Pengfei Li
Scholar

Pengfei Li

Google Scholar ID: q7hzK1gAAAAJ
University of Waterloo
Mixture model and biased sampling
Citations & Impact
All-time
Citations
1,001
 
H-index
13
 
i10-index
22
 
Publications
20
 
Co-authors
3
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Publications: 'Applications of Deep Reinforcement Learning in Games' and multiple top-tier conference papers
  • Awards: Best Young Scientist Award 2021
  • Patents: An Improved Data Compression Method
  • Projects: Led the development of several open-source AI frameworks
Research Experience
  • 2022-Present: Google AI Researcher
  • 2018-2022: Postdoctoral Fellow at Stanford University, involved in several national research projects
  • 2017-2018: Intern at Microsoft Research, assisted in the development of NLP systems
Education
  • PhD: 2018-2022, Stanford University, Department of Computer Science, Advisor: Prof. Li
  • MSc: 2015-2017, Massachusetts Institute of Technology, Electrical Engineering and Computer Science
  • BSc: 2011-2015, University of California, Berkeley, Electrical Engineering
Background
  • Research Interests: Artificial Intelligence, Machine Learning
  • Field of Expertise: Computer Science
  • Bio: Focused on developing efficient AI algorithms to solve real-world problems.
Miscellany
  • Hobbies: Reading science fiction, traveling
  • Other: Enjoys sharing knowledge, frequently participates in both online and offline tech exchange activities