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Yutong Liang

Yutong Liang

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Hi there! 👋 I'm Yutong Liang, a 4th-year undergraduate student at the School of EECS , Peking University, majoring in Computer Science.

I have a vision of creating generalist agents that can do what we humans can do. I'm particularly interested in endowing them with human-level dexterity to master contact-rich human-object interaction (HOI) and in-hand manipulation tasks.

I explored these interests in character animation as a research student in the VCL Lab at Peking University from Fall 2023 to Summer 2025, where I was advised by Prof. Libin Liu.

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.

Previously, I researched in the field of Data Structures in Network Measurement in Spring 2023, supervised by Prof. Tong Yang.

Selected Projects

For more projects, please visit this page !

ROBOVERSE: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
ROBOVERSE: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

Author List

Haoran Geng*, Feishi Wang*, Songlin Wei*, Yulong Li*, Bangjun Wang*, Boshi An*, Charlie Tianyue Cheng*, Haozhe Lou, Peihao Li, Yen-Jen Wang, Yutong Liang, Dylan Goetting, Chaoyi Xu, Haozhe Chen, Yuxi Qian, Yiran Geng, Jiageng Mao, Weikang Wan, Mingtong Zhang, Jiangran Lyu, Siheng Zhao, Jiazhao Zhang, Jialiang Zhang, Chengyang Zhao, Haoran Lu, Yufei Ding, Ran Gong, Yuran Wang, Yuxuan Kuang, Ruihai Wu, Baoxiong Jia, Carlo Sferrazza, Hao Dong, Siyuan Huang, Koushil Sreenath, Yue Wang†, Jitendra Malik†, Pieter Abbeel†

RoboVerse is a unified simulation platform for robot learning that integrates multiple simulators, provides high-quality synthetic datasets, and establishes standardized benchmarks. The platform features MetaSim - a universal interface that abstracts different simulation environments, enabling seamless transitions between simulators. It includes photorealistic datasets with high-fidelity physics and comprehensive benchmarks for imitation learning and reinforcement learning across various generalization levels.

Robotics: Science and Systems (RSS) • 2025

SimiSketch: A Sketching Algorithm for Similarity Estimation
SimiSketch: A Sketching Algorithm for Similarity Estimation


Fenghao Dong, Yutong Liang*, Yang He*, Zirui Liu, Yuhan Wu, Peiqing Chen, and Tong Yang

SimiSketch is a fast sketching algorithm for estimating similarity between sets. It achieves up to 42 times better accuracy and 360 times higher throughput compared to existing methods, making it suitable for large-scale applications like network traffic analysis and text processing.

arXiv preprint 2405.19711 • 2024

PKU Treehole Starred Saver
PKU Treehole Starred Saver

Save your starred posts in Peking University Treehole.

Education

Awards

Skills and Tools

Personal Interests

  • I am an avid speedcuber and currently hold the Peking University record for Pyraminx single (valid through June 2025).

    Personal bests: 3×3 in 9.47s (Los Angeles 2024) and Pyraminx in 2.36s (Sacramento 2024). More on my WCA profile.

    New to speedcubing? A concise intro video is here. I also write occasional posts on this topic.

  • I enjoy recreational tennis and play regularly for fitness and fun.

Favorite TV Series & Books

I particularly enjoy Doctor Who for its blend of imagination and human stories. I have followed the series for about a decade (since the Peter Capaldi era), and it still inspires me. Related posts:

I also frequently revisit the Harry Potter series—it was my go‑to long before I discovered Doctor Who.

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