3 papers
stat.ME2025
MoDaH achieves rate optimal batch correction
Yang Cao, Zongming Ma
Batch effects pose a significant challenge in the analysis of single-cell omics data, introducing technical artifacts that confound biological signals. While various computational…
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…