Zheming Xu — accepted AI-conference papers

2026

Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering

Zheming Xu, Aiyue Tang, Shidi Chen, Xuechao Zou, Congyan Lang, Rogelio A. Mancisidor +1

ICML 2026poster

Incomplete multi-view clustering (IMVC) aims to uncover shared cluster structures from data with partially observed views. Although recent imputation-free methods based on variational inference demonstrate robustness to missing views, they commonly rely on a conditional independence assumption acros…

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2025

A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering

Zheming Xu, He Liu, Congyan Lang, Tao Wang, Yidong Li, Michael C. Kampffmeyer

CVPR 2025poster

Recent graph-based multi-view clustering (GMVC) methods typically encode view features into high-dimensional spaces and construct graphs based on distance similarity. However, the high dimensionality of the embeddings often leads to the hubness problem, where a few points repeatedly appear in the ne…

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