Beijing University of Chemical Technology paper on GLCMoE clustering accepted at ACM MM 2026
Overview
A paper from Professor Wang Youqing's team at Beijing University of Chemical Technology has been accepted to ACM MM 2026, the 34th ACM International Conference on Multimedia, according to a Leiphone report.
The paper, titled "Global-and-Local Collaborative Mixture-of-Experts with Dual Contrastive Learning for Deep Multi-view Clustering," proposes the GLCMoE framework. It is designed to handle cross-view heterogeneity and semantic alignment across views in deep multi-view clustering. The report describes ACM MM as a CCF-A conference.
Written by AI from the articles below · updated Oct 20, 1:47 PM ET
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- LeiphoneNewsBeijing University of Chemical Technology team's GLCMoE clustering paper accepted at ACM MM 2026
AIA paper from Professor Wang Youqing's team at Beijing University of Chemical Technology was accepted to ACM MM 2026, a CCF-A multimedia conference. The paper proposes GLCMoE, a global-and-local collaborative mixture-of-experts framework with dual contrastive learning for deep multi-view clustering, designed to handle cross-view heterogeneity and semantic alignment across views.
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