Qiankun Zuo

According to our database, Qiankun Zuo authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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