Hui Fang's research spans data-centric AI across conversational recommendation and information retrieval, scientific text mining, and computer vision. Focus on few-shot learning, LLM distillation, and fairness/evaluation for building interpretable, domain-adapted tools in chemistry, materials, and biomedicine.