Scholar
Jingkang Wang
Google Scholar ID: c0BTYC4AAAAJ
University of Toronto
Citations & Impact
Citations
1,489
H-index
16
i10-index
22
Publications
20
Co-authors
26
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as NeurIPS, CVPR, and ECCV. Notable works include Flux4D (unsupervised 4D reconstruction), GenAssets (in-the-wild 360° asset reconstruction and generation), G3R (generalizable large reconstruction model for large scenes).
Research Experience
- Staff Tech Lead Manager at Waabi, leading the World Models and Digital Twins team; Research Scientist at Uber-ATG Toronto from 2019-2021.
Education
- Ph.D.: University of Toronto, supervised by Prof. Raquel Urtasun; B.S.: Shanghai Jiao Tong University, supervised by Prof. Cewu Lu and Prof. Gongshen Liu; Research intern at UIUC working with Prof. Bo Li on trustworthy ML.
Background
- A final-year Ph.D. candidate at the University of Toronto in the Machine Learning Group, Computer Science. His research aims to advance world modeling and simulation to enhance physical AI safety, with a focus on self-driving vehicles. He develops scalable and generalizable 4D world simulators.
Miscellany
- Commits one hour every week to provide guidance, suggestions, and/or mentorships for students from underrepresented groups or whoever is in need.
