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Junpu Zhang

2 accepted papers

2024

Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering

Suyuan Liu, Siwei Wang, KE LIANG, Junpu Zhang, Zhibin Dong, Tianrui Liu +3
NeurIPS 2024poster

Incomplete multi-view clustering aims to learn complete correlations among samples by leveraging complementary information across multiple views for clustering. Anchor-based methods further establish sample-level similarities for representative anchor generation, effectively addressing scalability i…

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2024

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering

Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang +4
AAAI 2024technical

Incomplete multi-view clustering has attracted much attention due to its ability to handle partial multi-view data. Recently, similarity-based methods have been developed to explore the complete relationship among incomplete multi-view data. Although widely applied to partial scenarios, most of the…

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