Yaohui Li is a third-year PhD student in the School of Computer Science and Technology at Beijing Institute of Technology (BIT), advised by Xin Li. He received his master’s degree from the College of Mathematics and Information Science at Hebei University, where he was advised by Feng Zhang. He is visiting the BCML Lab from 2026 to 2027 as a visiting scholar at the School of Mathematical and Computer Sciences, Heriot-Watt University, hosted by Wei Pang.
His research interests lie in deep reinforcement learning, robot learning, and embodied intelligence, with a particular focus on sample-efficient representation learning and model-based control. He is also interested in integrating vision-language-action (VLA) models with reinforcement learning to develop generalizable robotic policies that connect multimodal perception with decision-making and action.
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