for enterprise etc. So far, he has successfully incubated tens of technologies, which have been used in Microsoft products. In academia, he has more than 60 quality papers published in referred conferences and journals, including SIGKDD, SIGIR, WWW, ICDM, AAAI, CIKM, TKDE, etc. He has been the PC members of international conferences SIGKDD, SIGIR etc. and is also reviewers of journals articles TKDE, TPAMI etc. He is currently deputy director of Peking University - Microsoft joint lab.
Artificial Intelligence (AI) is attracting increasing attention from both academic and industry. Knowledge is playing key role in most AI applications since without knowledge, it is hard to make machines have intelligence no matter how strong the models are. In this talk, Jun Yan will introduce the knowledge mining research conducted in Data Mining and Enterprise Intelligence group of Microsoft Research Asia. The solution is to simulating human knowledge learning process from a baby to an expert. And then some applications of the knowledge mining will be introduced with open questions and challenges call for collaborations. One application showcase is digital me, which aims to easily build an agent for each person. As a domain special case, they have applied the solution in medical domain to help doctors communicate with their patients in a more productive way.