Xuxin Zhao

Uncertainty-Guided Adaptive Local Adversarial Perturbation for Reliable Molecular Property Prediction

Molecular property prediction is a fundamental task with wide-ranging applications in chemistry, materials science, and drug discovery. Beyond predictive accuracy, the reliability of model predictions, particularly their uncertainty awareness, is critical for high-stakes downstream applications. How