Yilei Shi

Small, open-source LLMs can now outperform larger, closed-source models in complex industrial design tasks by learning to orchestrate CAD/CAE tools within a reinforcement learning framework.

Achieve state-of-the-art few-shot anomaly detection in medical imaging by dynamically weighting reference images based on their relevance to the query, enabling effective knowledge transfer from limited normal examples.

Achieve state-of-the-art image restoration across diverse image domains by adaptively composing task and domain prompts learned from multimodal LLMs.