About

I am a first-th year PhD student at Shanghai Jiao Tong University under the supervision of Yong-Lu Li . Prior to this, I graduated from ShanghaiTech University with master degree in 2024, where I was fortunate advised by Yunji Chen. I have got Bachelor's degree from Jilin University in 2021, where I major in Electronic Information Engineering.

My major research directions including Multimodal Learning and Emboedied AI.

News

  • [2024-10] Our work LLM Inception is submitted to arXiv.
  • [2023-12] I am excited to join RHOS under the supervision of Yong-Lu Li.
  • [2023-08] Our work Tree-of-Mixed-Thought is submitted to arXiv.
  • [2023-07] Our work Adaptive Gradient Modulation is accepted by ICCV2023.

    Publications

    * = equal contribution

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    ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy


    Hong Li * , Zhiquan Tan * , Xingyu Li * , Weiran Huang
    ArXiv 2024
    arXiv / Code
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    The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs


    Hong Li, Nanxi Li, Yuanjie Chen, Jianbin Zhu, Qinlu Guo, Cewu Lu, Yong-Lu Li
    ArXiv 2024
    arXiv / Code / Project
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    Boosting Multi-modal Model Performance with Adaptive Gradient Modulation


    Hong Li * , Xingyu Li * , Pengbo Hu, Yinuo Lei, Chunxiao Li, Yi Zhou
    ICCV, 2023
    arXiv / ICCV2023 / code
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    Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning


    Pengbo Hu * , Ji Qi * , Xingyu Li, Hong Li , Xinqi Wang, Bing Quan, Ruiyu Wang, Yi Zhou
    arXiv 2023

    Projects

    Comming soon...

    Services

    • Reviewer: NeurlPS 2024, ICLR 2025.

    Great collaborators

    • Xingyu Li (Assistant Professor in Lin Gang Laboratory): 2021 - Now.
    • Pengbo Hu (Research scientist in Zhiyuan Robot): 2021 - Now.
    • Yun Pei (Ph.D in Sun Yat-sen University, Pengcheng Lab): 2017 - 2021.