Yuemeng Huang — accepted AI-conference papers

2026

Discretely-Refined Multi-view Clustering via Aligned Anchor Learning

Yuemeng Huang, Huibing Wang, Jinjia Peng, Lu Jiang, Qian Liu, Zetian Mi +1

ICML 2026poster

Anchor-based multi-view clustering has garnered wide attention for its ability to reduce the computational complexity of large-scale spectral clustering.However, existing methods mostly adopt a unidirectional optimization paradigm confined to sample-anchor bipartite graphs, treating the construction…

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2026

Dual-Calibration Multi-View Clustering via Compact Anchor Learning

Huibing Wang, Yuemeng Huang, Yawei Chen, Jiaxin Yang, Qian Liu, Jinjia Peng +2

ICML 2026poster

The anchor-based multi-view clustering method has received extensive attention due to its efficiency and scalability in large-scale data scenarios. Existing methods still face significant challenges in optimizing the quality of anchors. Current mainstream approaches typically rely on random sampling…

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