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Zhixun Li
(李志勋)

PhD Student
The Chinese University of Hong Kong
zxli [at] se (dot) cuhk (dot) edu (dot) hk


About Me

I am a third-year PhD candidate in the Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong (CUHK), fortunately advised by Prof. Jeffrey Xu Yu and Prof. Hong Cheng. Previously, I received my B.Eng. in Computer Science from Beijing Institute of Technology (BIT). My research interests include Large LLM Reasoning, AI for Science, and Data Mining.

Recently, my research interests lie in large reasoning models and AI for science, particularly in incentivizing reasoning capabilities in LLMs with RL. I'm always excited to exchange ideas, please feel free to contact me 🤩.

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Selected Publications

(Full list of publications can be found in Google Scholar)

  1. WWW'25
    Iceberg: Debiased Self-Training for Class-Imbalanced Node Classification
    Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu
    The Web Conference (WWW), 2025.
    PDF Code

  2. KDD'24
    Rethinking Fair Graph Neural Networks from Re-balancing
    Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
    PDF Code

  3. NeurIPS'23
    GSLB: The Graph Structure Learning Benchmark
    Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Yu
    Advances in Neural Information Processing Systems (NeurIPS), 2023.
    PDF Code

  4. IJCAI'24
    A survey of graph meets large language model: Progress and future directions
    Yuhan Li*, Zhixun Li*, Peisong Wang*, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
    International Joint Conference on Artificial Intelligence (IJCAI), 2024.
    PDF Code

  5. ICLR'25
    Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
    Guibin Zhang*, Yanwei Yue*, Zhixun Li*, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
    International Conference on Learning Representations (ICLR), 2025.
    PDF Code

  6. KDD'24
    ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
    Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
    PDF Code

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