Yixiong Jing
Scholar

Yixiong Jing

Google Scholar ID: g7NWlqcAAAAJ
University of Cambridge
Point cloudDeep learningGenerative modelsStructural Health monitoring
Citations & Impact
All-time
Citations
101
 
H-index
4
 
i10-index
3
 
Publications
8
 
Co-authors
5
list available
Resume (English only)
Research Experience
  • Serves as a Postdoctoral Research Associate at the University of Cambridge, focusing on the intersection of 3D computer vision and robotics, particularly advancing 3D reconstruction methods such as NeRF, 3DGS, and integrating generative models (like diffusion models, score-based approaches, flow-matching methods, and Schrodinger Bridge) into robotic manipulation systems.
Education
  • Postdoctoral Research Associate at the Department of Engineering, University of Cambridge
Background
  • Research interests include 3D reconstruction, generative models, physical reasoning using 3D GS, and robotics. The goal is to build generalizable robots that can adapt flexibly to diverse and dynamic scenes.