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 aims to develop general-purpose physics agents that can comprehend the world and operate with human-level dexterity.

I believe the next leap in robot manipulation will come from world models that learn how the physical world evolves, human demonstrations that provide scalable motion priors, and reinforcement learning that closes the final gap to dynamic, contact-rich control.

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.