报告题目：Towards ML4COM 2.0: Neural Architecture Design for Learning to Communicate

报告人：张军教授，香港科技大学

时间：8月30日（周三），上午9:30-10:30

地点：交叉二号楼B6007会议室

报告摘要：

The recent revolution in AI and deep learning has inspired lots of interests in the wireless communication community. Substantial efforts have been devoted to developing various “Learning to Communicate” approaches. Nevertheless, an evident gap exists between theoretical investigations and practical deployment, and there are lots of doubts on the effectiveness of machine learning-based solutions. This motivates further research on machine learning for communication (ML4COM), to pin down specific scenarios where such approach will play an imperative role, and to develop solutions, especially neural architecture, tailored to wireless communications. This talk will present recent development in neural architecture design for three key problems in wireless communications: 1) learning to optimize for resource management via graph neural networks; 2) learning for channel estimation with fixed-point networks; 3) learning for video compression with a distributed coding architecture.

报告人简介：

Jun Zhang received his Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. He is an IEEE Fellow and an IEEE ComSoc Distinguished Lecturer. He is an Associate Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. His research interests include wireless communications and networking, mobile edge computing and edge AI, and cooperative AI. Dr. Zhang co-authored the book Fundamentals of LTE (Prentice-Hall, 2010). He is a co-recipient of several best paper awards, including the 2021 Best Survey Paper Award of IEEE Communications Society, the 2019 IEEE Communications Society & Information Theory Society Joint Paper Award, and the 2016 Marconi Prize Paper Award in Wireless Communications. Two papers he co-authored received the Young Author Best Paper Award of the IEEE Signal Processing Society in 2016 and 2018, respectively. He also received the 2016 IEEE ComSoc Asia-Pacific Best Young Researcher Award. He is an Editor of IEEE Transactions on Communications, and was an editor of IEEE Transactions on Wireless Communications (2015-2020). He served as a MAC track co-chair for IEEE Wireless Communications and Networking Conference (WCNC) 2011 and a wireless communications symposium co-chair of IEEE International Conference on Communications (ICC) 2021.