most citedA Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective

23 citations · 27 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

Zichen Wen, Yawen Ling, Yazhou Ren +5

Recently there is a growing focus on graph data, and multi-view graph clustering has become a popular area of research interest. Most of the existing methods are only applicable to…

cs.LG202323 cited

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective

Chenhang Cui, Yazhou Ren, Jingyu Pu +5

Multi-view clustering (MVC) is a popular technique for improving clustering performance using various data sources. However, existing methods primarily focus on acquiring consisten…

cs.LG2023

Federated Deep Multi-View Clustering with Global Self-Supervision

Xinyue Chen, Jie Xu, Yazhou Ren +5

Federated multi-view clustering has the potential to learn a global clustering model from data distributed across multiple devices. In this setting, label information is unknown an…

cs.LG20232 cited

Deep Multi-View Subspace Clustering with Anchor Graph

Chenhang Cui, Yazhou Ren, Jingyu Pu +2

Deep multi-view subspace clustering (DMVSC) has recently attracted increasing attention due to its promising performance. However, existing DMVSC methods still have two issues: (1)…

cs.CV2023

Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition

Zhenqian Wu, Xiaoyuan Li, Yazhou Ren +3

The accuracy of facial expression recognition is typically affected by the following factors: high similarities across different expressions, disturbing factors, and micro-facial m…

eess.IV20232 cited

Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey

Song Wu, Yazhou Ren, Aodi Yang +5

COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak, impacting financial markets and healthcare systems globally. Countries all around the world have…