Ying Guo

According to our database, Ying Guo authored at least 22 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.

Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang

CoRR, 2024

2023

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

IEEE Trans. Medical Imaging, February, 2023

R-Mixup: Riemannian Mixup for Biological Networks.

Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis.

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis.

Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

CoRR, 2022

Brain Network Transformer.

Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation.

Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning.

Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

BraceNet: Graph-Embedded Neural Network For Brain Network Analysis.

Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo

Proceedings of the IEEE International Conference on Big Data, 2022

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract).

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation.

Xuan Kan, Hejie Cui, Ying Guo, Carl Yang

CoRR, 2021

2019

A hierarchical independent component analysis model for longitudinal neuroimaging studies.

Yikai Wang, Ying Guo

NeuroImage, 2019

A smooth nonparametric approach to determining cut-points of a continuous scale.

Zhiping Qiu, Limin Peng, Amita Manatunga, Ying Guo

Comput. Stat. Data Anal., 2019

2018

Estimating dynamic brain functional networks using multi-subject fMRI data.

Suprateek Kundu, Jin Ming, Jordan E. Pierce, Jennifer E. McDowell, Ying Guo

NeuroImage, 2018

Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge.

Ixavier A. Higgins, Suprateek Kundu, Ying Guo

NeuroImage, 2018

Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks.

Phebe Brenne Kemmer, Yikai Wang, F. DuBois Bowman, Helen S. Mayberg, Ying Guo

Brain Connect., 2018

2017

Predicting individual brain functional connectivity using a Bayesian hierarchical model.

Tian Dai, Ying Guo

NeuroImage, 2017

2008

Modeling dose-dependent neural processing responses using mixed effects spline models: With application to a PET study of ethanol.

Ying Guo, F. DuBois Bowman

NeuroImage, 2008