Dr. Li CHEN

Dr. Li Chen is currently an Associate Professor in the Academy of Wellness and Human Development 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 recommender system design and development, which integrates approaches of multiple disciplines including artificial intelligence, human-computer interaction, user modeling, and user behavior analytics. The application domains cover social media, e-commerce, and online education. She has authored and co-authored over 100 publications, most of which have appeared in refereed high-impact journals (e.g., IJHCS, TOCHI, UMUAI, TIST, TIIS, KNOSYS, Behavior & Information Technology, AI magazine, AI Communications, and IEEE Intelligent Systems) and conferences (e.g., WWW, IUI, CHI, CIKM, SIGKDD, SDM, IJCAI, AAAI, ACM RecSys, ACM UMAP, Interact), with over 5,000 citations so far. Her co-authored paper received UMUAI 2018 James Chen Best Paper Award. She is now an ACM senior member, 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 has also served as program co-chair of ACM RecSys'20 and ACM UMAP'18.

Project Highlights

1. Generate Neural Template Explanations for Recommendation

2. Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations