Wei W. Xing
Scholar

Wei W. Xing

Google Scholar ID: AB5z_AkAAAAJ
The University of Sheffield
Bayesian optimizationElectronic design automation (EDA)AI4EDAmachine learning
Citations & Impact
All-time
Citations
843
 
H-index
16
 
i10-index
26
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Best Paper Award at ISEDA 2024
  • Five papers accepted by DAC 2024
  • Two papers on AI-based physics law discovery accepted by AISTATS 2024
  • Multi-fidelity fusion research funded by BBSRC (UK)
  • Multi-fidelity fusion research funded by the University of Sheffield’s AIRE grant
  • Urban digital twin model awarded the Beijing Science and Technology Progress Award (Second Class)
  • Best Paper Nomination at ICCAD 2023 for the first transfer learning method for SRAM circuit yield estimation and optimization
Research Experience
  • Leads a research team at the University of Sheffield developing AI solutions for electronic design automation and energy systems
  • Conducts research on multi-fidelity fusion applied to biophysical modeling and autonomous driving systems
  • Develops urban digital twin models
  • Pioneers AI co-pilot methods for design optimization, including multi-fidelity Bayesian optimization, yield optimization, and knowledge transfer across designs
  • Works on reliable surrogate modeling and digital twin technologies