Pan Liu

I am an AI Research Scientist specializing in developing cutting-edge algorithms and models to advance AI system capabilities. At Intel, I have led multiple research projects focused on developing multimodal LLMs that integrate language, vision, and physics, enabling richer understanding and interaction with the world. My work also includes optimizing training recipes to improve LLM performance and inference efficiency.

Prior to this, I received my PhD from Penn State, where I was advised by Prof. Bo Cheng. My dissertation work was at the intersection of robot learning and agile locomotion. During my graduate studies, I was fortunate to intern at Intel Labs and MathWorks.

I’ve had the privilege of collaborating with some of the most talented researchers and engineers, including Vladlen Koltun, German Ros, and Alan Fern, and I am always grateful for that experience.

Projects

Recent projects in LLM, multimodal model and robotics.

Multimodal model for motion generateion

Train and delploy billion-parameter level language-motion multimodal models that generate realistic 3D human motions from text.

Publications

(* equal contribution)