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.

[arXiv] [website] [code]

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.

[arXiv] [website] [code]

Equilibrium Energy Control for Introspective Lifelong Robot Learning

Haodong Yang*, Runhan Huang*, Bowen Zhang*, Iofai Lei*, Zunzhe Zhang, Xiangcheng Zhang, Shaoting Zhu, Linzhan Mou, Yicheng Liu, Hang Zhao

Conference on Robot Learning (CoRL) Workshop CSIR, 2026. (Spotlight)

[arXiv] [website]

Time Unconditional Flow Matching for Adaptive and Robust Robotic Control

Zunzhe Zhang*, Runhan Huang*, Yicheng Liu, Shaoting Zhu, Linzhan Mou, Hang Zhao

Conference on Neural Information Processing Systems (NeurIPS), 2026.

[arXiv] [website]

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)

[arXiv] [website] [code]

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.

[arXiv] [website] [code]

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.

[arXiv] [website] [code]

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)

[arXiv] [website] [code]

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.

[arXiv] [website] [code]

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.

[arXiv] [website] [code]