Zijian Dong
Scholar

Zijian Dong

Google Scholar ID: xKUU2_EAAAAJ
National University of Singapore
NeuroimagingDeep LearningFoundation Model
Citations & Impact
All-time
Citations
31
 
H-index
3
 
i10-index
1
 
Publications
10
 
Co-authors
10
list available
Publications
10 items
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Resume (English only)
Academic Achievements
  • Published several papers, including 'Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens' (NeurIPS 2025), 'Improve Representation for Imbalanced Regression through Geometric Constraints' (CVPR 2025), 'Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking' (NeurIPS 2024), and more.
Research Experience
  • He has worked as a research intern at United Imaging Intelligence, collaborating with Jie-Zhi Cheng.
Education
  • Ph.D. in Electrical and Computer Engineering from National University of Singapore, supervised by Dr. Juan Helen Zhou; B.Eng. in Biomedical Engineering from Beihang University. He was a visiting undergraduate scholar at Columbia University in the City of New York, supervised by Andrew F. Laine.
Background
  • Research interests include NeuroAI, neuroimaging, brain connectivity, foundation models, and representation learning. Currently, his research focuses on the intersection of artificial intelligence and neuroimaging, with applications in the diagnosis and prognosis of neurodegenerative diseases.
Miscellany
  • Served as a reviewer for multiple international conferences, including CVPR, ICCV, ICML, ICLR, NeurIPS, MICCAI, AISTATS, AAAI, TMI, TMLR, eLife. Co-organized the EPVS Segmentation Challenge at MICCAI 2024 and served on the program committee for the NeuroAI Workshop at NeurIPS 2024.