PhD student, University of Chinese Academy of Sciences
1 paper at NeurIPS 2025
ProteinConformers is a novel large benchmark dataset enabling better evaluation of protein structure generators by capturing realistic conformational diversity and plausibility and proposing new assessment metrics.