| GSTNet: Global spatial-temporal network for traffic flow prediction. S Fang, Q Zhang, G Meng, S Xiang, C Pan IJCAI, 2286-2293, 2019 | 169 | 2019 |
| Meta graph transformer: A novel framework for spatial–temporal traffic prediction X Ye, S Fang, F Sun, C Zhang, S Xiang Neurocomputing 491, 544-563, 2022 | 57 | 2022 |
| Ms-net: Multi-source spatio-temporal network for traffic flow prediction S Fang, V Prinet, J Chang, M Werman, C Zhang, S Xiang, C Pan IEEE Transactions on Intelligent Transportation Systems 23 (7), 7142-7155, 2021 | 29 | 2021 |
| Meta-MSNet: Meta-learning based multi-source data fusion for traffic flow prediction S Fang, X Pan, S Xiang, C Pan IEEE Signal Processing Letters 28, 6-10, 2020 | 29 | 2020 |
| TVGCN: Time-variant graph convolutional network for traffic forecasting Y Wang, S Fang, C Zhang, S Xiang, C Pan Neurocomputing 471, 118-129, 2022 | 28 | 2022 |
| AutoMSNet: Multi-source spatio-temporal network via automatic neural architecture search for traffic flow prediction S Fang, C Zhang, S Xiang, C Pan IEEE Transactions on Intelligent Transportation Systems 24 (3), 2827-2841, 2022 | 5 | 2022 |
| From sky to road: incorporating the satellite imagery into analysis of freight truck-related crash factors C Yu, W Hua, C Yang, S Fang, Y Li, Q Yuan Accident Analysis & Prevention 200, 107491, 2024 | 2 | 2024 |
| PreSTNet: Pre-trained Spatio-Temporal Network for traffic forecasting S Fang, W Ji, S Xiang, W Hua Information Fusion 106, 102241, 2024 | | 2024 |
Shiming XiangNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证
