Ziquan Wei
8 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Diamond πΊοΈ Taxonomy Completionist (18) π Grand Slam π Conference Pioneer
π
Renaissance Researcher
(7)
Top co-authors
Research topics
Deep Learning
(3)
Machine Learning
(3)
Healthcare & Medicine
(2)
Architectures
(2)
Core Methods
(2)
Models
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Applications Β· Data Science & Analytics
(1)
Applications Β· Computer Science
(1)
Bayesian & Probabilistic
(1)
Keywords
graph neural network
(2)
transformer architecture
(1)
multi-task learning
(1)
ordinal regression
(1)
brain connectivity
(1)
graph representation learning
(1)
functional neuroimaging
(1)
neuroimaging analysis
(1)
structural connectivity
(1)
disease progression
(1)
graph diffusion
(1)
riemannian manifold
(1)
diffusion model
(1)
foundation model
(1)
generative adversarial network
(1)
brain connectome
(1)
longitudinal data
(1)
variational analysis
(1)
disease diagnosis
(1)
neurodegenerative disease
(1)
Papers
Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape
AAAI 2026
Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning
MICCAI 2025
Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies
ICLR 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
Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
MICCAI 2024
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
NeurIPS 2023