Publications
2024
Rethinking Multi-view Representation Learning via Distilled Disentangling Guanzhou Ke, Bo Wang, Xiaoli Wang, and Shengfeng He IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 -- CCF A -- [PDF] [CODE] 2023
Knowledge distillation-driven semi-supervised multi-view classification Xiaoli Wang, Yongli Wang, Guanzhou Ke, Yupeng Wang, and Xiaobin Hong Information Fusion -- SCI Q1 -- [PDF] [CODE] 
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Yongqi Zhu, and Yang Yu IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) -- CCF B -- [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) -- CCF A -- [PDF] [CODE] 2022 or Early
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion Guanzhou Ke, Yongqi Zhu, and Yang Yu ICDM workshop -- CCF B -- [PDF] [CODE] 
Efficient Multi-view Clustering Networks Guanzhou Ke, Zhiyong Hong, Wenhua Yu, Xin Zhang, and Zeyi Liu Applied Intelligence Springer -- CCF C -- [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) -- CCF C -- [PDF] [CODE] 