Yongjie Xu

This study evaluates seven single-cell foundation models across five tasks, finding varying performance depending on the downstream task and highlighting task-specific strengths.

This paper introduces CoupleNet, a model that integrates protein sequence and structure to improve representation learning, achieving better performance in fold classification and function prediction.

This paper introduces a visualization method for scRNA-seq data that preserves data structure and corrects batch effects, showing its effectiveness across multiple datasets.