Hunan Normal University

A cross-modal transfer-learning model that adapts the ESM-2 650M protein language model to mRNA analysis by swapping amino-acid tokens for codon tokens, applied to mRNA benchmarks without re-training.

A foundational model for universal ultrasound image segmentation that adapts the Segment Anything Model to handle eight anatomical regions in a single network.

Self-attention and densely connected convolutional model for predicting gene expression from histone modifications, with transfer learning for cross-cell-line generalization across 56 REMC cell types.