Spatial-temporal position-aware graph convolution networks for traffic flow forecasting Y Zhao, Y Lin, H Wen, T Wei, X Jin, H Wan IEEE Transactions on Intelligent Transportation Systems, 2022 | 9 | 2022 |
Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation T Wei, Y Lin, S Guo, Y Lin, Y Huang, C Xiang, Y Bai, M Ya, H Wan arXiv preprint arXiv:2402.07369, 2024 | 2 | 2024 |
Spatial–temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecasting X Jin, J Wang, S Guo, T Wei, Y Zhao, Y Lin, H Wan Expert Systems with Applications 238, 122143, 2024 | 1 | 2024 |
Micro-Macro Spatial-Temporal Graph-Based Encoder-Decoder for Map-Constrained Trajectory Recovery T Wei, Y Lin, Y Lin, S Guo, L Zhang, H Wan IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Inductive and adaptive graph convolution networks equipped with constraint task for spatial–temporal traffic data kriging T Wei, Y Lin, S Guo, Y Lin, Y Zhao, X Jin, Z Wu, H Wan Knowledge-Based Systems 284, 111325, 2024 | | 2024 |