Qiankun Zuo

Orcid: 0009-0002-8487-5762

According to our database1, Qiankun Zuo authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease.
IEEE Trans. Cybern., June, 2024

Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities.
J. Grid Comput., March, 2024

Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations.
J. King Saud Univ. Comput. Inf. Sci., February, 2024

U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis.
Frontiers Comput. Neurosci., 2024

2023
Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis.
CoRR, 2023

Alzheimer's Disease Prediction via Brain Structural-Functional Deep Fusing Network.
CoRR, 2023

DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI.
CoRR, 2023

Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI.
CoRR, 2023

Multi-resolution Spatiotemporal Enhanced Transformer Denoising with Functional Diffusive GANs for Constructing Brain Effective Connectivity in MCI analysis.
CoRR, 2023

Hemisphere-Separated Cross-Connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis.
IEEE Access, 2023

Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCI.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

2022
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease.
CoRR, 2021

Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021


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