119 citations · 198 across the 5 of their papers we have counts for
5 papers
Disentangling Multi-view Representations Beyond Inductive Bias
Guanzhou Ke, Yang Yu, Guoqing Chao +3
Multi-view (or -modality) representation learning aims to understand the relationships between different view representations. Existing methods disentangle multi-view representatio…
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning
Guanzhou Ke, Guoqing Chao, Xiaoli Wang +3
The past two decades have seen increasingly rapid advances in the field of multi-view representation learning due to it extracting useful information from diverse domains to facili…
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk
Guoqing Chao, Chengsheng Mao, Fei Wang +2
ICU mortality risk prediction is a tough yet important task. On one hand, due to the complex temporal data collected, it is difficult to identify the effective features and interpr…
Multi-View Sparse Vector Decomposition to Deal With Missing Values in Alcohol Dependence Study
Guoqing Chao
Due to the heterogeneity of the phenotype defined by Diagnostic and Statistical Manual of Mental Disorders (DSM) IV, it is not an optimal option to identify the genetic variation t…
A Survey on Multi-View Clustering
Guoqing Chao, Shiliang Sun, Jinbo Bi
With advances in information acquisition technologies, multi-view data become ubiquitous. Multi-view learning has thus become more and more popular in machine learning and data min…