Linzhan Mou

linzhan@princeton.edu Google Scholar GitHub Twitter LinkedIn Download PDF

Education

Princeton University Princeton, NJ
Ph.D. in Computer Science  ·  Advisor: Prof. Szymon Rusinkiewicz Aug. 2025 – Present
Zhejiang University Hangzhou, China
B.Eng. in Robotics (Chu Kochen Honors College)  ·  GPA: 3.99/4.0  ·  Rank: 1/121 June 2025

Internship

Meta Research
Research Scientist Intern May 2026 – Aug. 2026
  • Project: Video-action pretraining on egocentric videos for generalizable robot policy.

Publications

UniMate: One Unified Model to Animate Diverse Skeletons

Linzhan Mou, Jiahui Lei, Zhiyang Dou, Chenyue Cai, Chaoyue Song, Adam Finkelstein, Szymon Rusinkiewicz

Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH) Asia, 2026.

TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour

Shaoting Zhu*, Baijun Ye*, Jiaxuan Wang, Jiakang Chen, Ziwen Zhuang, Linzhan Mou, Runhan Huang, Hang Zhao

Conference on Robot Learning (CoRL), 2026.

DIMO: Diverse 3D Motion Generation for Arbitrary Objects

Linzhan Mou, Jiahui Lei, Chen Wang, Lingjie Liu, Kostas Daniilidis

International Conference on Computer Vision (ICCV), 2025. (Highlight)

VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion

Shaoting Zhu*, Linzhan Mou*, Derun Li, Baijun Ye, Runhan Huang, Hang Zhao

IEEE Robotics and Automation Letters (RA-L), 2025.

Robust Robot Walker: Learning Agile Locomotion over Tiny Traps

Shaoting Zhu, Runhan Huang, Linzhan Mou, Hang Zhao

IEEE International Conference on Robotics and Automation (ICRA), 2025.

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Haokun Lin*, Haobo Xu*, Yichen Wu*, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei

Conference on Neural Information Processing Systems (NeurIPS), 2024. (Oral)

Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction

Linzhan Mou*, Yili Liu*, Xuan Yu, Chenrui Han, Sitong Mao, Rong Xiong, Yue Wang

Conference on Robot Learning (CoRL), 2024.

Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion

Linzhan Mou*, Jun-Kun Chen*, Yu-Xiong Wang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Experience

Princeton ImageX Lab (PIXL), Princeton University Princeton, NJ
Graduate Research Assistant  ·  Advisors: Prof. Szymon Rusinkiewicz & Prof. Adam Finkelstein Dec. 2025 – May 2026
  • Project: One topology-aware diffusion transformer animating arbitrary skeletons from text in real time (SIGGRAPH Asia 2026).
GRASP Laboratory, University of Pennsylvania Philadelphia, PA
Research Intern  ·  Advisors: Prof. Kostas Daniilidis & Prof. Lingjie Liu Aug. 2024 – Mar. 2025
  • Project: Diverse 3D motion generation by distilling video diffusion priors into a compact latent space (ICCV 2025 Highlight).
MARS Lab, Tsinghua University Beijing, China
Undergraduate Research Assistant  ·  Advisor: Prof. Hang Zhao Dec. 2023 – Jan. 2025
  • Project: Real-to-sim-to-real reinforcement learning for perceptive robot locomotion (RA-L 2025, ICRA 2025 & CoRL 2026).

Talks

  • A Generalist Model for Animation and Robot Motion Control, Princeton PIXL Seminar Lunch Series [slides]

Honors and Awards

  • Princeton Graduate Fellowship, Princeton University 2025
  • National Scholarship (Top 0.2% nationwide) 2023

Professional Service

  • Reviewer: CVPR, ICCV, ECCV, NeurIPS, NeurIPS D&B Track, ICLR, COLM, SIGGRAPH (Asia), Eurographics, RA-L, ICRA, TVCG
  • Teaching: Teaching Assistant, COS 126, Princeton University (Fall 2026); lead of the agentic code review team