💡 About Me

I am Xiaopeng Li, currently a 4th-year Ph.D. student at City University of Hong Kong, supervised by Prof. Xiangyu Zhao in AML Lab. Before that, I received my M.S. and B.Eng. degrees from Xi’an Jiaotong University.

My research interests include Recommender Systems, Information Retrieval, and Personalized Large Language Models. I have published several papers at top international AI conferences, with over 300+ citations.

🔥 News

• 2026.03:  I am honored to serve as a reviewer for NeurIPS 2026.
• 2026.03:  I am honored to serve as a reviewer for TPAMI.
• 2026.01:  I was invited to give a talk at Pinterest titled Generative Recommendation from a Tri-Decoupled Perspective.
• 2026.01:  I was invited to give a talk at Kuaishou titled Generative Recommendation from a Tri-Decoupled Perspective.
• 2026.01:  I am honored to serve as a reviewer for MM 2026.
• 2026.01:  🎉🎉 My co-first-author paper BlossomRec is accepted to WWW.
• 2025.12:  Welcome to check out our recent survey on generative recommendation, in collaboration with Kuaishou: A Survey of Generative Recommendation from a Tri-Decoupled Perspective: Tokenization, Architecture, and Optimization!
• 2025.12:  I am honored to serve as a reviewer for SIGIR 2026 and KDD 2026.
• 2025.12:  🎉🎉 Our paper A Survey of Personalization: From RAG to Agent is accepted to ACM TOIS.
• 2025.11:  🎉🎉 One paper is accepted to AAAI.
• 2025.09:  🎉🎉 One paper is accepted to NeurIPS 2025.
• 2025.09:  I join Kuaishou as a research intern, focusing on generative recommendation.
• 2025.09:  I am honored to serve as a reviewer for ICLR 2026.
• 2025.08:  🎉🎉 I am very honored to receive the Outstanding Academic Performance Award (OAPA) granted by CityUHK.
• 2025.08:  🎉🎉 One paper is accepted to EMNLP 2025.
• 2025.07:  🎉🎉 Two papers are accepted to CIKM 2025.
• 2025.07:  I am invited to give a talk, Beyond RAG: Towards the Agentic Era of Intelligent Agents, at the Data+AI Conference (DA 数智大会).
• 2025.07:  🎉🎉 One paper is accepted to ACM TOIS.
• 2025.05:  🎉🎉 One paper is accepted to ACL 2025.
• 2025.04:  Welcome to check out our latest survey Deep Research: A Survey of Autonomous Research Agents!
• 2025.04:  Welcome to check out our latest survey A Survey of Personalization: From RAG to Agent and its GitHub repository!
• 2025.03:  I am honored to serve as a PC member for RecSys 2025, CIKM 2025, and MM 2025.
• 2025.01:  🎉🎉 One paper is accepted to WWW 2025.

🏆 Honors and Awards

• Outstanding Academic Performance Award (OAPA-CityU 2025)
• Best Student Team & 2nd place overall in the “KDD CUP 2024 (Multi-Task Online Shopping Challenge for LLMs)” competition hosted by Amazon. (Group AML666)
• Excellent Postgraduate Student, Xi’an Jiaotong University
• Outstanding Undergraduate Graduates, Xi’an Jiaotong University

💻 Intern Experience

• Research Intern at Kuaishou, Recommendation Model Department
• Research Intern at Baidu, Search Science Team

🤝 Service

• Journal Reviewer: TPAMI, ACM TIST, ACM TKDD, ACM TOIS, IEEE/ACM TASLP, ESWA
• Conference PC Member / Reviewer (2026): KDD, SIGIR, MM, NeurIPS
• Conference PC Member / Reviewer (2025): KDD, IJCNN, IJCAI, WWW, MM, RecSys, CIKM
• Conference PC Member / Reviewer (2024): AAAI, IJCAI, KDD, CIKM, MM, ACL Rolling Review (ARR)
• Conference Volunteer: IJCAI 2023, WWW 2023

📝 Publications

Tutorials

Joint Modeling in Deep Recommender Systems
Pengyue Jia, Jingtong Gao, Yuhao Wang, Xiaopeng Li*, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
WWWW’2025, Proceedings of the ACM Web Conference 2025

Publications

”*” denotes equal contribution.

Preprints

• A Survey of Generative Recommendation from a Tri-Decoupled Perspective: Tokenization, Architecture, and Optimization
  Xiaopeng Li*, Bo Chen*, Junda She, Shiteng Cao, You Wang, Qinlin Jia, Haiying He, Zheli Zhou, Zhao Liu, Ji Liu, Zhiyang Zhang, Yu Zhou, Guoping Tang, Yiqing Yang, Chengcheng Guo, Si Dong, Kuo Cai, Pengyue Jia, Maolin Wang, Wanyu Wang, Shiyao Wang, Xinchen Luo, Qigen Hu, Qiang Luo, Xiao Lv, Chaoyi Ma, Ruiming Tang, Kun Gai, Guorui Zhou, Xiangyu Zhao
  ResearchGate

• MTA: A Merge-then-Adapt Framework for Personalized Large Language Models
  Xiaopeng Li*, Yuanjin Zheng*, Wanyu Wang, Wenlin zhang, Pengyue Jia, Yiqi Wang, Maolin Wang, Xuetao Wei, Xiangyu Zhao
  arXiv

• SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
  Xiaopeng Li, Xiangyang Li, Hao Zhang, Zhaocheng Du, Yichao Wang, Pengyue Jia, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
  arXiv

Conference & Journal Papers

• A Survey of Personalization: From RAG to Agent
  Xiaopeng Li*, Pengyue Jia*, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
  TOIS’2026

• Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
  Xiaopeng Li*, Jingtong Gao*, Pengyue Jia, Yichao Wang, Wanyu Wang, Yuhao Wang, Yejing Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
  CIKM’2025

• Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM
  Xiaopeng Li, Lixin Su, Pengyue Jia, Xiangyu Zhao, Suqi Cheng, Junfeng Wang, Dawei Yin
  TOIS’2025

• HAMUR: Hyper Adapter for Multi-Domain Recommendation
  Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
  CIKM’2023

• BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations
  Mengyang Ma*, Xiaopeng Li*, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
  WWW’2026

• Humanity’s Last Code Exam: Can Advanced LLMs Conquer Human’s Hardest Code Competition?
  Xiangyang Li*, Xiaopeng Li*, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Xiaoshuang Liu, Shengchun Xu, Yasheng Wang, Ruiming Tang
  EMNLP’2025

• Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
  Pengyue Jia, Derong Xu, Xiaopeng Li*, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
  ACL Findings’2025

• TAPO: Task-Referenced Adaptation for Prompt Optimization
  Wenxin Luo*, Weirui Wang*, Xiaopeng Li*, Weibo Zhou, Pengyue Jia, Xiangyu Zhao
  ICASSP’2025

• Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
  Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
  AAAI’2025

• Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
  Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
  NeurIPS’2025

• SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
  Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
  CIKM’2025

• SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
  Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
  WWW’2025

• G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
  Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
  NeurIPS’2024

• HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
  Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
  CIKM’2024

• D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
  Pengyue Jia, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Huifeng Guo, Ruiming Tang
  AAAI’2024

• MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
  Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
  NAACL’2024

Website last updated on 25th March 2026.