Chenglei Shen

Chenglei Shen

Ph.D. Candidate at Gaoling School of Artificial Intelligence, Renmin University of China, focusing on Large Languange Model, Recommender Systems.

I am a second-year Ph.D. candidate at Intelligent Information Retrieval Lab (IIR Lab) from the Gaoling School of Artificial Intelligence (GSAI), Renmin University of China (RUC), supervised by Assoc. Prof.Xiao Zhang and Prof. Jun Xu. I obtained my bachelor’s degree from Huazhong University of Science and Technology(HUST) in June 2023. My research interests include Large Language Model, Recommender System.

🔥 News

  • 2025.07:  🎉🎉 My first-author paper ‘‘A Survey of Controllable Learning: Methods and Applications in Information Retrieval and Recommender Systems’’ is selected for the Excellent Young Computer Scientists Forum in FCS
  • 2025.06:  🎉🎉 My first-author paper ‘‘Paragon: Parameter Generation for Controllable Multi-Task Recommendation’ is accepted by (RecSys 2025)!
  • 2025.06:  🎉🎉 Our paper ‘‘Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration’’ is accepted by (RecSys 2025)!
  • 2025.06:  🎉🎉 My first-author paper ‘‘A Survey of Controllable Learning: Methods and Applications in Information Retrieval and Recommender Systems’’ is accepted by (FCS)!
  • 2025.03:  🎉🎉 Our paper ‘‘MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment’’ is accepted by (ACL 2025)!
  • 2024.05:  🎉🎉 My first-author paper ‘‘On the Decision-Making Abilities in Role-Playing using Large Language Models’’ is accepted by (AAAI 2025 CMASDL Workshop)!
  • 2023.08:  🎉🎉 My first-author paper ‘‘HyperBandit: Contextual Bandit with Hypernetwork for Time-Varying User Preferences in Streaming Recommendation’’ is accepted by (CIKM 2023)!

📚 Publications

paragon Paragon: Parameter Generation for Controllable Multi-Task Recommendation
Chenglei Shen, Jiahao Zhao, Xiao Zhang, Weijie Yu, Ming He, Jianping Fan
Recsys 2025 | Paper
more Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration
Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
Recsys 2025 | Paper
maps 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
ACL 2025 | Paper
survey A Survey of Controllable Learning: Methods and Applications in Information Retrieval and Recommender Systems
Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu
FCS | Excellent Young Computer Scientists Forum | Paper
role On the Decision-Making Abilities in Role-Playing using Large Language Models
Chenglei Shen, Guofu Xie, Xiao Zhang, Jun Xu
AAAI 2025 CMASDL Workshop | Paper
hyperbandit HyperBandit: Contextual Bandit with Hypernetwork for Time-Varying User Preferences in Streaming Recommendation
Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu
CIKM 2023 | Paper

🎖 Honors and 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.

📖 Educations

  • 2023.09 - Present, PhD Candidate. Gaoling School of Artificial Intelligence, Renmin University of China.
  • 2019.09 - 2023.06, Bachelor. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan.

📚 Academic Services

  • Program Committee / Reviewer: CIKM 2024, CIKM 2025, AAAI 2026
  • Secondary Reviewer: EMNLP 2024, NeurIPS 2024, ICML 2025, ACL 2025, NeurIPS 2025, TOIS

👩🏻‍🏫 Teaching

  • Teaching Assistant, Ai Ethics and Safety, Spring 2025
  • Teaching Assistant, Intelligent Information Retrieval, Fall 2024
  • Teaching Assistant, Ai Ethics and Safety, Spring 2024
  • Teaching Assistant, Introduction to Big Data Analytics, Renmin University of China, Fall 2023

💻 Internships

  • Lenovo, AI Research Institute, focusing on controllable recommender systems.