Mengqi Zhang

Mengqi Zhang

Assistant Professor at Shandong University

About me

Hi! I am Mengqi Zhang (张孟奇), a tenure-track assistant professor in the School of Computer Science and Technology, Shandong University, and also a member of the Information Retrieval Lab. Prior to this position, I earned my Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) and University of Chinese Academy of Sciences (UCAS), under the supervision of Professor Liang Wang, and co-advised by Professors Shu Wu and Qiang Liu.

我的研究兴趣主要聚焦于大语言模型的可信性与可控性，包括知识更新、可解释性分析与模型安全性等关键问题，涉及任务如知识编辑、遗忘学习以及检索增强生成等。 此外，我也曾在动态知识图谱推理与推荐系统方向开展过相关研究。有兴趣保研、考研或本科生科研助理的，欢迎联系。 My research primarily focuses on the trustworthiness and controllability of large language models (LLMs), with particular interests in knowledge updating, interpretability, and model safety, including tasks such as knowledge editing, unlearning, and retrieval-augmented generation. I have also conducted research in temporal knowledge graph reasoning and recommender system. Feel free to reach out if you’re interested in learning more about my work or exploring potential collaborations (mengqi.zhang [at] sdu [dot] edu [dot] cn).

Preprint

  1. Disentangling Knowledge Representations for Large Language Model Editing.
    Mengqi Zhang *, Zisheng Zhou *, Xiaotian Ye, Qiang Liu, Zhaochun Ren, Zhumin Chen, Pengjie Ren
  2. KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing.
    Mengqi Zhang *, Bowen Fang *, Qiang Liu, Xiaotian Ye, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang
  3. LLM Unlearning Should Be Form-Independent.
    Xiaotian Ye, Mengqi Zhang, Shu Wu
  4. Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms.
    Xiaotian Ye, Mengqi Zhang, Shu Wu
  5. UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets.
    Wenyu Wang, Mengqi Zhang, Xiaotian Ye, Zhaochun Ren, Pengjie Ren, Zhumin Chen

Selected Publications

  1. Uncovering Overfitting in Large Language Model Editing.
    ICLR 2025 Spotlight (Top 5.1%). (CAAI-A)
    Mengqi Zhang *, Xiaotian Ye *, Qiang Liu, Shu Wu, Pengjie Ren, Zhumin Chen
  2. ExcluIR: Exclusionary Neural Information Retrieval.
    AAAI 2025. (CCF-A)
    Wenhao Zhang, Mengqi Zhang #, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren
  3. Knowledge Graph Enhanced Large Language Model Editing.
    EMNLP 2024. (CCF-B)
    Mengqi Zhang *, Xiaotian Ye *, Qiang Liu, Pengjie Ren, Shu Wu, and Zhumin Chen.
  4. Generative Retrieval as Multi-Vector Dense Retrieval.
    SIGIR 2024. (CCF-A) Honorable Mentions (最佳论文提名奖)
    Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren.
  5. Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning.
    WWW 2023. (CCF-A)
    Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, and Liang Wang.
  6. Learning Latent Relations for Temporal Knowledge Graph Reasoning.
    ACL 2023. (CCF-A)
    Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, and Liang Wang.
  7. Dynamic Graph Neural Networks for Sequential Recommendation.
    IEEE Transactions on Knowledge and Data Engineering 2023. (CCF-A)
    Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, and Liang Wang.
  8. MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning.
    EMNLP 2022. (CCF-B)
    Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, and Xiaoyu Zhang.
  9. Deep Contrastive Multiview Network Embedding.
    CIKM 2022.(CCF-B)
    Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, and Liang Wang.
  10. Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation.
    IEEE Transactions on Knowledge and Data Engineering 2020. (CCF-A)
    Mengqi Zhang, Shu Wu, Meng Gao, Xin Jiang, Ke Xu, and Liang Wang.
  11. Dynamic Graph Collaborative Filtering.
    ICDM 2020. Regular Paper (CCF-B)
    Xiaohan Li*, Mengqi Zhang *, Shu Wu, Zheng Liu, Liang Wang, and Philip S Yu.

Experiences

School of Computer Science and Technology, Shandong University
[2023.07 – Present]      Assistant Professor

School of Artificial Intelligence, University of Chinese Academy Sciences
Institute of Automation, Chinese Academy of Sciences
[2019.09 – 2023.06]      Ph.D in Computer Application Technology
Advisor: Professor Liang Wang

School of Mathematics and Systems Science, Beihang University
[2016.09 – 2019.01]      M.Sc. in Mathematics
Advisor: Professor Xin Jiang

School of Mathematics and Computational Science, Xiangtan University
[2012.09 – 2016.06]      B.Sc. in Mathematics
Advisor: Professor Huayi Wei

Professional Services

Conference Reviewer

  • NeurIPS, ICLR, KDD, SIGIR, AAAI, ACL, EMNLP, etc.

Journal Reviewer

  • IEEE TKDE, TOIS, IEEE TBD, Neural Networks, etc.

Honors and Awards

  • 2023 CAS Presidential Scholarship (中国科学院院长奖)
  • 2023 Beijing Outstanding Graduate Student Awards (北京市优秀毕业生)
  • 2023 University of CAS Outstanding Graduate Student Awards (中国科学院大学优秀毕业生)