Jiadong Liu

A unified deep generative framework for surrogate-guided molecular discovery across diverse molecular spaces.

A high-accuracy surrogate predictor based on message-passing neural networks is decoupled from heterogeneous generators, and integrated into a closed-loop strategy of generate, score, select, and regenerate to progressively enrich high-performing candidates without modifying the underlying model architectures.