most citedMultimodal data integration and cross-modal querying via orchestrated approximate message passing

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stat.ML2025

IndiSeek learns information-guided disentangled representations

Yu Gui, Cong Ma, Zongming Ma

Learning disentangled representations is a fundamental task in multi-modal learning. In modern applications such as single-cell multi-omics, both shared and modality-specific featu…

stat.ML2025

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

Yu Gui, Cong Ma, Zongming Ma

Multi-modal contrastive learning as a self-supervised representation learning technique has achieved great success in foundation model training, such as CLIP~\citep{radford2021lear…