Linzhan Mou

According to our database, Linzhan Mou authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control.

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

CoRR, March, 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

CoRR, February, 2026

2025

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 Autom. Lett., August, 2025

SARO: Space-Aware Robot System for Terrain Crossing via Vision-Language Model.

Shaoting Zhu, Derun Li, Linzhan Mou, Yong Liu, Ningyi Xu, Hang Zhao

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Robust Robot Walker: Learning Agile Locomotion over Tiny Traps.

Shaoting Zhu, Runhan Huang, Linzhan Mou, Hang Zhao

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

DIMO: Diverse 3D Motion Generation for Arbitrary Objects.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs.

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

CoRR, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Relightable and Animatable Neural Avatar from Sparse-View Video.

Zhen Xu, Sida Peng, Chen Geng, Linzhan Mou, Zihan Yan, Jiaming Sun, Hujun Bao, Xiaowei Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Compact Neural Volumetric Video Representations with Dynamic Codebooks.

Haoyu Guo, Sida Peng, Yunzhi Yan, Linzhan Mou, Yujun Shen, Hujun Bao, Xiaowei Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask.

Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023