Scholar
Ge Yan
Google Scholar ID: ma7qW2kAAAAJ
University of Washington
Citations & Impact
Citations
1,398
H-index
6
i10-index
5
Publications
7
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training, CoRL 2025
- 2. Humanoid Policy ~ Human Policy, CoRL 2025
- 3. DNAct: Diffusion Guided Multi-Task 3D Policy Learning, IROS 2025 (Oral)
- 4. LMM-3DP: Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation, ICCV 2025 (Oral)
- 5. Open X-Embodiment: Robotic Learning Datasets and RT-X Models, ICRA 2024 (Best Paper Award)
- 6. GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields, CoRL 2023 (Oral)
- 7. DMRA: Depth-induced Multi-scale Recurrent Attention Network for RGB-D Saliency Detection, TIP 2022
Research Experience
- Currently part-time with the Large Behavior Models (LBM) team at Toyota Research Institute (TRI).
Education
- 1. University of Washington, CS PhD student, advised by Prof. Dieter Fox (in progress)
- 2. UC San Diego, MS, advised by Prof. Xiaolong Wang
Background
- Research interest: building generally capable robots with scalable intelligence. Currently focused on general-purpose robot foundation models for open-world dexterous manipulation.
Miscellany
- Personal interests and hobbies expressed through a quote from Xu Zhimo's poem 'By Chance'.
Co-authors