Xiaopeng Li

Xiaopeng Li

Ph.D. student at City University of Hongkong

About Me

Introduction

I am Xiaopeng Li, currently a 2nd-year Ph.D. student at City University of Hong Kong, supervised by Prof. Xiangyu Zhao in AML Lab. Before that, I received M.S. and B.Eng degrees from Xi’an Jiaotong University in 2022 and 2019.

I am broadly interested in Data Mining and Machine Learning. My current research interests and outputs are summarized in several topics:

  1. Multi-Domain Recommendation
  2. LLMs for Information Retrieval
  3. LLMs Reasoning & Multi-Modal LLMs
  4. Personalized RAG

If you are interested in my work or are seeking collaborations, feel free to contact me!
Email: xiaopli2-c@my.cityu.edu.hk.

Selected Publications

”*” denotes equal contribution.

Pre-print

  • 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. [link]
  • Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
    • Xiaopeng Li*, Jingtong Gao*, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yuhao Wang, Yejing Wang, Huifeng Guo, Ruiming Tang
    • Arxiv. [link]
  • 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
    • Arxiv. [link]
  • Joint Modeling in Recommendations: A Survey
    • Xiangyu Zhao, Yichao Wang, Bo Chen, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Pengyue Jia, Qidong Liu, Huifeng Guo, Ruiming Tang
    • Arxiv. [link]
  • 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
    • Arxiv. [link]

Conference & Journal Papers

  • HAMUR: Hyper Adapter for Multi-Domain Recommendation
    • Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
    • CIKM’2023. [link]
  • TAPO: Task-Referenced Adaptation for Prompt Optimization
    • Wenxin Luo*, Weirui Wang*, Xiaopeng Li*, Weibo Zhou, Pengyue Jia, Xiangyu Zhao
    • ICASSP’2025. [link]
  • 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. [link]
  • 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. [link]
  • 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. [link]
  • 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. [link]
  • 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. [link]

Tutorials

  • Joint Modeling in Deep Recommender Systems

Work Experience

Research Intern - Baidu, Search Science Team
Research Intern - Huawei, Noah’s Ark Lab
Research Intern - Alibaba, Alibaba Cloud
SDE Intern - Huawei, Huawei Cloud

Teaching Experience

2024~2025 Semester B - Introduction to Computational Scocial Science, TA
2024~2025 Semester A - Fundamentals of Machine Learning, TA
2023~2024 Semester B - Introduction to Computational Scocial Science, TA

Service

Journal Reviewer:
ACM TIST, ACM TKDD, ACM TOIS, IEEE/ACM TASLP, ESWA

Conference PC Member/Reviewer:
2024: AAAI, IJCAI, KDD, CIKM, MM, ACL Rolling Reviewer
2025: KDD, ICLR, ICASSP, IJCNN, IJCAI, WWW, MM, RecSys, CIKM

Conference Volunteer:
IJCAI’2023, WWW’2023

Awards

News

[2025.03] Serve as the PC member in RecSys’2025, CIKM’2025, MM’2025.
[2025.01] One paper is accepted by WWW’2025.

2024

[2024.12] Serve as the PC member in IJCAI'2025, WWW'2025.\ [2024.12] One paper is accepted by ICASSP'2025.\ [2024.12] Our tutorial proposal "Joint Modeling in Deep Recommender Systems" is accepted by WWW'2025.\ [2024.09] Serve as the reviewer in ICLR'2025.\ [2024.09] One paper is accepted in NeurIPS'2024.\ [2024.08] Serve as the reviewer in ICASSP'2025.\ [2024.08] Serve as the PC member in KDD'2025.\ [2024.07] Our team AML_Lab@CityU won [KDD CUP'2024](https://discourse.aicrowd.com/t/announcing-the-winners-of-amazon-kdd-cup-2024/10758) at 2nd place (2/502), earning a prize of $8,750. A heartfelt thanks to all my teammates for working together.\ [2024.07] One paper is accepted by CIKM'2024.\ [2024.05] Accepted as reviewer of ACM Transactions on Intelligent Systems and Technology (ACM TIST).\ [2024.04] Accepted as reviewer of IEEE/ACM Transactions on Audio, Speech and Language Processing (IEEE/ACM TASLP).\ [2024.04] Serve as the PC member in MM'2024.\ [2024.03] Serve as the PC member in CIKM'2024.\ [2024.03] One paper is accepted by NAACL'2024.\ [2024.02] Serve as the PC member in KDD'2024.\ [2024.02] Accepted as reviewer of ACM Transactions on Information Systems (ACM TOIS).

2023

[2023.12] Serve as the PC member in IJCAI'2024.\ [2023.12] One paper is accepted by AAAI'2024.\ [2023.12] Accepted as reviewer of ACM Transactions on Knowledge Discovery from Data (ACM TKDD).\ [2023.10] Accepted as reviewer of Expert Systems With Applications (ESWA).\ [2023.08] I will serve as the PC member in AAAI'2024.\ [2023.06] Serve as volunteer of IJCAI'2023.\ [2023.06] One paper is accepted by CIKM'2023.\ [2023.03] Serve as volunteer of WWW'2023.\ [2023.01] Start my Ph.D. at CityU HK.

Website last updated on 27rd March 2025.