GSTNet: Global spatial-temporal network for traffic flow prediction. S Fang, Q Zhang, G Meng, S Xiang, C Pan IJCAI, 2286-2293, 2019 | 200 | 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 | 91 | 2022 |
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 | 46 | 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 | 42 | 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 | 41 | 2021 |
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 | 8 | 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 | 7 | 2024 |
TripChain2RecDeepSurv: A novel framework to predict transit users’ lifecycle behavior status transitions for user management C Yu, H Lin, W Dong, S Fang, Q Yuan, C Yang Transportation Research Part C: Emerging Technologies 167, 104818, 2024 | 5 | 2024 |
PreSTNet: Pre-trained spatio-temporal network for traffic forecasting S Fang, W Ji, S Xiang, W Hua Information Fusion 106, 102241, 2024 | 4 | 2024 |
Revisiting Spatio-Temporal Forecasting: Feature Propagation Carry More Weights Than How They Do S Fang, H Liu, C Yu, T Xie, W Hua 2024 IEEE 27th International Conference on Intelligent Transportation …, 2024 | | 2024 |