chenyiqun

Welcome to Yiqun Chen’s Homepage

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About me

My name is Yiqun Chen (陈逸群, in Chinese). Currently, I am pursuing my Ph.D. at the Gaoling School of Artificial Intelligence, Renmin University of China (RUC), under the guidance of Professor Jiaxin Mao. Before this, I earned my Master’s degree from the Institute of Automation, Chinese Academy of Sciences (CASIA), and my Bachelor’s degree from Shandong University (SDU).

My research interests lie in:

• Retrieval-Augmented Generation (RAG)
• Large Language Models for Ranking (LLM4Ranking)
• Information Retrieval (IR)
  • Search Result Diversification (SRD)
  • Application of Reinforcement Learning for IR
• Multi-Agent Reinforcement Learning (MARL)

If you are interested in my research or experience, please feel free to contact me.

Educations

• Ph.D. Candidate in Artificial Intelligence
  • Gaoling School of Artificial Intelligence (GSAI), Remim University of China (RUC)
  • 2023 - 2027
• M.Sc. in Pattern Recognition and Intelligent Systems
  • Institute of Automation, Chinese Academy of Sciences (CASIA)
  • 2020 - 2023
• B.Sc. in Automation
  • Shandong University (SDU)
  • 2016 - 2020

News

• 2025.1: 🎉🎉Two first-author paper is accepted by WWW 2025.
• 2024.4: 🎉One first-author paper is accepted by IJCAI 2024.
• 2023.9: I will join Remin University of China to pursue my Ph.D.
• 2023.4: I will join the Search Department of Baidu Inc. as an algorithm intern.

Publications

• MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
  Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin
  WWW 2025 paper

• TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
  Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin
  WWW 2025 paper

• PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
  Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang
  IJCAI 2024 paper

• Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems
  Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang
  IJCNN 2022 paper

• PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
  Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
  AAMAS 2024 paper

• Multi-Agent Hyper-Attention Policy Optimization
  Bin Zhang, Zhiwei Xu, Yiqun Chen* (co-first author), Dapeng Li, Yunpeng Bai, Guoliang Fan, Lijuan Li
  ICONIP 2022

• Deep Global and Local Matching Network for Implicit Recommendation
  Wei Yang, Yiqun Chen, Jun Sun, Yan Jin
  ICONIP 2022

Preprints

• Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
  Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao
  arXiv 2025 paper

Reviewers

AAMAS 2024, SIGIR-AP 2024, EMNLP 2024, AAMAS 2025, WWW 2025, IJCAI 2025, SIGIR 2025, ACL 2025

Internships

• 2023.5~now: Baidu Inc.
• 2022.4~2022.9: Huawei Noah’s Ark Lab
• 2021.4~2021.7: DiDi Chuxing

Awards

• 2024, First-class academic scholarship, Renmin University of China
• 2023, Merit Student, University of Chinese Academy of Sciences
• 2020, Outstanding Graduates, Shandong Province
• 2018-2019, SAMSUNG Scholarship (only 10 recipients school-wide)
• 2017-2019, National Scholarship, Ministry of Education (2 times)
• 2016-2019, First-class Scholarship, Shandong University (3 times)

Contacts

• Email: chenyiqun990321@{ruc.edu.cn, gmail.com}
• Wechat: 13853687820
• Twitter: @chenyiqun223336