Guorong Wu
23 papers · 2013–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Diamond 🐣 Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Keyword Champion
(3)
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Dynamic Duo
(11)
🌈
Renaissance Researcher
(7)
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Prolific Year · Prolific
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Conference Pioneer
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Century Club · Bronze
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Trend Setter
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Keyword Collector
(67)
Top co-authors
Research topics
Keywords
graph neural network
(5)
brain network
(3)
functional connectivity
(3)
functional neuroimaging
(2)
medical imaging
(2)
manifold learning
(1)
ordinal regression
(1)
transformer architecture
(1)
image registration
(1)
graph representation learning
(1)
multi-task learning
(1)
neuroimaging analysis
(1)
structural connectivity
(1)
disease progression
(1)
image manifold
(1)
riemannian manifold
(1)
graph diffusion
(1)
support vector machine
(1)
diffusion model
(1)
brain connectivity
(1)
Papers
Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape
AAAI 2026
SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization
AAAI 2026
Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction
MICCAI 2025
Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning
MICCAI 2025
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
AAAI 2025
Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies
ICLR 2025
Conditional Graph Diffusion with Topological Constraints for Brain Network Generation
MICCAI 2025
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
NeurIPS 2024
A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages
MICCAI 2024
Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
ICML 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs
AAAI 2024
Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
MICCAI 2024
Multi-order Simplex-based Graph Neural Network for Brain Network Analysis
MICCAI 2024
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
ICML 2024
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
MICCAI 2024
Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
MICCAI 2024
Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport
MICCAI 2024
Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling
MICCAI 2024
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
NeurIPS 2023
Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal β-Amyloid Data
MIDL 2021
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection
IJCAI 2020
Learning-Based Atlas Selection for Multiple-Atlas Segmentation
CVPR 2014
Groupwise Registration via Graph Shrinkage on the Image Manifold
CVPR 2013