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Guorong Wu

University of North Carolina (UNC), Chapel Hill, NC, USA

26 papers at tracked venues · 15 at CORE A* · active 2024–2026

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Venues

MICCAI ×11NeurIPS ×8AAAI ×4ICML ×2ICLR ×1

Frequent coauthors

Ziquan Wei
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Tingting Dan
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Jiaqi Ding
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Hyuna Cho
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Joonhyuk Park
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Jaeyoon Sim
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Zhixuan Zhou
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Song Wang
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Hayoung Ahn
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Yechan Hwang
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Seunghun Baek
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Yanquan Huang
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Papers

  1. Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape
    AAAI 2026 ·
    Ziquan Wei
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  2. SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization
    AAAI 2026 ·
    Jiaqi Ding
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  3. Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer's Disease Conversion Prediction
    MICCAI 2025 ·
    Hyuna Cho
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  4. Brain-Environment Cross-Attention (BECA) Meta-matching: A New Perspective of Brain Connectome Zero-Shot Learning
    MICCAI 2025 ·
    Ziquan Wei
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  5. BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold
    NeurIPS 2025 ·
    Zhixuan Zhou
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  6. BrainMAP: Learning Multiple Activation Pathways in Brain Networks
    AAAI 2025 ·
    Song Wang
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  7. BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model
    NeurIPS 2025 ·
    Ziquan Wei
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  8. Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies
    ICLR 2025 ·
    Hyuna Cho
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  9. Conditional Graph Diffusion with Topological Constraints for Brain Network Generation
    MICCAI 2025 ·
    Joonhyuk Park
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  10. Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
    NeurIPS 2025 ·
    Tingting Dan
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  11. GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds
    NeurIPS 2025 ·
    Tingting Dan
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  12. Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs
    NeurIPS 2025 ·
    Jiaqi Ding
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  13. Spectral Graph Autoregressive Modeling for Conditional Brain Network Augmentation
    MICCAI 2025 ·
    Hayoung Ahn
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  14. Topology-aware Graph Diffusion Model with Persistent Homology
    NeurIPS 2025 ·
    Joonhyuk Park
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  15. Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game
    NeurIPS 2025 ·
    Tingting Dan
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  16. A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages
    MICCAI 2024 ·
    Jiaqi Ding
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  17. Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
    ICML 2024 ·
    Tingting Dan
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  18. Learning to Approximate Adaptive Kernel Convolution on Graphs
    AAAI 2024 ·
    Jaeyoon Sim
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  19. Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
    MICCAI 2024 ·
    Jaeyoon Sim
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  20. Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis
    MICCAI 2024 ·
    Yechan Hwang
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  21. NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
    NeurIPS 2024 ·
    Ziquan Wei
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  22. Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
    ICML 2024 ·
    Hyuna Cho
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  23. OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
    MICCAI 2024 ·
    Seunghun Baek
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  24. Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
    MICCAI 2024 ·
    Ziquan Wei
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  25. Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport
    MICCAI 2024 ·
    Yanquan Huang
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  26. Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling
    MICCAI 2024 ·
    Chiyuen Chow
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