- 所在单位：“人工智能与教育新形态”教育部哲学社会科学实验室
- 职称：教授
- .刘建芳;易宝林*;张桓瑜;沈筱譞;宋玲玲;雷宇.Modeling semantic representation with LLM-enhanced for knowledge-aware recommendation. https://doi.org /10.1016/j.ipm.2025.104387.Information Processing and Management.63 (2026),104387
- .刘建芳;王威;易宝林*;张桓瑜;沈筱譞.Semantic relation-aware graph attention network with noise augmented layer-wise contrastive learning for recommendation.DOI:10.1016/j.knosys.2025.113217.Knowledge-Based Systems. 314(9):1-13
- .张桓瑜;沈筱譞;易宝林*;刘建芳;谢银奥.A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling.In：WWW '25: Proceedings of the ACM on Web Conference 2025,Sydney NSW, Australia, 20250428-20250502
- .雷宇,刘建芳,付欣,赵晶洁,易宝林*.The Effects of a Generative AI‐Enabled CDIO Teaching Model on Undergraduates' Computational Thinking and Individual Psychological Constructs.https://doi.org/10.1002/cae.70075. Computer Applications in Engineering Education.33(5):1-15.
- .曹泽林,易宝林*,沈筱譞,张桓瑜,李鹏成,刘建芳.CourseLRec: Leveraging Large Language Models for Personalized Course Recommendations.INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN2025)，Rome，Italy，20250630-20250705. DOI:10.1109/IJCNN64981.2025.11228365
