Wang Youqing’s Team Has a Paper Accepted to ACM MM 2026
王友清教授团队论文被ACM MM 2026录用｜ACM MM 2026
- Who
- Wang Youqing's team
- What
- had its research paper accepted Global-and-Local Collaborative Mixture-of-Experts with Dual Contrastive Learning for Deep Multi-view Clustering
- Quote
我院王友清教授团队研究论文《Global-and-Local Collaborative Mixture-of-Experts with Dual Contrastive Learning for Deep Multi-view Clustering》被成功录用。
What happened
A paper by Professor Wang Youqing’s team at Beijing University of Chemical Technology has been accepted to ACM MM 2026. The paper presents GLCMoE, a global-and-local collaborative mixture-of-experts framework for deep multi-view clustering, with local and global expert modules, dual contrastive learning, and a routing-balance regularizer. Wang is the first author; Associate Professor Guo Jipeng is the corresponding author.
The story so far
Professor Wang Youqing’s team at Beijing University of Chemical Technology has had its paper on deep multi-view clustering accepted to ACM MM 2026. Wang is the first author, and Associate Professor Guo Jipeng is the corresponding author. The paper, “Global-and-Local Collaborative Mixture-of-Experts with Dual Contrastive Learning for Deep Multi-view Clustering,” introduces GLCMoE, a framework combining local and global expert modules, dual contrastive learning, and a routing-balance regularizer.
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