Scholar
Lei Li
Google Scholar ID: uzh8LlIAAAAJ
University of Virginia
Citations & Impact
Citations
912
H-index
11
i10-index
12
Publications
19
Co-authors
31
list available
Publications
Resume (English only)
Academic Achievements
- His work 'PUFM: Efficient Point Cloud Upsampling via Flow Matching' has been accepted by AAAI 26; 'DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching' has been accepted by ICCV 2025.
Research Experience
- Before joining UVA, he was a postdoctoral researcher at the Technical University of Munich, working with Prof. Angela Dai, and at École Polytechnique / Inria, collaborating with Prof. Maks Ovsjanikov.
Education
- He received his BEng in Software Engineering (2014) from Shandong University and his PhD in Computer Science and Engineering (2020) from the Hong Kong University of Science and Technology, under the supervision of Prof. Chiew-Lan Tai.
Background
- Lei Li is a tenure-track Assistant Professor of Data Science at the University of Virginia. His research interests lie in computer vision and computer graphics, focusing on advancing machine spatial intelligence to perceive, understand, and interact with the 3D world.
Miscellany
- The Spatial AI Lab (SAIL) is always looking for highly motivated PhD students and postdocs to work on impactful research at the intersection of computer vision, computer graphics, and artificial intelligence.
