🕰️ 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.

🔥 News

• [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

Guanzhou Ke, Bo Wang, Xiaoli Wang, Shengfeng He, "Rethinking Multi-view Representation Learning via Distilled Disentangling ", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 2024.

Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, and Shengfeng He, "Disentangling Multi-view Representations Beyond Inductive Bias ", The 31st ACM International Conference on Multimedia (ACM MM 2023), 2023.

Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, and Yannan Xie, "CONAN: Contrastive Fusion Networks for Multi-view Clustering ", IEEE International Conference on Big Data (Big Data), 2021.