Scholar
Hongzhan Yu
Google Scholar ID: 9VWRccEAAAAJ
PhD Student
Citations & Impact
Citations
86
H-index
4
i10-index
3
Publications
13
Co-authors
0
Contact
Publications
Resume
Background
- Ph.D. student in Computer Science and Engineering at University of California, San Diego (UCSD)
- Research focus: Developing safe and resilient learning-based control strategies for robotic systems
- Integrates data-driven function approximators (e.g., deep neural networks) with formal control-theoretic tools to provide provable stability and safety guarantees
- Investigates versatile robotic controllers based on diffusion models, flow-matching paradigms, and large-scale foundation models for broad task generalization and rapid adaptation
- Long-term goal: Engineering autonomous systems that combine strong theoretical reliability with aggressive performance optimization for trustworthy, high-efficiency real-world automation