Integration of network topological features and graph Fourier transform for fMRI data analysis. - Junqi Wang 001; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (ISBI, 2018)

Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI. - Junqi Wang 001; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. - Li Xiao 002; Junqi Wang 001; Peyman Hosseinzajeh Kassani; Yipu Zhang; Yuntong Bai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Junqi Wang 001; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

Brain Functional Connectivity Analysis via Graphical Deep Learning. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Junqi Wang 001; Yuntong Bai; Beenish Patel; Kun Zhang 012; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. - Junqi Wang 001; Hailong Li; Gang Qu 002; Kim M. Cecil; Jonathan R. Dillman; Nehal A. Parikh; Lili He 003 (Medical Image Anal., 2023)

DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants. - Junqi Wang 001; Hailong Li; Kim M. Cecil; Mekibib Altaye; Nehal A. Parikh; Lili He 003 (Comput. Methods Programs Biomed., 2024)

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Aiying Zhang; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome. - Hailong Li; Junqi Wang 001; Zhiyuan Li 011; Kim M. Cecil; Mekibib Altaye; Jonathan R. Dillman; Nehal A. Parikh; Lili He 003 (NeuroImage, 2024)

Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Kun Zhang 012; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2024)