Publications and Projects

Recent advances in large language models (LLMs) have spurred growing interest in their application to molecular modeling and property prediction. However, existing molecular LLMs either rely solely on SMILES strings—thus ignoring rich at...

Safe reinforcement learning (Safe RL) aims to maximize rewards while satisfying cost constraints. Lagrangian-based methods are widely used to address safety concerns, but existing approaches, including PID and classical Lagrangian method...

Offline safe reinforcement learning (Safe RL) aims to learn an optimal policy from previously collected datasets that maximizes the expected reward while satisfying given cost constraints. Directly applying Safe RL in the offline setting...

In order to develop teenagers comprehensive abilities in intelligence, emotion, willpower, aesthetic ability, and achieve their all-round development, we are intending to develop an intelligent art education virtual platform based on lar...