Scholar
Haoqi Yuan
Google Scholar ID: QD_ynSgAAAAJ
Peking University
Machine Learning
Reinforcement Learning
Embodied AI
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Citations & Impact
All-time
Citations
331
H-index
7
i10-index
7
Publications
17
Co-authors
9
list available
Contact
Email
yhq@pku.edu.cn
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Publications
21 items
Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation
2026
Cited
0
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
2026
Cited
0
Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System
2026
Cited
0
Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
2026
Cited
0
RealDexUMI: A Wearable Universal Manipulation Interface for Dexterous Robot Learning
2026
Cited
0
Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
2026
Cited
0
X-DiffVLA: X-Embodied Diffusion Action Heads for Vision-Language-Action Models
2026
Cited
0
Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting
2026
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0
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Resume (English only)
Academic Achievements
- Published Papers:
- DemoGrasp: Universal Dexterous Grasping from a Single Demonstration
- Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
- Cross-Embodiment Dexterous Grasping with Reinforcement Learning
- Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
- Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
Research Experience
- Position: Fifth-year Ph.D. student at Peking University
- Research Projects: Dexterous grasping, humanoid robotic control, etc.
Education
- Degree: Ph.D. student
- University: Peking University
- Advisor: Prof. Zongqing Lu
- Time: 2021 to present
- Bachelor's degree: Turing Class, Peking University
Background
- Research Interests: reinforcement learning (RL) and embodied AI
- Current Focus: Scalable learning methods for dexterous hands and humanoid robots manipulation; Efficient RL for open-world, embodied agents
Miscellany
Personal interests and other information not provided
Co-authors
9 total
Zongqing Lu
Peking University | BeingBeyond
Hao Dong
Tenured Associate Professor at Peking University
Shaoteng Liu
Adobe Research, CUHK
Börje F. Karlsson
Beijing Academy of Artificial Intelligence (BAAI)
Zihan Ding
Princeton University
Co-author 6
Yihao Zhao
Peking University
Baoquan Chen
Peking University, IEEE Fellow