Jingsen Zhang 张景森

Ph.D. Student @ Renmin University of China
📧 zhangjingsen@ruc.edu.cn

I am a fourth-year Ph.D. student at Gaoling School of Artificial Intelligence, Renmin University of China, supervised by Prof. Xu Chen. Prior to this, I earned my Master's degree at the School of Information, Renmin University of China, supervised by Prof. Wayne Xin Zhao.

My research interests lie in Recommender Systems, with a particular focus on Explainable Recommendation. Recently, I have been exploring the field of LLM-based Agents.

Email  /  Google Scholar  /  Github

🔥 News

📝 Publications

(* denotes equal contribution. Representative papers are highlighted.)

• Enhancing Recommendation Explanations through User-Centric Refinement
  Jingsen Zhang, Zihang Tian, Xueyang Feng, Xu Chen, Chong Chen
  EMNLP 2025（Findings） Paper

• Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
  Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong
  ACL 2025（Findings） Paper

• Explainable Recommendation with Simulated Human Feedback
  Jiakai Tang, Jingsen Zhang, Zihang Tian, Xueyang Feng, Lei Wang, Xu Chen
  TOIS Paper

• Natural Language Explainable Recommendation with Robustness Enhancement
  Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
  KDD 2024 Paper

• Active Explainable Recommendation with Limited Labeling Budgets
  Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
  ICASSP 2024 Paper

• User Behavior Simulation with Large Language Model based Agents
  Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen
  TOIS Paper

• A Survey on Large Language Model based Autonomous Agents
  Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen
  FCS Paper

• Recommendation with Causality enhanced Natural Language Explanations
  Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang
  WWW 2023 Paper

• REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
  Xu Chen, Jingsen Zhang*, Lei Wang*, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
  NeurIPS 2023 Paper

• When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation
  Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen
  RecSys 2023 Paper

• RecBole 2.0: Towards a More Up-to-Date Recommendation Library
  Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen
  CIKM 2022 Paper Best Resource Paper Runner Up

• Data Augmented Sequential Recommendation based on Counterfactual Thinking
  Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
  TKDE Paper

• Causally attentive collaborative filtering
  Jingsen Zhang, Xu Chen, Wayne Xin Zhao
  CIKM 2021 Paper

• Counterfactual data-augmented sequential recommendation
  Zhenlei Wang*, Jingsen Zhang*, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
  SIGIR 2021 Paper

🎓 Education

• Ph.D., Renmin University of China (2022.09 - 2026.06)
  Artificial Intelligence, Gaoling School of Artificial Intelligence
  Advisor: Xu Chen, AI ENGINE Lab


• M.E., Renmin University of China (2020.09 - 2022.06)
  Software Engineering, School of Information
  Advisor: Wayne Xin Zhao, RUC AIBOX


• B.E., Dalian Maritime University (2016.09 - 2020.06)
  Software Engineering, Information Science and Technology College

💼 Experiences

• Research Intern, Huawei Cloud (2025.03 - 2025.07)
  Supervisor: Chong Chen. Work on LLM-based Agent.


• Research Intern, Huawei Noah's Ark Lab (2022.07 - 2022.10)
  Supervisor: Quanyu Dai. Work on Generative Explainable Recommendation.


• Research Intern, Baidu Search Strategy Department (2021.07 - 2021.12)
  Supervisors: Long Xia, Jiashu Zhao. Work on Unbiased Learning to Rank.

🏆 Awards

• National Scholarship for Doctoral Students, 2024 (博士研究生国家奖学金)
• Outstanding Innovative Talents Cultivation Funded Programs of RUC, 2024 (拔尖创新人才资助计划)
• Student Travel Grant, KDD, 2024
• First-class Academic Scholarship, RUC, 2021 & 2023 & 2024
• Merit Scholarship, RUC, 2021 & 2023
• Student Travel Grant, CIKM, 2021
• Outstanding Graduates, Dalian Maritime University, 2020

🔍 Services

• Reviewer / PC Member
  Conference: KDD'24, NeurIPS'24, RecSys'25
  Journal: TOIS, TKDD, TORS

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