| 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 24 (8), 8650-8666, 2022 | 29 | 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, H Wan IEEE Transactions on Knowledge and Data Engineering, 2024 | 8 | 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 | 7 | 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 | 4 | 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 | 4 | 2024 |
| TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability Y Lin, T Wei, Z Zhou, H Wen, J Hu, S Guo, Y Lin, H Wan arXiv preprint arXiv:2408.15251, 2024 | 2 | 2024 |
| An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data S Guo, T Wei, Y Huang, M Zhao, R Chen, Y Lin, Y Lin, H Wan arXiv preprint arXiv:2412.04733, 2024 | | 2024 |
| PTR: A Pre-trained Language Model for Trajectory Recovery T Wei, Y Lin, Y Lin, S Guo, J Hu, G Cong, H Wan arXiv preprint arXiv:2410.14281, 2024 | | 2024 |
Huaiyu Wan (万怀宇)Professor, Beijing Jiaotong UniversityEmail verificata su bjtu.edu.cn