Yuzhong Chen

Orcid: 0000-0003-4516-0895

According to our database1, Yuzhong Chen authored at least 26 papers between 2021 and 2025.

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Bibliography

2025
Mask-Guided Vision Transformer for Few-Shot Learning.
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
Rectify ViT Shortcut Learning by Visual Saliency.
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

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
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

Mask-guided BERT for few-shot text classification.
Neurocomputing, 2024

2023
Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning.
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

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR, 2023

When Brain-inspired AI Meets AGI.
CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.
CoRR, 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

Rectify ViT Shortcut Learning by Visual Saliency.
CoRR, 2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning.
CoRR, 2022

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning.
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


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