Scholar
Xufeng Zhao
Google Scholar ID: sLwQ22MAAAAJ
University of Hamburg
Citations & Impact
Citations
287
H-index
8
i10-index
8
Publications
20
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published in 'Robotics and Autonomous Systems' journal, proposing an LLM-driven framework for robots to autonomously discover useful skills; presented at NeurIPS 2025 on joint design of protein surface and backbone using a diffusion bridge model; several preprints under review covering personalized reward modeling, curriculum alignment with reinforcement learning from AI feedback, etc.
Research Experience
- Finishing Ph.D. on embodied agents that explore, learn, and adapt autonomously, unifying reinforcement learning, world modeling, and large language models.
Education
- Ph.D. in Computer Science from the University of Hamburg, 2025, supervised by Prof. Stefan Wermter; M.Sc. in Signal Processing from the University of Chinese Academy of Sciences, 2018; B.E. in Electronic Information Engineering from Xidian University, 2014.
Background
- Research interests include Agentic Intelligence, Robotics/Embodied AI, Reinforcement Learning, and Machine Learning. Long-term goal is to deliver robust, trustworthy systems that assist people in complex real-world settings.
Miscellany
- Seeking postdoc/research roles in Agentic/Embodied AI & LLM.
