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Personal profile

Chinese Name

陈黎

Biography

Dr. Li Chen is currently an Associate Professor 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 Bachelor and Master degrees from Peking University, China. Her recent research focus has mainly been on human-centered AI with the main emphasis on recommender systems and complex decision support systems. The applications cover multiple domains including social media, e-commerce, online education, and public health. She has authored and co-authored over 100 publications, with over 7,300 citations so far (H-index 43). Her co-authored papers have received several awards, such as the CHI’22 Honorable Mention Award, UMAP’20 Best Student Paper Award, UMUAI 2018 Best Paper Award, and UMAP’15 Best Student Paper Award. She is included in the list of the world’s top 2% most-cited scientists by Stanford University. She is now an ACM senior member, co-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), editorial board member of Journal of Intelligent Information Systems (JIIS), and associate editor of ACM Transactions on Interactive Intelligent Systems (TiiS). She also served as program co-chair of ACM RecSys'20 and ACM UMAP'18.

Research Interests

Human-centered AI, data-driven personalization, recommender systems, intelligent decision support systems, user modeling

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 3 - Good Health and Well-being
  • SDG 13 - Climate Action

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