Ke Li
Scholar

Ke Li

Google Scholar ID: vQc8tI4AAAAJ
Simon Fraser University
Machine LearningComputer VisionAlgorithms
Citations & Impact
All-time
Citations
2,499
 
H-index
19
 
i10-index
23
 
Publications
20
 
Co-authors
47
list available
Resume (English only)
Academic Achievements
  • Published several papers, including RS-IMLE, Adaptive IMLE, Implicit Maximum Likelihood Estimation, etc. Research focuses on generative modeling and neural rendering.
Research Experience
  • Worked at Google and the IAS, organized the IAS Seminar Series on Theoretical Machine Learning with Sanjeev Arora.
Education
  • Ph.D. from UC Berkeley, advised by Jitendra Malik; B.S. in Computer Science from the University of Toronto
Background
  • Currently an Assistant Professor at Simon Fraser University, with research interests in machine learning, computer vision, and algorithms. Previously worked at Google and the Institute for Advanced Study (IAS) in Princeton, and received a Ph.D. from UC Berkeley.
Miscellany
  • Can be reached via email at keli [at] sfu [dot] ca. Interested in taking on new MSc/PhD students, applicants are required to fill out a form.