Hi there 
Welcome to my Homepage!
Hi! I am a Ph.D. Candidate at the AI Engine Lab, Renmin University of China, supervised by Prof. Xu Chen.
My research interests primarily lie in Recommender Systems, LLM Agents, and AI for Social Science.
📧 Email: liyuanzi0313 [at] ruc.edu.cn · liyuanzi0313 [at] outlook.com
Please feel free to contact me if you have any questions or are interested in collaboration.
News
- 2026.04 🎉🎉 Paper accepted to SIGIR 2026: Divergence Meets Consensus.
- 2026.01 🎉🎉 Paper accepted to WWW 2026: R²NS.
- 2025.09 🎓🎓 Started Ph.D. at Renmin University of China.
- 2025.06 🎓🎓 Graduated from Shandong University with B.S. in Computer Science.
- 2025.02 💼💼 Started research internship at Huawei Noah's Ark Lab.
Experience
Renmin University of China
Sept. 2025 - Present
Ph.D. Candidate at AI Engine Lab, supervised by Prof. Xu Chen
Research: Recommender Systems, LLM Agents, AI for Social Science.
Sept. 2025 - Present
Ph.D. Candidate at AI Engine Lab, supervised by Prof. Xu Chen
Research: Recommender Systems, LLM Agents, AI for Social Science.
Huawei Noah's Ark Lab
Feb. 2025 - July 2025
Research Intern, mentored by Quanyu Dai and Zhenhua Dong
Conversational Recommender Systems.
Feb. 2025 - July 2025
Research Intern, mentored by Quanyu Dai and Zhenhua Dong
Conversational Recommender Systems.
Shandong University
Oct. 2021 - June 2025
Research Assistant at Information Retrieval Lab, supervised by Prof. Pengjie Ren and Prof. Xin Xin
Sequential Recommendation, Information Retrieval.
Oct. 2021 - June 2025
Research Assistant at Information Retrieval Lab, supervised by Prof. Pengjie Ren and Prof. Xin Xin
Sequential Recommendation, Information Retrieval.
Publications
(* equal contribution · † corresponding author · ‡ project leader)
Benchmarking LLMs for Community Governance Simulation with Life-history Narratives
Xu Chen1,*, Yuanzi Li1,*, Lei Wang1, Nan Lu2, Yang Wang2, Anding Wang3, Lei Shi2,†, Xiaoxing Fu2,†, Ji-Rong Wen1,†
A low-cost LLM-based framework for resident simulation and community governance policy pre-evaluation.
Submitted [PDF]
Xu Chen1,*, Yuanzi Li1,*, Lei Wang1, Nan Lu2, Yang Wang2, Anding Wang3, Lei Shi2,†, Xiaoxing Fu2,†, Ji-Rong Wen1,†
A low-cost LLM-based framework for resident simulation and community governance policy pre-evaluation.
Submitted [PDF]
Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
Yuanzi Li, Lingjie Wang, Jingyu Zhao, Zihang Tian, Lei Wang, Xu Chen
A multi-source negative sampling framework that balances divergence and consensus signals for sequential recommendation.
SIGIR 2026 (CCF-A) [PDF]
Yuanzi Li, Lingjie Wang, Jingyu Zhao, Zihang Tian, Lei Wang, Xu Chen
A multi-source negative sampling framework that balances divergence and consensus signals for sequential recommendation.
SIGIR 2026 (CCF-A) [PDF]
R²NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation
Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren, Xin Xin
A recall-and-reranking pipeline for negative sample selection in sequential recommendation.
WWW 2026 (CCF-A) [PDF]
Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren, Xin Xin
A recall-and-reranking pipeline for negative sample selection in sequential recommendation.
WWW 2026 (CCF-A) [PDF]
Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems
Yuanzi Li*, Quanyu Dai*, Xueyang Feng, Zihang Tian, Junhao Wang, Xu Chen†, Zhenhua Dong, Huifeng Guo
A fast domain adaptation user simulator for evaluating the basic capability and robustness of conversational recommender systems.
Submitted [PDF]
Yuanzi Li*, Quanyu Dai*, Xueyang Feng, Zihang Tian, Junhao Wang, Xu Chen†, Zhenhua Dong, Huifeng Guo
A fast domain adaptation user simulator for evaluating the basic capability and robustness of conversational recommender systems.
Submitted [PDF]
LLM Agents as Social Scientists: A Human–AI Collaborative Platform for Social Science Automation
Lei Wang, Yuanzi Li, Jinchao Wu, Heyang Gao, Xiaohe Bo, Xu Chen, Jirong Wen
A human-AI collaborative platform enabling LLM agents to automate social science research workflows.
arXiv 2026 [PDF]
Lei Wang, Yuanzi Li, Jinchao Wu, Heyang Gao, Xiaohe Bo, Xu Chen, Jirong Wen
A human-AI collaborative platform enabling LLM agents to automate social science research workflows.
arXiv 2026 [PDF]
- Submitted Benchmarking LLMs for Community Governance Simulation with Life-history Narratives
[PDF] - SIGIR 2026 Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
[PDF] - WWW 2026 R²NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation
[PDF] - Submitted Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems
[PDF] - Submitted ARCO: Adaptive Rubric with Co-Evolution for Multi-Step LLM-Based Agents
- Submitted Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User Simulators
- arXiv 2026 LLM Agents as Social Scientists: A Human–AI Collaborative Platform for Social Science Automation
[PDF] - arXiv 2026 Evaluating and Calibrating LLM Confidence on Questions with Multiple Correct Answers
[PDF] - ICAIS 2025 Cultural Dynamics in Multi-Agent Systems: Joint Effects of Individual Openness and Information Flow on Culture Dissemination
🏆 Most Social Impact Paper Award. [PDF] - arXiv 2024 Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation
[PDF]
Projects
Awesome-LLM4RS-Papers GitHub stars: 766
A curated list of Large Language Models for Recommender Systems papers. Project [code]
Recommendation-Paper-daily GitHub stars: 144
Daily updates on recommendation system papers. Project [code]
Awards
- 2025, Second Prize, AI Agent Competition
- 2024, Outstanding Academic Scholarship, Shandong University
- 2023, Outstanding Academic Scholarship, Shandong University
- 2022, Outstanding Academic Scholarship, Shandong University
- 2025, 🏆 Most Social Impact Paper Award, ICAIS 2025
Services
- Reviewer / Program Committee Member: AAAI 2026, ACL Rolling Review (ARR), SIGIR-AP, SIGIR, SIGKDD
Talks
- (No talks listed yet.)