Modeling dose-dependent neural processing responses using mixed effects spline models: With application to a PET study of ethanol. - Ying Guo 003; F. DuBois Bowman (NeuroImage, 2008)

Predicting individual brain functional connectivity using a Bayesian hierarchical model. - Tian Dai; Ying Guo 003 (NeuroImage, 2017)

Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks. - Phebe Brenne Kemmer; Yikai Wang; F. DuBois Bowman; Helen S. Mayberg; Ying Guo 003 (Brain Connect., 2018)

Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge. - Ixavier A. Higgins; Suprateek Kundu; Ying Guo 003 (NeuroImage, 2018)

Estimating dynamic brain functional networks using multi-subject fMRI data. - Suprateek Kundu; Jin Ming; Jordan E. Pierce; Jennifer E. McDowell; Ying Guo 003 (NeuroImage, 2018)

A smooth nonparametric approach to determining cut-points of a continuous scale. - Zhiping Qiu; Limin Peng; Amita Manatunga; Ying Guo 003 (Comput. Stat. Data Anal., 2019)

A hierarchical independent component analysis model for longitudinal neuroimaging studies. - Yikai Wang; Ying Guo 003 (NeuroImage, 2019)

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. - Xuan Kan; Hejie Cui; Ying Guo 003; Carl Yang 001 (CoRR, 2021)

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). - Wei Dai 013; Hejie Cui; Xuan Kan; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. - Xuan Kan; Yunchuan Kong; Tianwei Yu; Ying Guo 003 (IEEE Big Data, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (IEEE Big Data, 2022)

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. - Yi Yang 094; Yanqiao Zhu 001; Hejie Cui; Xuan Kan; Lifang He 001; Ying Guo 003; Carl Yang 001 (KDD, 2022)

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. - Xuan Kan; Hejie Cui; Joshua Lukemire; Ying Guo 003; Carl Yang 001 (MIDL, 2022)

Brain Network Transformer. - Xuan Kan; Wei Dai 013; Hejie Cui; Zilong Zhang; Ying Guo 003; Carl Yang 001 (NeurIPS, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (CoRR, 2022)

Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. - Xuan Kan; Antonio Aodong Chen Gu; Hejie Cui; Ying Guo 003; Carl Yang 001 (BHI, 2023)

Transformer-Based Hierarchical Clustering for Brain Network Analysis. - Wei Dai 013; Hejie Cui; Xuan Kan; Ying Guo 003; Sanne J. H. van Rooij; Carl Yang 001 (ISBI, 2023)

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (ISBI, 2023)

R-Mixup: Riemannian Mixup for Biological Networks. - Xuan Kan; Zimu Li; Hejie Cui; Yue Yu 001; Ran Xu 002; Shaojun Yu; Zilong Zhang; Ying Guo 003; Carl Yang 001 (KDD, 2023)

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Trans. Medical Imaging, 2023)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. - Kaiqiao Han; Yi Yang 001; Zijie Huang 002; Xuan Kan; Ying Guo 003; Yang Yang 009; Lifang He 001; Liang Zhan; Yizhou Sun; Wei Wang 010; Carl Yang 001 (BHI, 2024)

Multi-task Learning for Brain Network Analysis in the ABCD Study. - Xuan Kan; Hejie Cui; Keqi Han; Ying Guo 003; Carl Yang 001 (BHI, 2024)