Tsinghua University Postdoctoral Researcher

Information Retrieval Personalization Social Simulation LLM Agents
3243 Citations
28 h-index
62 Publications
20 Primary-author papers

Biography

I am a postdoctoral researcher at Tsinghua University, working with Prof. Yiqun Liu. I received my Ph.D. degree from Renmin University of China, supervised by Prof. Zhicheng Dou at the Gaoling School of Artificial Intelligence.

My research mainly focuses on information retrieval and natural language processing. I am currently working on applying language models to IR problems including personalization, social simulation, retrieval-augmented generation, LLM agents, and health-related model audits.

Publications

Google Scholar

As the Primary Author

  1. Large Language Models Exhibit Stigmatizing Behaviour in Contextual Judgements of Health Conditions

    Xi Wang, Yujia Zhou, Guangyu Zhou

    Nature Health Nature Index

    Featured in Science Chatbots can help perpetuate stigma around certain health conditions
  2. Parametric Social Identity Injection and Diversification in Public Opinion Simulation

    Hexi Wang, Yujia Zhou, Bangde Du, Qingyao Ai, Yiqun Liu

    SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2026 / CCF A

  3. Investigating Prosocial Behavior Theory in LLM Agents under Policy-Induced Inequities

    Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu

    Annual AAAI Conference on Artificial Intelligence AAAI 2026 / CCF A

  4. How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA

    Yujia Zhou, Zheng Liu, Zhicheng Dou

    International Conference on Computational Linguistics COLING 2025 / CCF B

  5. The 1st NIP@IR Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AI

    Yujia Zhou, Wei Ji, Xuri Ge, Qingyao Ai, Joemon M. Jose, Yiqun Liu

    International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2025 Workshop

  6. Boosting the Potential of Large Language Models with an Intelligent Information Assistant

    Yujia Zhou, Zheng Liu, Zhicheng Dou

    Annual Conference on Neural Information Processing Systems NeurIPS 2024 / CCF A

  7. Trustworthiness in Retrieval-Augmented Generation Systems: A Survey

    Yujia Zhou, Wenbo Zhang, Jingying Shao, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Jason Chen Zhang, Zhicheng Dou, Philip S. Yu, Jiaxin Mao

    arXiv 2409.10102v2 / 2026

  8. ROGER: Ranking-oriented Generative Retrieval

    Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen

    ACM Transactions on Information Systems TOIS / CCF A / Q1 / IF 11.2

  9. Metacognitive Retrieval-Augmented Large Language Models

    Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou

    The Web Conference WWW 2024 / CCF A

  10. Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism

    Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou

    The Web Conference WWW 2024 / CCF A

  11. UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models

    Xiaoxi Li*, Yujia Zhou*, Zhicheng Dou

    Annual AAAI Conference on Artificial Intelligence AAAI 2024 / CCF A

  12. WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm

    Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen

    IEEE Transactions on Knowledge and Data Engineering TKDE / CCF A / Q1 Top / IF 11.6

  13. Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback

    Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

    Conference on Empirical Methods in Natural Language Processing EMNLP 2023 / CCF B

  14. DynamicRetriever: A Pre-training Model-based IR System without an Explicit Index

    Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen

    Machine Intelligence Research MIR / Q1 / IF 10

  15. Socialformer: Social Network Inspired Long Document Modeling for Document Ranking

    Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma

    The Web Conference WWW 2022 / CCF A

  16. Enhancing Potential Re-finding in Personalized Search with Hierarchical Memory Networks

    Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

    IEEE Transactions on Knowledge and Data Engineering TKDE / CCF A / Q1 Top / IF 11.6

  17. PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling

    Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen

    ACM International Conference on Information and Knowledge Management CIKM 2021 / CCF B

  18. Group based Personalized Search by Integrating Search Behaviour and Friend Network

    Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen

    International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2021 / CCF A

  19. Encoding History with Context-aware Representation Learning for Personalized Search

    Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

    International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2020 / CCF A

  20. Enhancing Re-finding Behavior with External Memories for Personalized Search

    Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

    ACM International Conference on Web Search and Data Mining WSDM 2020 / CCF B

  21. Dynamic Personalized Search Based on RNN with Attention Mechanism

    Yujia Zhou, Zhicheng Dou, Songwei Ge, Ji-Rong Wen

    Chinese Journal of Computer CJC / Chinese CCF A

* indicates co-first authorship. indicates corresponding author(s).

