Meihua Dang
Scholar

Meihua Dang

Google Scholar ID: TiZrG7IAAAAJ
Student, Stanford University
Computer Science
Citations & Impact
All-time
Citations
688
 
H-index
9
 
i10-index
9
 
Publications
15
 
Co-authors
21
list available
Resume (English only)
Research Experience
  • No specific work experience or research project information.
Education
  • Ph.D. student at Stanford Computer Science, advised by Professor Stefano Ermon; M.S. from UCLA, advised by Professor Guy Van den Broeck.
Background
  • Research interests include probabilistic methods in machine learning and deep generative models. The goal is to design generative models that not only capture the uncertainty and structures of real-world data but also support efficient and reliable probabilistic reasoning.
Miscellany
  • Contact: mhdang@stanford.edu