Tencent Meeting ID: 688 462 967
大会邀请到西安电子科技大学白宝明教授、西安交通大学刘贵忠教授做主题演讲，演讲题目分别为：Coding and Modulation for Machine-Type Communications，和Few-Shot Image Classiﬁcation via Contrastive Self-Supervised Learning。
Baoming Bai (S’98–M’00–SM’18) received the B.S. degree from the Northwest Telecommunications Engineering Institute, China, in 1987, and the M.S. and Ph.D. degrees in communication engineering from Xidian University, China, in 1990 and 2000, respectively. From 2000 to 2003, he was a Senior Research Assistant at the Department of Electronic Engineering, City University of Hong Kong. Since April 2003, he has been with the State Key Laboratory of Integrated Services Networks (ISN), School of Telecommunication Engineering, Xidian University, China, where he is currently a Professor. In 2005, he was with the University of California, Davis, CA, USA, as a Visiting Scholar. In 2018, he spent one month as a Senior Visiting Fellow at McMaster University, Ontario, Canada. Dr. Bai co-authored the book Channel Coding for 5G (in Chinese, 2020). His research interests include information theory and channel coding, wireless communication, and quantum communication.
Guizhong Liu received B.S. and M.S. degrees in computational mathematics from Xi’an Jiaotong University, Xi’an, China, in 1982 and 1985 respectively, and a Ph.D degree in mathematics and computing science from Eindhoven University of Technology, Eindhoven, The Netherlands, in 1989. He is currently a Full Professor in the School of Information and Communications Engineering, Xi’an Jiaotong University. His current research interests are concentrated on machine learning and artificial intelligence methods and their applications to sensing, decision and control.