Incomplete multi-view clustering (IMVC) aims to exploit complementary information from multiple views with missing observations. Recent diffusion-based approaches have shown promise for view completion; however, they often fail to capture instance-aligned global correlations across views and suffer from inefficient inf...
Wei-Qing Yan, Yong-Teng Du, Peng Song et al.· Proceedings of the Thirty-Fi...· 0 citations
Multiview data often suffers from missing views, posing significant challenges for incomplete multiview clustering (IMVC). Existing methods typically perform explicit similarity feature-level imputation using observed views, yet they often fail to capture the shared latent distribution across different views, particula...
Wei-Qing Yan, Kang-Long Liu, Chang Tang et al.· IEEE Transactions on Neural...· 0 citations
Spatially resolved transcriptomics integrates gene expression with spatial coordinates to decode tissue microenvironments. Existing methods predominantly utilize graph structures to model relationships between spots. However, their performance is bottlenecked by the reliability of gene feature graph, facing the followi...
Huan-Jia Zhao, Shang-Hui Deng, Shunfanyi Li et al.· Proceedings of the Thirty-Fi...· 0 citations
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