Yu Xiang
Scholar

Yu Xiang

Google Scholar ID: 9cZUlEYAAAAJ
Assistant Professor, University of Texas at Dallas
RoboticsComputer VisionMachine Learning
Citations & Impact
All-time
Citations
10,846
 
H-index
32
 
i10-index
50
 
Publications
20
 
Co-authors
96
list available
Resume (English only)
Background
  • Assistant Professor in the Department of Computer Science at the University of Texas at Dallas
  • Research interests primarily focus on robotics and computer vision
  • Studies how intelligent systems or robots can understand their 3D environment through sensing and accomplish real-world tasks
  • Aims to systematically integrate perception, planning, and control for deploying task-capable robots in human environments
  • Applies machine learning, especially deep learning, to address challenges in robot perception
  • Explores incorporating domain knowledge (e.g., geometric constraints) into deep neural networks for effective 3D representation learning
  • Investigates joint representations for perception, planning, and control, and self-supervised skill acquisition through environment interaction