Qiankun Zuo - RankMe

33 papers Journal 28Unranked 5

Year	Rank	Type	Title / 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