PPaperPicks

Guorong Wu

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

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

DBLP profile ↗ORCID 0000-0002-0550-6145 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Tingting Dan
×16
Won Hwa Kim
×13
Ziquan Wei
×8
Jiaqi Ding
×7
Jaeyoon Sim
×5
Hyuna Cho
×4
Zhixuan Zhou
×3
Hayoung Ahn
×2
Tianlong Chen
×2
Seungjoo Lee
×2
Joonhyuk Park
×2
Donghyun Lee
×2

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