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Prof. Li CHEN (陳黎) Associate Head (Research) and Professor, Department of Computer Science Professor (Affiliate), Academy of Wellness and Human Development Hong Kong Baptist University, China

Education:

• PhD in Computer Science (Nominee for Best PhD Thesis Award), Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland
• Master in Computer Software and Theory, Peking University (北京大學), China
• Bachelor in Computer Science, Peking University (北京大學), China

Google scholar profile: h-index 53, i10-index 125, citations 13,124 (till April 2026)

Short bio:

Professor Chen’s research primarily focuses on developing beyond-accuracy objectives for recommender systems, such as serendipity, diversity, fairness, explainability, controllability, user trust, and decision rationality, by integrating insights from multiple disciplines including machine learning, psychology, decision behavior, and human-computer interaction. Professor Chen’s work has been applied across a wide range of domains, from low-risk ones like entertainment to high-stakes fields such as mental health and e-commerce. She has authored and co-authored over 160 publications, most of which appear in high-impact journals (such as IJHCS, CSCW, TOCHI, TOIS, UMUAI, TIST, TIIS, KNOSYS, Behavior & Information Technology, AI Magazine, and IEEE Intelligent Systems), and key conferences in the areas of data mining (SIGKDD, WSDM, SDM), artificial intelligence (IJCAI, AAAI), information retrieval (SIGIR), recommender systems (RecSys), user modeling (UMAP), and intelligent user interfaces (SIGCHI, IUI, Interact).

Her co-authored papers have received several awards, including the RecSys’24 Best Student Paper Award, CHI’22 Honourable Mention Award, UMAP’20 Best Student Paper Award, UMUAI 2018 Best Paper Award, and UMAP’15 Best Student Paper Award. She received the President’s Award for Outstanding Performance in Teaching (Individual) 2024/25 and the President’s Award for Outstanding Performance in Research Supervision 2022/23. She has been included in the list of the world’s top 2% most-cited scientists by Stanford University since 2021, and the list of the Best Computer Science Scientists 2025/2026 by Research.com. She is now an ACM senior member, founding editor-in-chief of ACM Transactions on Recommender Systems (TORS), steering committee member of ACM Conference on Recommender Systems (RecSys), editorial board member of User Modeling and User-Adapted Interaction Journal (UMUAI), and associate editor of ACM Transactions on Interactive Intelligent Systems (TiiS). She has also served as the program co-chair of IUI’26, the general co-chair of ACM RecSys’23, the program co-chair of ACM RecSys’20, and the program co-chair of ACM UMAP’18.