Fayao Liu
Scholar

Fayao Liu

Google Scholar ID: AxY1-SIAAAAJ
Institute for Infocomm Research, A*STAR
Machine LearningComputer Vision
Citations & Impact
All-time
Citations
4,483
 
H-index
24
 
i10-index
41
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Honoree of SG100 Women in Tech, 2023
  • Recipient of MTC Young Individual Research Grant, 2022
  • Listed among Stanford’s World’s Top 2% Scientists, 2021–2023
  • Dean's Commendation for Doctoral Thesis Excellence, University of Adelaide, 2015
  • Associate Editor for IEEE Transactions on Multimedia (2024–2026) and IEEE Transactions on Circuits and Systems for Video Technology (2023–2024)
  • Area Chair and Tutorial & Demo Chair for 3DV 2025
  • Published extensively in top venues including TPAMI, CVPR, IJCV, TIP, and TNNLS; notable works include RefineNet and deep convolutional neural fields for monocular depth estimation