Yang Katie Zhao
Scholar

Yang Katie Zhao

Google Scholar ID: vtaBuEcAAAAJ
Assistant Professor, University of Minnesota, Twin Cities
Computer ArchitectureDomain-Specific AccelerationMachine Learning
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Citations & Impact
All-time
Citations
1,320
 
H-index
17
 
i10-index
22
 
Publications
20
 
Co-authors
5
list available
Contact
Emailyangkatie.zhao@gmail.comCVOpen ↗LinkedInOpen ↗
Publications
2 items
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability
2025
Cited
0
MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators
2025
Cited
0
Resume (English only)
Academic Achievements
  • Publications: SmartExchange ISCA'20, i-FlatCam VLSI'22, EyeCoD ISCA'22 (Selected as IEEE Micro Top Picks'23)
Research Experience
  • Assistant Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, Twin Cities; Postdoctoral Researcher at the EIC lab of Georgia Institute of Technology
Education
  • Ph.D.: Rice University, Advisor: Yingyan Lin; M.S.: Fudan University, Advisor: Zhiliang Hong; B.S.: Fudan University
Background
  • Research Interests: Computer Architecture, Hardware Design, and Machine Learning (especially emerging ML models like large language models); Professional Field: Electrical and Computer Engineering; Brief Introduction: Co-design across the computing stack (applications, algorithms, integrated systems, architectures, circuits, and devices) to achieve high-performance, efficient, and robust AI-powered functionalities.
Miscellany
  • Personal Interests: Not provided
Co-authors
5 total
Yingyan (Celine) Lin
Yingyan (Celine) Lin
Associate Professor, Georgia Institute of Technology
Chaojian Li
Chaojian Li
Hong Kong University of Science and Technology
Cheng Wan
Cheng Wan
Georgia Institute of Technology
Yuan Xie
Yuan Xie
Chair Professor of Hong Kong University of Science and Technology (HKUST)
Sixu Li
Sixu Li
Georgia Institute of Technology