Prof. LI, Yupeng

Assistant Professor

 

Ph.D. in Computer Science (HKU)
(852) 3411-8263
ypengl@hkbu.edu.hk
CVA Room 936B

Prof. Li, Yupeng is a faculty member in the Department of Interactive Media at Hong Kong Baptist University (HKBU). He holds a PhD in Computer Science from The University of Hong Kong and completed his postdoctoral research at the University of Toronto. As the Director of the AI and Social Good Lab at the AI Media Centre, Dr. Li leads innovative research in Societal AI, Trustworthy LLMs, and Human-AI Collaboration Paradigms. His passion for interdisciplinary research fuels his application of advanced AI and algorithmic techniques to tackle cutting-edge challenges. His work has been accepted for publication or oral presentation in prestigious venues, including The ACM Web Conference, INFOCOM, ICDCS, ICDM, ICA, Cell Patterns, JSAC, ToN, TMC.

Dr. Li serves as the Information Director for the ACM Transactions on Social Computing and has held prominent roles, including TPC Co-Chair for an ICDCS Research Track in 2024 and SocialMeta 2023. He actively contributes to technical committees of leading conferences in social computing and AI.

Dr. Li’s contributions have earned him competitive research funding from national, provincial, municipal, and industry sources, including RGC, NSFC, GDSTC, and CCF Research Fund. He has been recognized as a Distinguished TPC Member of IEEE INFOCOM in 2022 and 2024, named a CAAI Rising Star Speaker in Social Computing, and awarded the prestigious President’s Award for Outstanding Performance as an Early Career Researcher at HKBU in 2025.

Research interests 

Societal AI

Trustworthy LLMs

Human-AI Collaboration Paradigms

Awards/Grants/Honors

HKBU President’s Award for Outstanding Performance, 2025

Microsoft Research Asia (MSRA) StarTrack Scholar, 2025

Dean’s Excellence Award, 2025

Shanghai Open-Source Innovation Outstanding Achievement Award, 2024

Best Student Paper Award of CSoNet, 2024

Best Paper Runner-up Award of IWQoS, 2024

Best Student Paper Award of MSN, 2023

Distinguished TPC Member of IEEE INFOCOM 2022 and 2024