305 citations · 1k across the 30 of their papers we have counts for
6 papers · 1 filter
Multilayer Graph Contrastive Clustering Network
Liang Liu, Zhao Kang, Ling Tian +2
Multilayer graph has garnered plenty of research attention in many areas due to their high utility in modeling interdependent systems. However, clustering of multilayer graph, whic…
Multi-view Contrastive Graph Clustering
Erlin Pan, Zhao Kang
With the explosive growth of information technology, multi-view graph data have become increasingly prevalent and valuable. Most existing multi-view clustering techniques either fo…
Self-paced Principal Component Analysis
Zhao Kang, Hongfei Liu, Jiangxin Li +2
Principal Component Analysis (PCA) has been widely used for dimensionality reduction and feature extraction. Robust PCA (RPCA), under different robust distance metrics, such as l1-…
Smoothed Multi-View Subspace Clustering
Peng Chen, Liang Liu, Zhengrui Ma +1
In recent years, multi-view subspace clustering has achieved impressive performance due to the exploitation of complementary imformation across multiple views. However, multi-view…
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering
Zhengrui Ma, Zhao Kang, Guangchun Luo +1
Finding a suitable data representation for a specific task has been shown to be crucial in many applications. The success of subspace clustering depends on the assumption that the…
Pseudo-supervised Deep Subspace Clustering
Juncheng Lv, Zhao Kang, Xiao Lu +1
Auto-Encoder (AE)-based deep subspace clustering (DSC) methods have achieved impressive performance due to the powerful representation extracted using deep neural networks while pr…