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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.