Wei Guo
Scholar

Wei Guo

Google Scholar ID: 0r_TzzkAAAAJ
ML PhD student, Georgia Institute of Technology
SamplingDiffusion ModelLarge Language ModelGenerative AIMachine Learning Theory
Citations & Impact
All-time
Citations
49
 
H-index
4
 
i10-index
2
 
Publications
5
 
Co-authors
9
list available
Resume (English only)
Background
  • Ph.D. student in Machine Learning at Georgia Institute of Technology since Fall 2023
  • Broad interests in statistics, probability, and machine learning
  • Current research focuses on theoretical analysis and practical design of sampling algorithms (e.g., Markov chain Monte Carlo, non-equilibrium, and learning-based neural samplers)
  • Applies stochastic analysis to optimal transport, stochastic optimal control, and statistical physics
  • In machine learning, specializes in generative modeling—particularly continuous/discrete diffusion and flow-based models—with applications in vision and language
Miscellany
  • Interests include languages (French, Chinese vernaculars, and minority languages in China), linguistics, and political science
  • Enthusiastic about China’s railway system, civil aviation, and architecture
  • Enjoys action video games such as The Last of Us, Assassin’s Creed, and the Metro series
  • Fan of LE SSERAFIM
  • Passionate traveler; recommended destinations include Hangzhou, Yangzhou, Datong, Macau, Washington, D.C., and hometown Ningbo