Carson K. Leung

Toward Imbalanced Molecular Property Regression: A Benchmark Study and Interval-Aware Mixture of Experts

Molecular property prediction is a key task in AI-driven drug discovery, yet the prevalence and impact of label imbalances in molecular property regression remain poorly understood. Through a systematic benchmark of widely used molecular property data sets, we show that target values are often highly imbalanced and tha...