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Prof. CHEN, Li
Prof. CHEN, Li
陳黎教授
BSc, MSc, PhD
Associate Head (Research) and Professor, Department of Computer Science
Professor (Affiliate), Academy of Wellness and Human Development
Personal Webpage HKBU Scholars

About

Professor Li Chen is currently a Professor and Associate Head (Research) in the Department of Computer Science at Hong Kong Baptist University (HKBU). She obtained her PhD degree in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, and her Bachelor's and Master's degrees from Peking University, China. Her recent research focus has mainly been on conversational and explainable AI, with applications covering various domains including entertainment, digital media, education, e-commerce, and psychological well-being. She has authored and co-authored over 150 publications, with 10,814 citations so far (H-index 49). Her co-authored papers have received several awards, such as 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 Research Supervision 2022/23, and has been included in the list of the world’s top 2% most-cited scientists by Stanford University since 2021. She is now an ACM senior member, co-editor-in-chief of ACM Transactions on Recommender Systems (TORS), executive 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 also served as 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.


Research Interests

  • Conversational AI
  • Explainable AI
  • Recommender Systems
  • Human-Computer Interaction

Selected Publications

  1. Yucheng Jin, Li Chen, Xianglin Zhao, and Wanling Cai. The Way You Assess Matters: User Interaction Design of Survey Chatbots for Mental Health. In International Journal of Human - Computer Studies (IJHCS), vol. 189, 2024.
  2. Yucheng Jin, Li Chen, Wanling Cai, and Xianglin Zhao. CRS-Que: A User-Centric Evaluation Framework for Conversational Recommender Systems. ACM Transactions on Recommender Systems (TORS), vol. 2(1), 2024.
  3. Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, and Li Chen. Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data. In Proceedings of the 18th ACM Conference on Recommender Systems (RecSys’24), pages 247-256, Bari, Italy, October 14-28, 2024. [Best Student Paper Award]
  4. Yucheng Jin, Wanling Cai, Li Chen, Yizhe Zhang, Gavin Doherty, and Tonglin Jiang. Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. In Proceedings of the 42nd ACM Conference on Human Factors in Computing Systems (CHI’24), Article 1012, pages 1-17, Honolulu, Hawaii, USA, May 11-16, 2024.
  5. Yucheng Jin, Wanling Cai, Li Chen, Yuwan Dai, and Tonglin Jiang. Understanding Disclosure and Support in Social Music Communities for Youth Mental Health. In Proceedings of the ACM on Human-Computer Interaction (CSCW’23), vol. 7, Article 153, 2023.
  6. Lei Li, Yongfeng Zhang, and Li Chen. Personalized Prompt Learning for Explainable Recommendation. ACM Transactions on Information Systems (TOIS), vol. 41(4), 2023. 
  7. Ningxia Wang and Li Chen. How Do Item Features and User Characteristics Affect Users’ Perceptions of Recommendation Serendipity? A Cross-Domain Analysis. User Modeling and User-Adapted Interaction (UMUAI), December 2022.
  8. Dongning Yan and Li Chen. The Influence of Personality Traits on User Interaction with Recommendation Interfaces. ACM Transactions on Interactive Intelligent Systems (TiiS), July 2022.
  9. Li Chen, Wanling Cai, Dongning Yan, and Shlomo Berkovsky. Eye-tracking-based Personality Prediction with Recommendation Interfaces. User Modeling and User-Adapted Interaction (UMUAI), June 2022.
  10. Wanling Cai, Yucheng Jin, and Li Chen. Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems. In Proceedings of the 40th ACM Conference on Human Factors in Computing Systems (CHI’22), Article 489, pages 1-14, April 30-May 5, 2022. [Honourable Mention Award]