Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. - Qiankun Zuo; Baiying Lei; Yanyan Shen; Yong Liu 018; Zhiguang Feng; Shuqiang Wang (PRCV (3), 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 018; Bingchuan Wang; Yanyan Shen (CoRR, 2021)

Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction. - Yongcheng Zong; Changhong Jing; Qiankun Zuo (PRCV (2), 2022)

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 (BICS, 2023)

Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCI. - Qiankun Zuo; Yanfei Zhu; Libin Lu; Zhi Yang; Yuhui Li; Ning Zhang (BI, 2023)

Hemisphere-Separated Cross-Connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis. - Qiankun Zuo; Hao Tian 009; Ruiheng Li; Jia Guo 001; Jianmin Hu; Long Tang; Yi Di; Heng Kong (IEEE Access, 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 001; Hongfei Wang; Jin Hong (CoRR, 2023)

Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI. - Qiankun Zuo; Baiying Lei; Ning Zhong 001; Yi Pan 001; 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 009; Changhong Jing; Xuhang Chen 002; Shuqiang Wang (CoRR, 2023)

Alzheimer's Disease Prediction via Brain Structural-Functional Deep Fusing Network. - Qiankun Zuo; Junren Pan; Shuqiang Wang (CoRR, 2023)

Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis. - Qiankun Zuo; Ling Chen; Shuqiang Wang (CoRR, 2023)

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 (BI (2), 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 002; Yixian Wu; Jia Guo 001 (Frontiers Comput. Neurosci., 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 009; Qiankun Zuo; Yiming Luo; Xuan Wu; Haiyang Wang (J. King Saud Univ. Comput. Inf. Sci., 2024)

Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities. - Hao Tian 009; Ruiheng Li; Yi Di; Qiankun Zuo; Jinpeng Wang (J. Grid Comput., 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., 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., 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., 2024)

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)

Brain imaging-to-graph generation using adversarial hierarchical diffusion models for MCI causality analysis. - Qiankun Zuo; Hao Tian 009; Yudong Zhang 001; Jin Hong (Comput. Biol. Medicine, 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)