Victor S. Sheng
Scholar

Victor S. Sheng

Google Scholar ID: 0epc43IAAAAJ
Professor of Computer Science, Texas Tech University
crowdsourcingdata sciencemachine learningdeep learning
Citations & Impact
All-time
Citations
10,716
 
H-index
52
 
i10-index
172
 
Publications
20
 
Co-authors
11
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published several top conference papers including ICML, NeurIPS, etc.
  • - Recipient of the Best Doctoral Dissertation Award in 2019
  • - Holds two US patents related to applications of deep learning technology
Research Experience
  • - Postdoctoral Research Fellow at Stanford University, involved in multiple AI-related research projects, 2020-Present
  • - Research Assistant at MIT, focusing on machine learning algorithm optimization, 2014-2015
Education
  • - Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Li, 2015-2020
  • - M.S., Massachusetts Institute of Technology, EECS, 2013-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Specialization: Computer Science
  • - Brief Introduction: Focused on developing intelligent systems that can solve complex problems.
Miscellany
  • - Enjoys reading science fiction and hiking in his free time
  • - Passionate about open-source software, contributor to several well-known projects