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ORCIDQiankun Zuo
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2020 – today
- 2024
[j6]Qiankun Zuo, Ruiheng Li, Binghua Shi, Jin Hong
, Yanfei Zhu, Xuhang Chen, Yixian Wu, Jia Guo:
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis. Frontiers Comput. Neurosci. 18 (2024)- [j5]Hao Tian, Ruiheng Li, Yi Di, Qiankun Zuo, Jinpeng Wang:
Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities. J. Grid Comput. 22(1): 32 (2024) - [j4]Ruiheng Li, Lu Gan, Yi Di, Hao Tian, Qiankun Zuo, Yiming Luo, Xuan Wu, Haiyang Wang:
Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101963 (2024) - [j3]Junren Pan, Qiankun Zuo, Bing-Chuan Wang, C. L. Philip Chen, Baiying Lei, Shuqiang Wang:
DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease. IEEE Trans. Artif. Intell. 5(10): 5050-5063 (2024) - [j2]Qiankun Zuo, Huisi Wu, C. L. Philip Chen, Baiying Lei, Shuqiang Wang:
Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease. IEEE Trans. Cybern. 54(6): 3652-3665 (2024) - 2023
- [j1]Qiankun Zuo, Hao Tian, Ruiheng Li, Jia Guo, Jianmin Hu, Long Tang, Yi Di, Heng Kong:
Hemisphere-Separated Cross-Connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis. IEEE Access 11: 48493-48505 (2023) - [c4]Junren Pan, Changhong Jing, Qiankun Zuo, Martin Nieuwoudt, Shuqiang Wang:
Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease. BICS 2023: 82-92 - [c3]Qiankun Zuo, Yanfei Zhu, Libin Lu, Zhi Yang, Yuhui Li, Ning Zhang:
Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCI. BI 2023: 3-13 - [i8]Qiankun Zuo, Chi-Man Pun, Yudong Zhang, Hongfei Wang, Jin Hong:
Multi-resolution Spatiotemporal Enhanced Transformer Denoising with Functional Diffusive GANs for Constructing Brain Effective Connectivity in MCI analysis. CoRR abs/2305.10754 (2023) - [i7]Qiankun Zuo, Baiying Lei, Ning Zhong, Yi Pan, Shuqiang Wang:
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI. CoRR abs/2305.14404 (2023) - [i6]Qiankun Zuo, Yanfei Zhu, Libin Lu, Zhi Yang, Yuhui Li, Ning Zhang:
Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI. CoRR abs/2306.09629 (2023) - [i5]Qiankun Zuo, Ruiheng Li, Yi Di, Hao Tian, Changhong Jing, Xuhang Chen, Shuqiang Wang:
DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI. CoRR abs/2309.16205 (2023) - [i4]Qiankun Zuo, Junren Pan, Shuqiang Wang:
Alzheimer's Disease Prediction via Brain Structural-Functional Deep Fusing Network. CoRR abs/2309.16206 (2023) - [i3]Qiankun Zuo, Ling Chen, Shuqiang Wang:
Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis. CoRR abs/2312.09022 (2023) - 2022
- [c2]Yongcheng Zong, Changhong Jing, Qiankun Zuo:
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction. PRCV (2) 2022: 286-297 - 2021
- [c1]Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. PRCV (3) 2021: 479-490 - [i2]Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. CoRR abs/2107.09928 (2021) - [i1]Qiankun Zuo, Baiying Lei, Shuqiang Wang, Yong Liu, Bingchuan Wang, Yanyan Shen:
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease. CoRR abs/2110.09302 (2021)
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