1–15 von 15 Ergebnissen
|

    Contrastive learning for traffic flow forecasting based on multi graph convolution network

    Freier Zugriff
    Guo, Kan / Tian, Daxin / Hu, Yongli et al. | Wiley | 2024

    Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting

    Freier Zugriff
    Hu, Yongli / Peng, Ting / Guo, Kan et al. | Wiley | 2023

    Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks

    Wang, Jingcheng / Zhang, Yong / Lv, Yisheng et al. | IEEE | 2022

    Traffic forecasting with missing data via low rank dynamic mode decomposition of tensor

    Freier Zugriff
    Zhang, Xinyu / Zhang, Yong / Wei, Xiulan et al. | Wiley | 2022

    Spatiotemporal traffic data imputation via tensorial weighted Schatten‐p norm minimization

    Freier Zugriff
    Wang, Shaofan / Zhao, Yongbo / Zhang, Yong et al. | Wiley | 2022

    Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation

    Huo, Guangyu / Zhang, Yong / Wang, Boyue et al. | IEEE | 2022

    Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework

    Wang, Jingcheng / Zhang, Yong / Wang, Lixun et al. | IEEE | 2022

    Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction

    Sun, Yanfeng / Jiang, Xiangheng / Hu, Yongli et al. | IEEE | 2022

    Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks

    Wang, Jingcheng / Zhang, Yong / Wei, Yun et al. | IEEE | 2021

    A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction

    Yu, Yadong / Zhang, Yong / Qian, Sean et al. | IEEE | 2021

    Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data

    Zhao, Xia / Zhang, Yong / Hu, Yongli et al. | IEEE | 2021

    Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

    Guo, Kan / Hu, Yongli / Qian, Zhen et al. | IEEE | 2021