Qiankun Zuo

According to our database, Qiankun Zuo authored at least 21 papers between 2021 and 2025.

Collaborative distances:

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

2025

BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment.

Qiankun Zuo, Ling Chen, Yanyan Shen, Michael Kwok-Po Ng, Baiying Lei, Shuqiang Wang

IEEE Trans Autom. Sci. Eng., 2025

Brain imaging-to-graph generation using adversarial hierarchical diffusion models for MCI causality analysis.

Qiankun Zuo, Hao Tian, Yudong Zhang, Jin Hong

Comput. Biol. Medicine, 2025

Bidirectional generative diffusion model with cascaded symmetric attention for brain connectivity-to-connectivity translation.

Qiankun Zuo, Yi Di, Conghuan Ye, Binghua Shi, Junyi Chen, Hui Wei, Ruiheng Li, Bangjun Lei

Biomed. Signal Process. Control., 2025

2024

A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning.

Yongcheng Zong, Qiankun Zuo, Michael Kwok-Po Ng, Baiying Lei, Shuqiang Wang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease.

Junren Pan, Qiankun Zuo, Bing-Chuan Wang, C. L. Philip Chen, Baiying Lei, Shuqiang Wang

IEEE Trans. Artif. Intell., October, 2024

Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease.

Qiankun Zuo, Huisi Wu, C. L. Philip Chen, Baiying Lei, Shuqiang Wang

IEEE Trans. Cybern., June, 2024

Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities.

Hao Tian, Ruiheng Li, Yi Di, Qiankun Zuo, Jinpeng Wang

J. Grid Comput., March, 2024

Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations.

Ruiheng Li, Lu Gan, Yi Di, Hao Tian, Qiankun Zuo, Yiming Luo, Xuan Wu, Haiyang Wang

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.

Qiankun Zuo, Ruiheng Li, Binghua Shi, Jin Hong, Yanfei Zhu, Xuhang Chen, Yixian Wu, Jia Guo

Frontiers Comput. Neurosci., 2024

Brain Causality Modeling Using Structure-Guided Spatiotemporal Diffusion Model for MCI Analysis.

Yanfei Zhu, Jiangtao Wang, Xuan Cheng, Junyi Chen, Hui Wei, Libin Lu, Zhi Yang, Qiankun Zuo

Proceedings of the Brain Informatics - 17th International Conference, 2024

2023

Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis.

Qiankun Zuo, Ling Chen, Shuqiang Wang

CoRR, 2023

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

Qiankun Zuo, Junren Pan, Shuqiang Wang

CoRR, 2023

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

Qiankun Zuo, Ruiheng Li, Yi Di, Hao Tian, Changhong Jing, Xuhang Chen, Shuqiang Wang

CoRR, 2023

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

Qiankun Zuo, Baiying Lei, Ning Zhong, Yi Pan, Shuqiang Wang

CoRR, 2023

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

Qiankun Zuo, Chi-Man Pun, Yudong Zhang, Hongfei Wang, Jin Hong

CoRR, 2023

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

Qiankun Zuo, Hao Tian, Ruiheng Li, Jia Guo, Jianmin Hu, Long Tang, Yi Di, Heng Kong

IEEE Access, 2023

Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCI.

Qiankun Zuo, Yanfei Zhu, Libin Lu, Zhi Yang, Yuhui Li, Ning Zhang

Proceedings of the Brain Informatics - 16th International Conference, 2023

Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease.

Junren Pan, Changhong Jing, Qiankun Zuo, Martin Nieuwoudt, Shuqiang Wang

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

2022

Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction.

Yongcheng Zong, Changhong Jing, Qiankun Zuo

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.

Qiankun Zuo, Baiying Lei, Shuqiang Wang, Yong Liu, Bingchuan Wang, Yanyan Shen

CoRR, 2021

Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction.

Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021