🕰️ Bio

My name is (Gavin) Guanzhou Ke, and I am pursuing my doctoral degree in Information Management at Beijing Jiaotong University. I received my B.S. in Communication Engineering and M.S. in Systems Engineering from Wuyi University in 2019 and 2022, respectively. I’m currently working on multi-view (or modality) representation learning, especially incomplete view scenario. I’m focusing on designing the new fusion method to improve the expressive power of multi-view representation.

🎯 Interested

Large Multimodal models, Missing modality completion, Embodied AI.

🔥 Status

I expect to graduate in June 2026. I am looking for an internship or job in the field of large multimodal model applications or embodied AI. The working place is preferably close to Shenzhen, China. If you have any recommendations, please contact me. Thanks.

📣 News

  • [02/2025], one papers is accepted in CVPR 2025 (CCF A).
  • [12/2024], two papers are accepted in AAAI 2025 (CCF A).
  • [10/2024], as CSC visiting PhD student (1 year) at Singapore Management University.
  • [02/2024], as an intern in the AI4Science group at Microsoft Research Asia Shanghai.
  • [02/2024], one paper is accepted in CVPR 24 (CCF A).
  • [10/2023], one paper is accepted in Information Fusion.
  • [07/2023], one paper is accepted in ACM MM 2023. (CCF A)
  • [10/2022], one paper is accepted in ICDM Workshop 2022. (CCF B)
  • [09/2022], is studied at Beijing Jiaotong University. (Ph.D.)
  • [12/2021], one paper is accepted in IEEE Bigdata 2021. (CCF C)

🤝 Services

  • Journal Reviewer:
    • IEEE TMM / T-CSVT / T-NNLS
    • Information Sciences
  • Conference Reviewer:
    • ACM MM 2023 & 24
    • AAAI 2023

📄 Selected Publications

    Knowledge Bridger: Towards Training-free Missing Multi-modality Completion
    Guanzhou Ke, Shengfeng He, Xiao-Li Wang, Bo Wang, Guoqing Chao, Yuanyang Zhang, Xie Yi and HeXing Su
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
    Rank: CCF A , MISC: [PDF] [CODE]
    Rethinking Multi-view Representation Learning via Distilled Disentangling
    Guanzhou Ke, Bo Wang, Xiaoli Wang, Shengfeng He
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    Rank: CCF A , MISC: [PDF] [CODE]
    Disentangling Multi-view Representations Beyond Inductive Bias
    Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, and Shengfeng He
    The 31st ACM International Conference on Multimedia (ACM MM 2023)
    Rank: CCF A , MISC: [PDF] [CODE]
    CONAN: Contrastive Fusion Networks for Multi-view Clustering
    Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, and Yannan Xie
    IEEE International Conference on Big Data (Big Data)
    Rank: CCF C , MISC: [PDF] [CODE]