Personal profile

Chinese Name

陈黎

Biography

Professor Chen Li 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 120 publications, with 8,900 citations so far (H-index 46). Her co-authored papers have received several awards, such as the 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

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production

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Dive into the research topics where Li CHEN is active. Topic labels come from the works of this scholar.
  • 1 Similar Scholars

Collaborations and top research areas from the last five years

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  • Adaptive Hardness Negative Sampling for Collaborative Filtering

    Lai, R., Chen, R., Han, Q., Zhang, C. & Chen, L., 24 Mar 2024, Proceedings of the 38th AAAI Conference on Artificial Intelligence. p. 8645-8652 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 8).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
  • CRS-Que: A User-centric Evaluation Framework for Conversational Recommender Systems

    Jin, Y., Chen, L., Cai, W. & Zhao, X., 7 Mar 2024, In: ACM Transactions on Recommender Systems. 2, 1, p. 1-34 34 p., 2.

    Research output: Contribution to journalJournal articlepeer-review

    Open Access
  • EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models

    Li, I., Dong, R., Li, L. & Chen, L., 8 Oct 2024, Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024. Noia, T. D., Lops, P., Joachims, T., Verbert, K., Castells, P., Dong, Z. & London, B. (eds.). Association for Computing Machinery (ACM), p. 1262-1264 3 p. (Proceedings of the ACM Conference on Recommender Systems, RecSys).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults

    Jin, Y., Cai, W., Chen , L., Zhang, Y., Doherty, G. & Jiang, T., 11 May 2024, CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Dugas, P. T. & Shklovski, I. (eds.). 1st ed. Association for Computing Machinery (ACM), p. 1-17 17 p. 1012. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    3 Citations (Scopus)
  • Large Language Models for Generative Recommendation: A Survey and Visionary Discussions

    Li, L., Zhang, Y., Liu, D. & Chen, L., May 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 10146-10159 14 p. (Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING - Main Conference Proceedings).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    4 Citations (Scopus)