As a Co-author

  1. Chinese Court Simulation with LLM-Based Agents System

    Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, Haitao Li, Cheng Luo, Shaokun Zou, Yujia Zhou, Weihang Su, Yiqun Liu, Qingyao Ai

    Annual Meeting of the Association for Computational Linguistics ACL 2026 Findings

  2. TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation

    Bangde Du, Minghao Guo, Songming He, Ziyi Ye, Xi Zhu, Weihang Su, Shuqi Zhu, Yujia Zhou, Yongfeng Zhang, Qingyao Ai, Yiqun Liu

    Annual Meeting of the Association for Computational Linguistics ACL 2026 Findings

  3. Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs

    Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai

    Annual Meeting of the Association for Computational Linguistics ACL 2026 / CCF A

  4. Generalized Pseudo-Relevance Feedback

    Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai

    The Web Conference WWW 2026 / CCF A

  5. DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

    Wenhan Liu, Yutao Zhu, Zhicheng Dou, Yujia Zhou

    ACM Transactions on Information Systems TOIS / CCF A / Q1 / IF 11.2

  6. Hierarchical Document-aware Interest Profiling in Personalized Search

    Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

    IEEE Transactions on Knowledge and Data Engineering TKDE / CCF A / Q1 Top / IF 11.6

  7. The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review

    Xi Wang, Yujia Zhou, Guangyu Zhou

    JMIR Mental Health Q1 / IF 7.4

  8. Enhancing Health Assessments with Large Language Models: A Methodological Approach

    Xi Wang, Yujia Zhou, Guangyu Zhou

    Applied Psychology: Health and Well-Being Q1

  9. Unveiling the Cognitive Burden: The Impact of Stigma on Distorted Thinking among Individuals Living with Hepatitis B

    Xi Wang, Yujia Zhou, Guangyu Zhou

    International Journal of Clinical and Health Psychology Q1

  10. Unsupervised Dense Retrieval with Counterfactual Contrastive Learning

    Haitian Chen, Qingyao Ai, Xiao Wang, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu

    ACM International Conference on Web Search and Data Mining WSDM 2026 / CCF B

  11. Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation

    Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou, Dingbo Yuan, Xudong Wang, Jun Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai

    Annual AAAI Conference on Artificial Intelligence AAAI 2026 / CCF A

  12. Simulating Dispute Mediation with LLM-Based Agents for Legal Research

    Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren, Wuyue Wang, Yiqun Liu, Yueyue Wu, Qingyao Ai

    Annual AAAI Conference on Artificial Intelligence AAAI 2026 / CCF A

  13. Search-o1: Agentic Search-Enhanced Large Reasoning Models

    Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou

    Conference on Empirical Methods in Natural Language Processing EMNLP 2025 / CCF B

  14. SimVBG: Simulating Individual Values by Backstory Generation

    Bangde Du, Ziyi Ye, Zhijing Wu, Monika A. Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu

    Conference on Empirical Methods in Natural Language Processing EMNLP 2025 / CCF B

  15. Augmenting Multi-Agent Communication with State Delta Trajectory

    Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai

    Conference on Empirical Methods in Natural Language Processing EMNLP 2025 / CCF B

  16. ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs

    Xuancheng Li, Haitao Li, Yujia Zhou, Qingyao Ai, Yiqun Liu

    Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region SIGIR-AP 2025

  17. EEG Reveals the Cognitive Impact of Polarized Content in Short Video Scenarios

    Bangde Du, Ziyi Ye, Monika A. Jankowska, Zhijing Wu, Qingyao Ai, Yujia Zhou, Yiqun Liu

    Scientific Reports Sci Rep / Q1 / IF 3.9

  18. From Matching to Generation: A Survey on Generative Information Retrieval

    Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yuyao Zhang, Peitian Zhang, Yutao Zhu, Zhicheng Dou

    ACM Transactions on Information Systems TOIS / CCF A / Q1 / IF 11.2

  19. CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges

    Haitao Li, Junjie Chen, Qingyao Ai, Zhumin Chu, Yujia Zhou, Qian Dong, Yiqun Liu

    Annual Meeting of the Association for Computational Linguistics ACL 2025 / CCF A

  20. RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

    Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yongkang Wu, Zhonghua Li, Qi Ye, Zhicheng Dou

