Jun Zhang, Associate Professor, The Hong Kong University of Science and Technology

Yafeng Liu, Associate Professor

AI for Communications: From Specialist Models to Foundation Models

10:00-11:00 March 31(Monday), S415

Foundation models, such as large language models (LLMs), diffusion models, and vision-language models (VLMs), have emerged as powerful tools for various applications. In this talk, we will explore the exciting potential of foundation models in revolutionizing wireless communications and networking. We will focus on three key aspects of “AI for communications” (AI4COM), namely "learning to compress", "learning to estimate", and "learning to optimize". Particularly, we will discuss the recent shift from specialist models to foundation models.

Bio: 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. 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. He also received the 2016 IEEE ComSoc Asia-Pacific Best Young Researcher Award. He is an Area Editor of IEEE Transactions on Wireless Communications and IEEE Transactions on Machine Learning in Communications and Networking.