About Me

Bio

My name is Guanzhou Ke (柯冠舟), and I am a first-year Ph.D. candidate in the School of Economic Management at Beijing Jiaotong University. I’m currently working on multi-view representation learning, especially incomplete view scenario. I’m focusing on designing the new fusion method to improve the expressive power of multi-view representation. In addition, I’m also looking for multi-view or multi-modal internship opportunities.

News

(TBD)

Selected Publications

  • **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.

  • **Guanzhou Ke**, Yongqi Zhu, and Yang Yu, "MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion ", ICDM workshop, 2022.