Zijian Li

Zijian Li

About Zijian

Hi, welcome to my website! I am Zijian Li (李子健), a 3rd-year PhD student at ECE, HKUST, supervised by Prof. Jun Zhang. My current research interests mainly include (multimodal) large language models, retrieval-augmented generation, and agent training etc. Prior to that, I received B.Eng. degree from South China University of technology (SCUT) in 2020 and M.Sc. degree from Hong Kong Polytechnic University (Polyu) from 2022.

I am currently a research intern in Tongyi Lab, focusing on Agent Training, under advised by Dr. Yong Jiang. If you are interested in my research, do not hesitate to contact me!

Internships

  • (July 2025 - Present) Research Intern, Tongyi Lab, Alibaba Group, Hangzhou, China.
    Advisor: Yong Jiang
    Interests: Agent Training

  • (Jan. 2024 - July 2025) Research Intern, MicroSoft Research Asia, Beijing, China.
    Advisor: Rui Wang
    Interests: Retrieval Augmented Generation, Multimodal Large Language Models

Selected Publications

  • [Preprint] Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data [paper] [Code and data are coming soon!]
    Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

  • [NAACL 2025 Main] Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models [paper] [code]
    Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

  • [IEEE Trans. Mob. Comput. (CCF A)] Federated Client-Invariant Representation Learning [paper]
    Zijian Li, Zehong Lin, Jiawei Shao, Yuyi Mao, Jun Zhang

  • [IEEE Trans. Mob. Comput. (CCF A)] Feature Matching Data Synthesis for Federated Non-IID Data [paper]
    Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

  • [IJCAI 2022 workshop] Federated learning with GAN-based data synthesis for non-IID clients [paper]
    Zijian Li, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

  • [IEEE Trans. Mob. Comput. (CCF A)] Delayed Local-SGD for Distributed Training for Linear Speedup [paper]
    XiaoLu Wang, Zijian Li, Shi Jin, Jun Zhang

  • A survey of what to share in federated learning: Perspectives on model utility, privacy leakage, and communication efficiency [paper]
    Jiawei Shao*, Zijian Li*, Wenqiang Sun*, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Yuyi Mao, Jun Zhang