Yuzhong Chen
Orcid: 0000-0003-4516-0895
According to our database1,
Yuzhong Chen
authored at least 26 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
IEEE Trans. Neural Networks Learn. Syst., May, 2025
A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates.
IEEE J. Biomed. Health Informatics, April, 2024
Inf. Fusion, April, 2024
Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus.
Comput. Biol. Medicine, January, 2024
Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction.
Neural Networks, 2024
2023
IEEE Trans. Medical Imaging, November, 2023
Digital Twin (DT)-CycleGAN: Enabling Zero-Shot Sim-to-Real Transfer of Visual Grasping Models.
IEEE Robotics Autom. Lett., May, 2023
Digital Twin (DT)-CycleGAN: Enabling Zero-Shot Sim-to-Real Transfer of Visual Grasping Models.
Dataset, March, 2023
Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs).
Neural Networks, January, 2023
2022
Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs).
Medical Image Anal., 2022
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers.
CoRR, 2022
2021
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Attention-Based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021