Received the OKAWA Foundation research grant in 2019, and several teaching awards such as Shanghai Tang-Junyuan educational foundation teacher award (2023), Fudan BYD teacher award (2024), and nomination for Fudan University's undergraduate students' favorite teacher (2022). Serves as an associate editor for IEEE Transactions on Network Science and Engineering. Published numerous papers in top conferences and journals including USENIX NSDI, USENIX ATC, ACM Mobisys, ACM CoNEXT, ACM Mobihoc, IEEE Infocom, IEEE/ACM ToN, and IEEE JSAC. His work on Federated LLM Finetuning was accepted to NeurIPS 2025.
Research Experience
Currently a Professor at the College of Computer Science and Artificial Intelligence, Fudan University, and serves as an adjunct professor at Shenzhen Loop Area Institute.
Education
BS degree from Anhui University; MS degree from Huazhong University of Science and Technology; PhD degree from The Chinese University of Hong Kong. Worked as a MENRT Postdoctoral fellow in INRIA Sophia Antipolis (near Nice and Cannes) and Université d’Avignon, France (a small but beautiful city famous for its Lavender and Festival d’Avignon).
Background
Research Interests: LLM training and inference systems, multi-modal LLM alignment. Brief Introduction: Professor at the College of Computer Science and Artificial Intelligence, Fudan University, and Advisor of MediaNet Group.
Miscellany
Welcomes undergraduate, master, doctoral students, and jointly trained doctoral students from the National AI Academy to join the research group!