MS student, SUN YAT-SEN UNIVERSITY
2 papers at NeurIPS 2025
We present H3-DDG, a model that predicts binding free energy changes by modeling higher-order many-body interactions, achieving state-of-the-art performance in protein mutational effect prediction.
We present GLARE, a reinforced active learning framework that improves virtual screening efficiency by dynamically optimizing molecular selection while balancing chemical diversity, biological relevance, and computational constraints.