    Annual Meeting of the Association for Computational Linguistics ACL 2025 / CCF A

  21. Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing

    Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu

    Annual Meeting of the Association for Computational Linguistics ACL 2025 Findings

  22. Parametric Retrieval Augmented Generation

    Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu

    International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2025 / CCF A

  23. Brain Image Reconstruction with Retrieval-Augmented Diffusion

    Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu

    International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2025 / CCF A

  24. RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects

    Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai

    International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2025 / CCF A

  25. Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

    Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu

    International Conference on Learning Representations ICLR 2025

  26. Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task

    Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou

    ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2025 / CCF A

  27. Evaluating the Modesty of RAG Systems at the NTCIR-19 R2C2 Task: Potential Challenges

    Tetsuya Sakai, Shitao Tao, Akari Ishikawa, Hui Fang, Ziliang Zhao, Yujia Zhou, Nuo Chen, Yi I. Song

    NTCIR 2025

  28. Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems

    Ziliang Zhao, Zhicheng Dou, Yujia Zhou

    ACM International Conference on Information and Knowledge Management CIKM 2024 / CCF B

  29. Information Retrieval Meets Large Language Models

    Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie

    Companion Proceedings of the ACM Web Conference WWW Companion 2024

  30. Grounding Language Model with Chunking-Free In-Context Retrieval

    Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou

    Annual Meeting of the Association for Computational Linguistics ACL 2024 / CCF A

  31. BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence

    Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou

    Annual Meeting of the Association for Computational Linguistics ACL 2024 Findings

  32. An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements

    Chenlong Deng, Zhicheng Dou, Yujia Zhou, Peitian Zhang, Kelong Mao

    Annual Meeting of the Association for Computational Linguistics ACL 2024 Findings

  33. Unsupervised Real-Time Hallucination Detection Based on the Internal States of Large Language Models

    Weihang Su, Changyue Wang, Qingyao Ai, Yiran Hu, Zhijing Wu, Yujia Zhou, Yiqun Liu

    Annual Meeting of the Association for Computational Linguistics ACL 2024 Findings

  34. How to Personalize and Whether to Personalize? Candidate Documents Decide

    Wenhan Liu, Yujia Zhou, Yutao Zhu, Zhicheng Dou

    Knowledge and Information Systems KAIS / CCF B

  35. CorpusLM: Towards an Ultimate Language Model on Corpus for Knowledge-Intensive Tasks

    Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu

    International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2024 / CCF A

  36. Generative Retrieval via Term Set Generation

    Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao

    International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2024 / CCF A

  37. Intent-oriented Dynamic Interest Modeling for Personalized Web Search

    Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen

    ACM Transactions on Information Systems TOIS / CCF A / Q1 / IF 11.2

  38. VILE: Block-Aware Visual Enhanced Document Retrieval

    Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen

    ACM International Conference on Information and Knowledge Management CIKM 2023 / CCF B

  39. NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR

    Zihan Wang, Yujia Zhou, Yiteng Tu, Zhicheng Dou

    ACM International Conference on Information and Knowledge Management CIKM 2023 / CCF B

  40. PSLOG: Pretraining with Search Logs for Document Ranking

    Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen

    ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2023 / CCF A

  41. Incorporating Explicit Subtopics in Personalized Search

    Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen

    The Web Conference WWW 2023 / CCF A

  42. Improving Personalized Search with Dual-Feedback Network

    Chenlong Deng, Yujia Zhou, Zhicheng Dou

    ACM International Conference on Web Search and Data Mining WSDM 2022 / CCF B

Honors and Rewards

  • Shuimu Tsinghua Scholar Program
  • Global Top 40 of Baidu Scholarship
  • Microsoft Research Asia Fellowship Nomination Award
  • National Scholarship for Ph.D. Students
  • National Scholarship for Ph.D. Students
  • Innovative Talents Cultivation Funded Programs of Renmin University of China
  • Best Student Paper Award in CCIR

Academic Service

Journal reviewer and program committee member for:

  • TALLIP
  • JASIST
  • TOIS
  • SIGIR
  • SIGKDD
  • The Web Conference
  • WSDM
  • CIKM

Contact

For academic exchange and collaboration, please contact me at zhouyujia@mail.tsinghua.edu.cn.