112 citations · 272 across the 15 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.LG2026
Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy
Mudi Jiang, Jiahui Zhou, Xinying Liu +2
Multi-view clustering (MVC) aims to uncover latent cluster structures by exploiting complementary information from multiple views. Despite substantial progress in clustering perfor…
cs.LG2026
Clusterability-Based Assessment of Potentially Noisy Views for Multi-View Clustering
Mudi Jiang, Jiahui Zhou, Xinying Liu +2
In multi-view clustering, the quality of different views may vary substantially, and low-quality or degraded views can impair overall clustering performance. However, existing stud…
cs.LG2026
Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering
Mingdong Lu, Zhikui Chen, Meng Liu +2
Unsupervised multi-view clustering (MVC) aims to partition data into meaningful groups by leveraging complementary information from multiple views without labels, yet a central cha…