Weicheng Xie
Scholar

Weicheng Xie

Google Scholar ID: S2uh8OIAAAAJ
Associate Professor, Shenzhen University
Facial expression analysisDeep learningImage processing
Citations & Impact
All-time
Citations
1,245
 
H-index
18
 
i10-index
27
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Recipient of the 2017 Shenzhen Reserve Talents Award and the 2018 Shenzhen Nanshan District Pilot Talent Award. Multiple papers have been accepted by TIM'25, TOMM'25, MM'25, ICCV'25, TETCI'25, PR'25, AAAI'25, TVCG, NeurIPS'24, T-IFS'24, ECCV'24. Achieved second place in the Automatic Recognition of Micro Expressions challenge organized by CCAC'2024 and sixth place in the Black-box Adversarial Attacks on Vision Foundation Models challenge organized by CVPR'2024.
Research Experience
  • Currently heads the Facial Expression Analysis research group at Shenzhen University. Served as a Visiting Scholar at the School of Computer Science, The University of Nottingham, and a Postdoctoral Fellow in the Computer Vision group with Prof. Linlin Shen at Shenzhen University.
Education
  • Received B.E. in Statistics from Central China Normal University in June 2008; Ph.D. in Computational Mathematics from Wuhan University in June 2013. Before joining Shenzhen University, he was a Visiting Scholar at the School of Computer Science, The University of Nottingham, UK, and a Postdoctoral Fellow in the Computer Vision group with Prof. Linlin Shen at Shenzhen University.
Background
  • Currently an Associate Professor at the College of Computer Science and Software Engineering, Shenzhen University. His research interests include facial expression analysis, deep learning, deep metric learning, and machine learning.
Miscellany
  • Open to working with both undergraduate and postgraduate students interested in his work. Also, the Computer Vision Institute at Shenzhen University is hiring postdocs for research in deep learning, machine learning, face and facial expression analysis, and medical image processing and analysis.