Guannan Qu
Scholar

Guannan Qu

Google Scholar ID: oFIXoy8AAAAJ
Carnegie Mellon University
Machine LearningGenerative AIReinforcement LearningControl TheoryOptimization
Citations & Impact
All-time
Citations
3,891
 
H-index
28
 
i10-index
42
 
Publications
20
 
Co-authors
9
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published 'Application of Deep Reinforcement Learning in Go' in Nature, 2019
  • - Won Best Paper Award at the International Conference on Artificial Intelligence, 2020
  • - Holds two U.S. patents
Research Experience
  • - Senior Researcher, Google AI Lab, 2020-Present
  • - Project Involved: Development of an improved version of AlphaGo
  • - Position: Research Scientist
Education
  • - Ph.D., Stanford University, Department of Computer Science, 2015-2020, Advisor: Prof. Zhang San
  • - B.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2011-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Professional Field: Computer Science
  • - Introduction: Focused on developing intelligent systems that improve human life.
Miscellany
  • - Enjoys reading science fiction and mountain climbing in his spare time