A research paper by Professor Wang Youqing's team from Beijing University of Chemical Technology has been accepted to the 34th ACM International Conference on Multimedia (ACM MM 2026). The paper introduces a novel framework called GLCMoE, designed to address challenges in deep multi-view clustering by improving cross-view semantic alignment and handling heterogeneity. The GLCMoE framework incorporates local and global mixture-of-experts modules along with dual contrastive learning to extract discriminative fused representations. AI
IMPACT This research contributes to advancements in multi-view clustering, potentially improving AI systems that process and analyze data from multiple perspectives.
RANK_REASON The cluster reports on a research paper accepted to a top-tier academic conference. [lever_c_demoted from research: ic=1 ai=1.0]
- ACM MM 2026
- Association for Computing Machinery
- Beijing Municipal Natural Science Foundation
- Beijing University of Chemical Technology
- GLCMoE
- Guo Jipeng
- National Natural Science Foundation of China
- Wang Youqing
- Xiao Bin
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