講座主題： Bayesian Methods for Sparse Signal Reconstruction
特邀專家： 袁曉軍 教授
講座時(shí)間： 2019年6月17日 下午4：10
講座地點(diǎn)： 電子科技大學(xué)清水河校區(qū)·圖書館百學(xué)堂
專家介紹：
Xiaojun Yuan received the Ph.D. degree in Electrical Engineering from the City University of Hong Kong in 2008. From 2009 to 2011, he was a research fellow at the Department of Electronic Engineering, the City University of Hong Kong. He was also a visiting scholar at the Department of Electrical Engineering, the University of Hawaii at Manoa in spring and summer 2009, as well as in the same period of 2010. From 2011 to 2014, he was a research assistant professor with the Institute of Network Coding, The Chinese University of Hong Kong. From 2014 to 2017, he was an assistant professor with the School of Information Science and Technology, ShanghaiTech University. He is now a professor with the Center for Intelligent Networking and Communications, the University of Electronic Science and Technology of China, supported by the Thousand Youth Talents Plan in China.
His research interests cover a broad range of signal processing, machine learning, and wireless communications, including but not limited to multi-antenna and cooperative communications, sparse and structured signal recovery, Bayesian approximate inference, network coding, etc. He has published over 130 peer-reviewed research papers in the leading international journals and conferences in the related areas. He has served on a number of technical programs for international conferences. He is an editor of the IEEE Transactions on Communications since 2017, and also an editor of the IEEE Transactions on Wireless Communications since 2018. He was a co-recipient of the Best Paper Award of IEEE International Conference on Communications (ICC) 2014, and also a co-recipient of the Best Journal Paper Award of IEEE Technical Committee on Green Communications and Computing (TCGCC) 2017.
