About

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Hi there! 👋 I'm Yutong Liang, a first-year graduate student in Computer Science and Engineering at the University of California San Diego, advised by Prof. Xiaolong Wang.

My research focuses on dexterous robotic manipulation. I study human-object interaction and learning-based control with the long-term goal of developing embodied agents that operate like humans. I believe human demonstrations and reinforcement learning in simulation offer a practical motion prior for high-dynamic, contact-rich robotic learning.

I completed my undergraduate studies at the School of Electronics Engineering and Computer Science, Peking University (2021-2025), where I majored in Computer Science and Technology.

During my undergraduate years, I was a research student at the Visual Computing and Learning Lab at Peking University (2023-2025), advised by Prof. Libin Liu, where I worked on character animation and physics simulation. Before that, I researched in the field of Data Structures and Network Measurement (2022-2023), advised by Prof. Tong Yang.

I served as a Teaching Assistant for the Introduction to AI course at Peking University in Spring 2025.

During summer 2024, I was a research intern at Stanford University, where I worked with Michelle Guo and Pei Xu in the TML Lab and SVL Lab, under the guidance of Prof. Karen Liu and Prof. Jiajun Wu.