Ze Yang
Scholar

Ze Yang

Google Scholar ID: lPh8l7QAAAAJ
University of Toronto
Computer VisionAutonomous DrivingMachine Learning
Citations & Impact
All-time
Citations
3,136
 
H-index
15
 
i10-index
15
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Papers published: GenAssets (CVPR 2025), Neural Sensor Calibration and Generalizable Reconstruction (ECCV 2024), 4D World Model for Self-Driving (ICLR 2024), LightSim (NeurIPS 2023), NeuRas (ICCV 2023), LiDAR-DG (ICCV 2023), UniSim (CVPR 2023), NeuSim (ICRA 2023), CADSim (CoRL 2022), RBGNet (CVPR 2022), S3 (CVPR 2021), LiME (CoRL 2020), Dense RepPoints (ECCV 2020), RepPoints (ICCV 2019).
Research Experience
  • Staff Research Scientist and Tech Lead at Waabi, focusing on self-driving technology; Former Research Scientist at Uber ATG; Interned at Microsoft Research Asia, working on visual perception.
Education
  • Ph.D. candidate at the University of Toronto, advised by Prof. Raquel Urtasun; Master's Degree in Computer Science from Peking University, advised by Prof. Liwei Wang.
Background
  • Research interests include 3D computer vision, robotics, and machine learning. Focused on building scalable world modeling and simulation systems to facilitate the safe, controlled, and cost-effective development of autonomous systems.
Miscellany
  • Personal interests not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)