Shang-Hong Lai
Scholar

Shang-Hong Lai

Google Scholar ID: LlybOXQAAAAJ
Professor of Computer Science, National Tsing Hua University, Taiwan
Computer visionimage processingmachine learningmultimediamedical imaging
Citations & Impact
All-time
Citations
3,336
 
H-index
27
 
i10-index
64
 
Publications
20
 
Co-authors
78
list available
Contact
Resume (English only)
Academic Achievements
  • Published multiple journal and conference papers, such as 'Cycle-Object Consistency for Image-to-Image Domain Adaptation' (Pattern Recognition, 2023), 'RGB-D Face Recognition with Identity-Style Disentanglement and Depth Augmentation' (IEEE Transactions on Biometrics, Behavior, and Identity Science, 2022), etc. Involved in various research projects, including multi-camera multi-modal human tracking and action recognition, and optimization of deep learning for robot vision.
Research Experience
  • 2022 - present, Associate Dean, College of Electrical Engineering and Computer Science, National Tsing Hua University; 2008 - present, Professor, Department of Computer Science, National Tsing Hua University; 2018 - 2022, Principal Research Manager, Microsoft AI R&D Center, Taipei; 2015 - 2018, Chair, Department of Computer Science, National Tsing Hua University; 2011 - 2015, Director, Center of Computer and Communication, National Tsing Hua University; 2001 - 2008, Associate Professor, Department of Computer Science, National Tsing Hua University; 1999 - 2001, Assistant Professor, Department of Computer Science, National Tsing Hua University; 1995 - 1999, Member of Technical Staff, Imaging and Visualization Dept., Siemens Corporate Research, Princeton, New Jersey, USA.
Education
  • 1986, Bachelor of Electrical Engineering, National Tsing Hua University; 1988, Master of Electrical Engineering, National Tsing Hua University; 1995, Ph.D. in Electrical & Computer Engineering, University of Florida.
Background
  • Research Interests: Computer Vision, Video/Image Analysis and Processing, Multimedia Signal Processing, Machine Learning. Professional Field: Computer Science.