1 code implementation • 14 Dec 2023 • Guoqing Chao, Yi Jiang, Dianhui Chu
In this work, we proposed a novel Incomplete Contrastive Multi-View Clustering method with high-confidence guiding (ICMVC).
1 code implementation • 3 Aug 2023 • Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Shengfeng He
In this paper, we propose a novel multi-view representation disentangling method that aims to go beyond inductive biases, ensuring both interpretability and generalizability of the resulting representations.
1 code implementation • 28 Dec 2022 • Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Yongqi Zhu, Yang Yu
To this end, we utilize a deep fusion network to fuse view-specific representations into the view-common representation, extracting high-level semantics for obtaining robust representation.
no code implementations • 27 Sep 2018 • Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
We used the simulation data to verify the effectiveness of this method, and then we applied it to ICU mortality risk prediction and demonstrated its superiority over other conventional supervised NMF methods.
no code implementations • 18 Dec 2017 • Guoqing Chao, Shiliang Sun, Jinbo Bi
With advances in information acquisition technologies, multi-view data become ubiquitous.