Lei Yang
Scholar

Lei Yang

Google Scholar ID: UTTE_wEAAAAJ
George Mason University
System-Level Optimization for Applied Machine LearningAutomated machine learningHardware/Software co-design for neural archi
Citations & Impact
All-time
Citations
1,782
 
H-index
20
 
i10-index
35
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • No specific academic achievements such as publications or awards are mentioned directly.
Research Experience
  • Currently an Assistant Professor (tenure-track) in the Department of Information Sciences and Technology at George Mason University. Previously, she was an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Mexico. She also served as a Post-Doctoral Research Associate in the Department of Computer Science and Engineering at the University of Notre Dame. From 2017 to 2019, she worked as a visiting scholar at the University of California, Irvine, and the University of Pittsburgh.
Education
  • PhD in Computer Science from Chongqing University in 2019; BE degree from Chongqing University in 2013.
Background
  • Primary research interests: Hardware/Software Co-Exploration for Neural Network Architectures, Embedded Systems, High-Performance Computing. Specializes in system-level Design and Optimization for Applied Machine Learning.
Miscellany
  • No particular personal interests or additional information provided.