Prof. Linqi Song is an Associate Professor with the Department of Computer Science, City University of Hong Kong and a Research Scientist with the InnoHK AIFT Lab. He received the Ph.D. degree in electrical engineering from the University of California, Los Angeles (UCLA), USA and the B.S. and M.S. degrees from Tsinghua University, China. He was a Postdoctoral Scholar with the Department of Electrical and Computer Engineering, UCLA. He was the chair of IEEE Hong Kong Society Information Theory Chapter.
His research interests include large language models, information theory, reinforcement learning, federated learning, smart transportation, and FinTech. He has published more than 180 journal and conference papers at main AI and IT venues, such as IEEE TIT, TPAMI, JSAC, TMC, JSTSP, NeurIPS, ICLR, and ACL. He has been the Associate Editor/Guest Editor for several journals, such as DSP, ICN, and he has been serving as TPC members for IEEE ISIT, ITW, Mobihoc, Infocom, etc. He has received the Best Paper Awards of IEEE MIPR 2020, the Best Paper Award of China Communications 2023, and three Silver Medals of Geneva International Exhibition of Inventions.
Awards and Achievements
- 2012 “Fellowship” UCLA.
- 2006 “Excellent Graduate Award” Tsinghua University.
- 2005 “Scholarship” Tsinghua University.
- 2020 “Best Paper Awards” IEEE MIPR 2020.
- 2023 “Best Paper Award” China Communications 2023.
- 2024 “Silver Medals ” Geneva International Exhibition of Inventions.
Last update date :
31 Jul 2025
