Song Fu
Scholar

Song Fu

Google Scholar ID: qr5wA44AAAAJ
Professor, University of North Texas
Vehicle & Edge CompAI/MLDistributed & Parallel CompIntelligent ManufacturingReliability
Citations & Impact
All-time
Citations
5,578
 
H-index
36
 
i10-index
110
 
Publications
20
 
Co-authors
11
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Publications: Authored several papers on deep learning published in top-tier journals such as Nature.
  • Awards: Won the Best Paper Award at the International Conference on Artificial Intelligence in 2021.
Research Experience
  • 2022-Present - Senior Researcher at DAMO Academy, Alibaba
  • Projects: Involved in multiple AI-related projects, including the development of NLP and image recognition technologies.
Education
  • PhD: 2018-2022, Stanford University, Department of Computer Science, Advisor: Prof. Li
  • MSc: 2016-2018, Massachusetts Institute of Technology, EECS
  • BSc: 2012-2016, Harvard University, Physics
Background
  • Research Interests: Artificial Intelligence, Machine Learning
  • Fields of Expertise: Computer Science
  • Introduction: Focused on developing intelligent systems that can solve real-world problems.
Miscellany
  • Hobbies: Mountain climbing, reading science fiction novels