Jingyu Liu
Orcid: 0000-0002-1646-637XAffiliations:
- Beihang University, Beijing, China
According to our database1,
Jingyu Liu
authored at least 26 papers
between 2017 and 2025.
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Bibliography
2025
LSNN Model: A Lightweight Spiking Neural Network-Based Depression Classification Model for Wearable EEG Sensors.
IEEE Trans. Mob. Comput., November, 2025
An AI-Assisted All-in-One Integrated Coronary Artery Disease Diagnosis System Using a Portable Heart Sound Sensor With an On-Board Executable Lightweight Model.
IEEE Trans. Mob. Comput., August, 2025
IEEE J. Biomed. Health Informatics, May, 2025
IEEE Trans. Comput. Soc. Syst., April, 2025
A Temporal-Spatial Embedding and Dynamic Aggregation Network With Adaptive Weighting Spectrum for EEG Motion Intention Recognition.
IEEE Trans. Instrum. Meas., 2025
Medical Image Anal., 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Hierarchical CLIPs for Fine-Grained Anatomical Lesion Localization from Whole-Body PET/CT Images.
Proceedings of the Information Processing in Medical Imaging, 2025
2024
Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs.
IEEE Trans. Comput. Soc. Syst., December, 2024
Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation.
IEEE Trans. Comput. Soc. Syst., December, 2024
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis.
IEEE J. Biomed. Health Informatics, August, 2024
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis.
IEEE Trans. Medical Imaging, March, 2024
Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis.
IEEE Trans. Medical Imaging, February, 2024
SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer.
Comput. Biol. Medicine, 2024
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification.
Comput. Biol. Medicine, 2024
2023
Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation.
IEEE Trans. Cybern., September, 2023
Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion.
IEEE Trans. Cogn. Dev. Syst., 2023
2022
Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification.
IEEE Trans. Medical Imaging, 2022
2020
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification.
IEEE Trans. Medical Imaging, 2020
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.
Neuroinformatics, 2020
2019
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.
IEEE Trans. Medical Imaging, 2019
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.
Medical Image Anal., 2019
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis.
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.
Frontiers Neuroinformatics, 2018
2017
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017