Dr. Lei Li is a Post-doctoral Research Fellow advised by Dr. Li Chen at the Department of Computer Science, Hong Kong Baptist University. His research interests lie in recommender systems and natural language processing. Recently, he has been investigating pre-trained language models for recommender systems (such as explanation generation and sequential recommendation), and his research has been supported by Hong Kong Research Grants Council (RGC) since 2022. He is currently visiting Rutgers University, and doing research with Dr. Yongfeng Zhang. Previously, he obtained his Ph.D. degree from Hong Kong Baptist University, where he was involved in explainable recommendation research. His major research outcomes are integrated into a small ecosystem for recommender systems-based natural language generation, which includes benchmark datasets, evaluation metrics and representative models, and is open-sourced at https://github.com/lileipisces/NLG4RS.

Title: Generating Recommendation Explanations with Transformer and Pre-trained Model