Guorong Wu

Multi-Scale Adaptive Hypergraph Learning for High-Order Brain Connectivity Analysis

MnemoDyn: Learning Resting State Dynamics from $40$K FMRI sequences

Geo-Mamba: Dual-Path Riemannian State-Space Models for Functional Dynamics

Towards Principled Design for Graph Neural Networks Through Governing Law of Dynamic Learning Behavior

Mixture of Spectral Wavelets on Simplicial Complex: Analysis of Brain Connectome with Neurodegeneration

Neural Synchronization Landscapes Reveal Altered Structure–Function Coupling in Neurodegenerative Diseases

Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs

Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies

BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold

GeoDynamics: A Geometric State‑Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds

Topology-aware Graph Diffusion Model with Persistent Homology

Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game

Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game

BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model

GeoMind: A Geometric Neural Network of State Space Model for Understanding Brain Dynamics on Riemannian Manifold

Graph Neural Network Is A Mean Field Game

Topology-aware Graph Diffusion Model with Persistent Homology

Machine Learning Benchmark on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations