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 Associate Professors Shu Wu and Qiang Liu.

My research interests focus on Complex Dynamic Graph Learning, Large Language Model (Model Edit), Recommender Systems, and Temporal Knowledge Graphs. 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).

Selected Publications

  1. 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.
  2. Learning Latent Relations for Temporal Knowledge Graph Reasoning.
    ACL 2023. (CCF-A)
    Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, and Liang Wang.
  3. 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.
  4. 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.
  5. Deep Contrastive Multiview Network Embedding.
    CIKM 2022.(CCF-B)
    Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, and Liang Wang.
  6. 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.
  7. 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

  • KDD2022, AAAI2022, PAKDD2022, KDD2023

Journal Reviewer

  • IEEE TKDE, IEEE TBD, Neural Networks

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)