Jingyu Liu

According to our database, Jingyu Liu authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis.

Yulan Ma, Weigang Cui, Jingyu Liu, Yuzhu Guo, Huiling Chen, Yang Li

IEEE Trans. Medical Imaging, March, 2024

Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis.

Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong, Ran Cai, Yang Li, Bin Hu

IEEE Trans. Medical Imaging, February, 2024

2023

Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation.

Yang Li, Yue Zhang, Jingyu Liu, Kang Wang, Kai Zhang, Gen-Sheng Zhang, Xiaofeng Liao, Guang Yang

IEEE Trans. Cybern., September, 2023

Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion.

Jie Luo, Weigang Cui, Jingyu Liu, Yang Li, Yuzhu Guo, Song Xu, Lina Wang

IEEE Trans. Cogn. Dev. Syst., 2023

2022

Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification.

Yang Li, Jingyu Liu, Yiqiao Jiang, Yu Liu, Baiying Lei

IEEE Trans. Medical Imaging, 2022

2020

Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification.

Yang Li, Jingyu Liu, Zhenyu Tang, Baiying Lei

IEEE Trans. Medical Imaging, 2020

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.

Yang Li, Jingyu Liu, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen

Neuroinformatics, 2020

2019

Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.

Yang Li, Hao Yang, Baiying Lei, Jingyu Liu, Chong-Yaw Wee

IEEE Trans. Medical Imaging, 2019

Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.

Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen

Medical Image Anal., 2019

Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis.

Yiqiao Jiang, Huifang Huang, Jingyu Liu, Chong-Yaw Wee, Yang Li

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification.

Yang Li, Jingyu Liu, Jie Huang, Zuoyong Li, Peipeng Liang

Frontiers Neuroinformatics, 2018

2017

Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.

Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification.

Yang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017