Ying Guo - RankMe

31 papers A* 3B 4Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. BHI Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024	J	`jnl`	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024	—	`conf`	Multi-task Learning for Brain Network Analysis in the ABCD Study. BHI Xuan Kan, Hejie Cui, Keqi Han, Ying Guo, Carl Yang
2023	J	`jnl`	BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2023	—	`conf`	Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2023	—	`conf`	Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. BHI Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang
2023	J	`jnl`	Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis. CoRR Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang
2023	A*	`conf`	R-Mixup: Riemannian Mixup for Biological Networks. KDD Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
2023	J	`jnl`	R-Mixup: Riemannian Mixup for Biological Networks. CoRR Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
2023	—	`conf`	Transformer-Based Hierarchical Clustering for Brain Network Analysis. ISBI Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne J. H. van Rooij, Carl Yang
2023	J	`jnl`	Transformer-Based Hierarchical Clustering for Brain Network Analysis. CoRR Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne J. H. van Rooij, Carl Yang
2022	B	`conf`	BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. IEEE Big Data Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo
2022	A*	`conf`	Brain Network Transformer. NeurIPS Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
2022	J	`jnl`	Brain Network Transformer. CoRR Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
2022	B	`conf`	BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022	A*	`conf`	Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. KDD Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. CoRR Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang
2022	—	`conf`	FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. MIDL Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
2022	J	`jnl`	FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. CoRR Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
2022	B	`conf`	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022	J	`jnl`	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022	B	`conf`	Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). IEEE Big Data Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang
2021	J	`jnl`	Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. CoRR Xuan Kan, Hejie Cui, Ying Guo, Carl Yang
2019	J	`jnl`	A hierarchical independent component analysis model for longitudinal neuroimaging studies. NeuroImage Yikai Wang, Ying Guo
2019	J	`jnl`	A smooth nonparametric approach to determining cut-points of a continuous scale. Comput. Stat. Data Anal. Zhiping Qiu, Limin Peng, Amita Manatunga, Ying Guo
2018	J	`jnl`	Estimating dynamic brain functional networks using multi-subject fMRI data. NeuroImage Suprateek Kundu, Jin Ming, Jordan E. Pierce, Jennifer E. McDowell, Ying Guo
2018	J	`jnl`	Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks. Brain Connect. Phebe Brenne Kemmer, Yikai Wang, F. DuBois Bowman, Helen S. Mayberg, Ying Guo
2018	J	`jnl`	Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge. NeuroImage Ixavier A. Higgins, Suprateek Kundu, Ying Guo
2017	J	`jnl`	Predicting individual brain functional connectivity using a Bayesian hierarchical model. NeuroImage Tian Dai, Ying Guo
2008	J	`jnl`	Modeling dose-dependent neural processing responses using mixed effects spline models: With application to a PET study of ethanol. NeuroImage Ying Guo, F. DuBois Bowman