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Mingcheng Li

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Factorize, Reconstruct, Enhance: A Unified Framework for Multimodal Sentiment Analysis

FUSE-Net is proposed, a Factorized and Unified Semantic Enhancement framework that decomposes each modality into shared, specific, and noise subspaces and applies contrastive learning, an information-gain constraint, and duality constraints for structured regularization to preserve task-relevant semantics during factorization.

Zhilu Yang, Mingcheng Li · 0 citations

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