1–20 of 36 hits
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    Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting

    Miao, Zhuangzhuang / Zhang, Yong / Ren, Hao et al. | IEEE | 2024

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

    Free access
    Guo, Kan / Tian, Daxin / Hu, Yongli et al. | Wiley | 2024

    Real‐time passenger flow anomaly detection in metro system

    Free access
    Wei, Xiulan / Zhang, Yong / Zhang, Xinyu et al. | Wiley | 2023

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

    Free access
    Hu, Yongli / Peng, Ting / Guo, Kan et al. | Wiley | 2023

    Vehicle control delay prediction method based on hypergraph model

    Free access
    YIN BAOCAI / HUANG SHIYU / WANG SHAOFAN | European Patent Office | 2022

    TCSA-Net: A Temporal-Context-Based Self-Attention Network for Next Location Prediction

    Sun, Guiming / Qi, Heng / Shen, Yanming et al. | IEEE | 2022

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

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

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

    Free access
    Wang, Shaofan / Zhao, Yongbo / Zhang, Yong et al. | Wiley | 2022

    Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks

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

    Dynamic multi-graph convolutional network traffic flow prediction method based on graph transformation

    Free access
    HU YONGLI / PENG TING / GUO KAN et al. | European Patent Office | 2022

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

    Free access
    Zhang, Xinyu / Zhang, Yong / Wei, Xiulan et al. | Wiley | 2022

    Traffic prediction method based on dual dynamic space-time diagram convolution

    Free access
    SUN YANFENG / JIANG XIANGHENG / HU YONGLI et al. | European Patent Office | 2022

    Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework

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

    Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions

    Yin, Xueyan / Wu, Genze / Wei, Jinze et al. | IEEE | 2022

    A Review of Personalized Health Navigation for Drivers

    Mou, Luntian / Zhao, Yiyuan / Zhou, Chao et al. | IEEE | 2022

    Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction

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

    Metropolitan area traffic flow prediction method based on knowledge graph and depth space-time convolution

    Free access
    LIU XUELI / YIN BAOCAI / GAO WEN | European Patent Office | 2021