Zichuan Liu | 刘子川

I am a master student at Nanjing University, supervised by Prof. Chunlin Chen, and I am privileged to work closely with Dr. Wei Cheng, A/Prof. Dongsheng Luo, and A/Prof. Mengnan Du. I have also spent time at Microsoft Research, advised by Dr. Lei Song and managed by Dr. Jiang Bian. Before that, I was a research intern at DAMO Academy of Alibaba Group, advised by Dr. Qingsong Wen. Previously, I completed my B.S. in Computer Science at Wuhan University of Technology, working with A/Prof. Rui Zhang.

My research interests focus on Reinforcement Learning, eXplainable Artificial Intelligence, and Trustworthy LLMs, especially with applications in multiple sequences, offline models, and dynamic environments, allowing them to explicitly adapt to non-stationary task distributions in real-world. For your information, please see my research statement.

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Invited Talk

  • "Perturbation-based Techniques for Explaining Sequence Predictions", April, 2024. See This Slide.
  • "Interpretable and Efficient Multi-Agent Reinforcement Learning", February, 2024. See This Slide.

  • Research

    Experience


    Microsoft Research Asia
    2024.10 - 2025.06
    Research Intern at Industry Innovation Center
    Milestones: ICLR'25, TODO
    Research Advisor: Dr. Lei Song, working closely with Dr. Wei Cheng
    Microsoft Research Asia
    2023.11 - 2024.05
    Research Intern at Machine Learning Group
    Milestones: ICML'24a, ICML'24b, NeurIPS'24, ArXiv'24, CoG'24
    Research Advisor: Dr. Lei Song and Dr. Jiang Bian
    Alibaba DAMO Academy & Alibaba Cloud
    2023.06 - 2023.11
    Research Intern
    Milestones: ICLR'24, CIKM'24
    Research Advisor: Dr. Qingsong Wen
    Nanjing University
    2022.09 - Present
    M.S. in Electronic Engineering
    Milestones: ICML'23, TPAMI'25, ArXiv'23
    GPA: 89.38/100, Supervisor: Prof. Chunlin Chen
    Wuhan University of Technology
    2018.09 - 2022.06
    B.S. in Computer Science
    Milestones: IEEE TNSE, SIGSPATIAL'21
    GPA: 91.10/100, Advisor: A/Prof. Rui Zhang

    Service

  • Reviewer, International Conference on Machine Learning (ICML), Position Paper Track, 2025.
  • Reviewer, International Conference on Machine Learning (ICML), 2025.
  • Reviewer, International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
  • Reviewer, International Conference on Learning Representations (ICLR), 2025.
  • Reviewer, Neural Information Processing Systems (NeurIPS), 2024.
  • Reviewer, IEEE Transactions on Network Science and Engineering (TNSE), 2022.
  • External reviewer, International Conference on Artificial Neural Networks (ICANN), 2022.
  • External reviewer, IEEE Transactions on Computational Social Systems (TCSS), 2022.

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