Qiankun Zuo

33 papers Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A controllable medical image security scheme using selective encryption and watermarking for bit-planes in the TSH domain.
Cybersecur.
Conghuan Ye, Li Shi, Shenglong Tan, Jun Wang, Qiankun Zuo, Wei Feng
2026 J jnl
GSDehazeFusion: Efficient image dehazing via fusion of multi-scale Gaussian pyramid and fourier-aware diffusion.
Inf. Fusion
Bangjun Lei, Tongfa Wang, Ziyi Li, Jiaojiao Yu, Yilei Chen, Qiankun Zuo
2026 J jnl
MGML: A plug-and-play meta-guided multi-modal learning framework for incomplete multimodal brain tumor segmentation.
Neural Networks
Yulong Zou, Bo Liu, Cun-Jing Zheng, Yuan-ming Geng, Siyue Li, Qiankun Zuo, Shuihua Wang, Yudong Zhang, Jin Hong
2026 J jnl
Multi-stage cascaded refinement with wavelet downsampling for retinal vessel segmentation.
Biomed. Signal Process. Control.
Zikun Ling, Jiaojiao Yu, Qiankun Zuo, Bangjun Lei
2026 J jnl
Temporal Trend and Fluctuation Learning via Enhanced Attention Mamba for Carbon Price Interval Forecasting.
Entropy
Lijun Duan, Jin Chen, Qiankun Zuo, Yanfei Zhu, Yi Di, Ruiheng Li
2025 J jnl
BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment.
IEEE Trans Autom. Sci. Eng.
Qiankun Zuo, Ling Chen, Yanyan Shen, Michael Kwok-Po Ng, Baiying Lei, Shuqiang Wang
2025 J jnl
Bidirectional generative diffusion model with cascaded symmetric attention for brain connectivity-to-connectivity translation.
Biomed. Signal Process. Control.
Qiankun Zuo, Yi Di, Conghuan Ye, Binghua Shi, Junyi Chen, Hui Wei, Ruiheng Li, Bangjun Lei
2025 J jnl
Brain imaging-to-graph generation using adversarial hierarchical diffusion models for MCI causality analysis.
Comput. Biol. Medicine
Qiankun Zuo, Hao Tian, Yudong Zhang, Jin Hong
2025 J jnl
Joint Watermarking and Encryption for Social Image Sharing.
Comput. Mater. Continua
Conghuan Ye, Shenglong Tan, Shi Li, Jun Wang, Qiankun Zuo, Bing Xiong
2025 J jnl
MGML: A Plug-and-Play Meta-Guided Multi-Modal Learning Framework for Incomplete Multimodal Brain Tumor Segmentation.
CoRR
Yulong Zou, Bo Liu, Cun-Jing Zheng, Yuan-ming Geng, Siyue Li, Qiankun Zuo, Shuihua Wang, Yudong Zhang, Jin Hong
2025 J jnl
MR-guided graph learning of 18F-florbetapir PET enables accurate and interpretable Alzheimer's disease staging.
NeuroImage
Xinyi Chen, Lijuan Chen, Weiheng Yao, Qiankun Zuo, Ye Li, Dong Liang, Shuqiang Wang, Meiyun Wang, Tao Sun
2025 J jnl
Social Image Security with Encryption and Watermarking in Hybrid Domains.
Entropy
Conghuan Ye, Shenglong Tan, Jun Wang, Li Shi, Qiankun Zuo, Wei Feng
2024 J jnl
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongcheng Zong, Qiankun Zuo, Michael Kwok-Po Ng, Baiying Lei, Shuqiang Wang
2024 — conf
Brain Causality Modeling Using Structure-Guided Spatiotemporal Diffusion Model for MCI Analysis.
BI (2)
Yanfei Zhu, Jiangtao Wang, Xuan Cheng, Junyi Chen, Hui Wei, Libin Lu, Zhi Yang, Qiankun Zuo
2024 J jnl
DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease.
IEEE Trans. Artif. Intell.
Junren Pan, Qiankun Zuo, Bing-Chuan Wang, C. L. Philip Chen, Baiying Lei, Shuqiang Wang
2024 J jnl
Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities.
J. Grid Comput.
Hao Tian, Ruiheng Li, Yi Di, Qiankun Zuo, Jinpeng Wang
2024 J jnl
Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations.
J. King Saud Univ. Comput. Inf. Sci.
Ruiheng Li, Lu Gan, Yi Di, Hao Tian, Qiankun Zuo, Yiming Luo, Xuan Wu, Haiyang Wang
2024 J jnl
Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease.
IEEE Trans. Cybern.
Qiankun Zuo, Huisi Wu, C. L. Philip Chen, Baiying Lei, Shuqiang Wang
2024 J jnl
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis.
Frontiers Comput. Neurosci.
Qiankun Zuo, Ruiheng Li, Binghua Shi, Jin Hong, Yanfei Zhu, Xuhang Chen, Yixian Wu, Jia Guo
2024 J jnl
Wild Gibbon Optimization Algorithm.
Comput. Mater. Continua
Jia Guo, Jin Wang, Ke Yan, Qiankun Zuo, Ruiheng Li, Zhou He, Dong Wang, Yuji Sato
2023 J jnl
Alzheimer's Disease Prediction via Brain Structural-Functional Deep Fusing Network.
CoRR
Qiankun Zuo, Junren Pan, Shuqiang Wang
2023 J jnl
Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis.
CoRR
Qiankun Zuo, Ling Chen, Shuqiang Wang
2023 J jnl
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI.
CoRR
Qiankun Zuo, Baiying Lei, Ning Zhong, Yi Pan, Shuqiang Wang
2023 — conf
Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease.
BICS
Junren Pan, Changhong Jing, Qiankun Zuo, Martin Nieuwoudt, Shuqiang Wang
2023 J jnl
DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI.
CoRR
Qiankun Zuo, Ruiheng Li, Yi Di, Hao Tian, Changhong Jing, Xuhang Chen, Shuqiang Wang
2023 — conf
Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCI.
BI
Qiankun Zuo, Yanfei Zhu, Libin Lu, Zhi Yang, Yuhui Li, Ning Zhang
2023 J jnl
Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI.
CoRR
Qiankun Zuo, Yanfei Zhu, Libin Lu, Zhi Yang, Yuhui Li, Ning Zhang
2023 J jnl
Hemisphere-Separated Cross-Connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis.
IEEE Access
Qiankun Zuo, Hao Tian, Ruiheng Li, Jia Guo, Jianmin Hu, Long Tang, Yi Di, Heng Kong
2023 J jnl
Multi-resolution Spatiotemporal Enhanced Transformer Denoising with Functional Diffusive GANs for Constructing Brain Effective Connectivity in MCI analysis.
CoRR
Qiankun Zuo, Chi-Man Pun, Yudong Zhang, Hongfei Wang, Jin Hong
2022 — conf
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction.
PRCV (2)
Yongcheng Zong, Changhong Jing, Qiankun Zuo
2021 J jnl
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease.
CoRR
Qiankun Zuo, Baiying Lei, Shuqiang Wang, Yong Liu, Bingchuan Wang, Yanyan Shen
2021 — conf
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction.
PRCV (3)
Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang
2021 J jnl
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction.
CoRR
Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang