Yu-Ping Wang

Tulane University

United States

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Articles (16)

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (6)

Fengyu Cong

FINLAND

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Chao Xu

Assistant Professor

University of Oklahoma Health Sciences Center

UNITED STATES

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Tülay Adali

University of Maryland

UNITED STATES

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Aiying Zhang

Assistant Professor

University of Virginia

UNITED STATES

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Huiyu Zhou

Professor

University of Leicester

UNITED KINGDOM

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Vince Calhoun

Professor and Director Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)

Emory University

UNITED STATES

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Yu-Ping Wang

Research Interests

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Articles (16)

Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development

Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis

Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks

Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data

A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity during Brain Development

Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition

Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity

Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms

Developmental differences in functional organization of multispectral networks

Latent Similarity Identifies Important Functional Connections for Phenotype Prediction

Joint Sparse Collaborative Regression on Imaging Genetics Study of Schizophrenia

Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model

Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies

Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study

Brain Functional Connectivity Analysis via Graphical Deep Learning

Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint

Collaborators (6)

Fengyu Cong

Chao Xu

Tülay Adali

Aiying Zhang

Huiyu Zhou

Vince Calhoun

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