Khanh-Binh Nguyen
Scholar

Khanh-Binh Nguyen

Google Scholar ID: LoOglv4AAAAJ
Deakin University
Deep learningOptimizationRepresentation LearningContrastive LearningMultimodal
Citations & Impact
All-time
Citations
551
 
H-index
5
 
i10-index
4
 
Publications
18
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • Published in top-tier venues like CVPR, ICCV, and WACV.
  • Recognized in global AI competitions.
  • Invented Checkerboard Dropout regularization technique.
  • Created EUNConv and EUNNet.
  • Introduced SymMIM Masked Image Modeling technique, accepted at ICPR 2024.
  • Contributed as a peer reviewer for NeurIPS, CVPR, and AAAI.
Education
  • Ph.D. from Sungkyunkwan University
Background
  • A dedicated AI Research Specialist at Deakin University, with expertise in Deep Learning, Computer Vision, and Multimodal AI systems. Spearheads innovative research in efficient neural architectures and advanced training methodologies, targeting applications in image recognition, few-shot learning, and Large Multimodal Language Models.