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AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：173/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：275/35  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 14
作者:  Fang, Shen;  Prinet, Veronique;  Chang, Jianlong;  Werman, Michael;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：254/0  |  提交时间：2022/01/27
Feature extraction  Convolution  Predictive models  Data models  Correlation  Roads  Kernel  Graph convolution  deep attention mechanism  traffic network  traffic flow prediction  artificial intelligence  deep learning  
Kernel-Weighted Graph Convolutional Network: A Deep Learning Approach for Traffic Forecasting 会议论文
, Beijing, China, 2018-08
作者:  Zhang Qi;  Jin Qizhao;  Chang Jianlong;  Xiang Shiming;  Pan Chunhong
Adobe PDF(4041Kb)  |  收藏  |  浏览/下载：210/42  |  提交时间：2021/05/31
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：495/115  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes