Fangxi Liu — accepted AI-conference papers

2026

A Consensus Anchor-guided Hypergraph Framework For Incomplete Multi-view Clustering

Yipin Hu, Yanxi Liu, Fangxi Liu, Yanwei Yu, Lei Meng, Jie Wen +1

ICML 2026poster

Handling large-scale incomplete multi-view data poses a significant challenge in unsupervised representation learning. While anchor-based strategies have alleviated computational burdens, they typically rely on shallow bipartite graphs restricted to pairwise relations, failing to capture complex hig…

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2026

Dual-stage Contrastive Learning-enhanced Multi-view Variational Clustering

Yanxi Liu, Fangxi Liu, Yipin Hu, Yanwei Yu, Lei Meng, Yongyong Chen +1

ICML 2026poster

Multi-view clustering aims to obtain a consensus clustering by integrating complementary and consistent information from multiple views. However, two critical challenges still exist in variational methods: (1) view heterogeneity and noise often make fusion unreliable; (2) ambiguous posteriors and mi…

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