- 'Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search' accepted by EMNLP 2025
- 'Paragon: Parameter Generation for Controllable Multi-Task Recommendation' accepted by RecSys 2025
- 'Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration' accepted by RecSys 2025
- 'MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment' accepted by ACL 2025
- 'A Survey of Controllable Learning: Methods and Applications in Information Retrieval and Recommender Systems' accepted by FCS and selected for the Excellent Young Computer Scientists Forum
- 'On the Decision-Making Abilities in Role-Playing using Large Language Models' accepted by AAAI 2025 CMASDL Workshop
- 'HyperBandit: Contextual Bandit with Hypernetwork for Time-Varying User Preferences in Streaming Recommendation' accepted by CIKM 2023
Awards:
- 2025.07 FCS Excellent Young Computer Scientists Forum (top 2)
- 2023.06 Outstanding Graduate in Huazhong University of Science and Technology
- 2021.10 Merit Student Scholarship in Huazhong University of Science and Technology
Research Experience
Conducting research work at Intelligent Information Retrieval Lab (IIR Lab).
Education
2023.09 - Present, Ph.D. Candidate, Gaoling School of Artificial Intelligence, Renmin University of China, supervised by Assoc. Prof. Xiao Zhang and Prof. Jun Xu; 2019.09 - 2023.06, Bachelor, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan.
Background
Research interests include Large Language Model and Recommender System. Currently, a Ph.D. candidate at Gaoling School of Artificial Intelligence, Renmin University of China, focusing on Large Language Model and Recommender System.