| 2026 | ACL | When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs. | Zhongxiang Sun, Yi Zhan, Chenglei Shen, Weijie Yu, Xiao Zhang, Ming He, Jun Xu |
| 2026 | SIGIR | GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items. | Chenglei Shen, Teng Shi, Weijie Yu, Xiao Zhang, Jun Xu |
| 2025 | ACL | MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment. | Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu |
| 2025 | EMNLP | Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search. | Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu |
| 2025 | RecSys | MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation. | Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | RecSys | Paragon: Parameter Generation for Controllable Multi-Task Recommendation. | Chenglei Shen, Jiahao Zhao, Xiao Zhang, Weijie Yu, Ming He, Jianping Fan |
| 2023 | CIKM | HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. | Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu |