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Jianzhuang Liu

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#artificial intelligence Preprint Oct 2026

HRIL: Learning Multimodal Synergy via Higher-Order Tensor Modeling

Self-supervised multimodal representation learning has achieved remarkable success across diverse domains, yet capturing synergistic information remains challenging due to the complexity of cross-modal interactions. Unlike the shared information across individual modalities, synergy arises when task-relevant signals em...

Qun Dai, Liang-Jian Wen, Jiang Duan et al. · 0 citations
#machine learning Review Sep 2026

Dependency, Compression, and Synergy: A Unified Information-Theoretic View of Multimodal Learning

This survey presents an information-theoretic perspective connecting Mutual Information, the Information Bottleneck, and Partial Information Decomposition as progressively refined views of multimodal information processing, and discusses how emerging multimodal foundation models instantiate these principles at scale.

Liang-Jian Wen, Lin Li, Jiang Duan et al. · 2 citations

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