1 citations · 1 across the 1 of their papers we have counts for
4 papers
Learning Disentangled Representations for Generalized Multi-view Clustering
Xin Zou, Ruimeng Liu, Chang Tang +4
Multi-View Clustering (MVC) has gained significant attention for its ability to leverage complementary information across diverse views. However, existing deep MVC methods often st…
Mask-informed Deep Contrastive Incomplete Multi-view Clustering
Zhenglai Li, Yuqi Shi, Xiao He +1
Multi-view clustering (MvC) utilizes information from multiple views to uncover the underlying structures of data. Despite significant advancements in MvC, mitigating the impact of…
Balanced Multi-view Clustering
Zhenglai Li, Jun Wang, Chang Tang +3
Multi-view clustering (MvC) aims to integrate information from different views to enhance the capability of the model in capturing the underlying data structures. The widely used j…
Hard Region Aware Network for Remote Sensing Change Detection
Zhenglai Li, Chang Tang, Xinwang Liu +4
Change detection (CD) is essential for various real-world applications, such as urban management and disaster assessment. Numerous CD methods have been proposed, and considerable r…