| Dynamic graph convolutional recurrent imputation network for spatiotemporal traffic missing data X Kong, W Zhou, G Shen, W Zhang, N Liu, Y Yang Knowledge-Based Systems 261, 110188, 2023 | 74 | 2023 |
| Bidirectional spatial–temporal traffic data imputation via graph attention recurrent neural network G Shen, W Zhou, W Zhang, N Liu, Z Liu, X Kong Neurocomputing 531, 151-162, 2023 | 34 | 2023 |
| A Higher‐Order Motif‐Based Spatiotemporal Graph Imputation Approach for Transportation Networks D Zhu, G Shen, J Chen, W Zhou, X Kong Wireless Communications and Mobile Computing 2022 (1), 1702170, 2022 | 16 | 2022 |
| Traffic Flow Imputation Based on Multi-Perspective Spatiotemporal Generative Adversarial Networks G Shen, N Liu, Y Liu, W Zhou, X Kong Proceedings of CECNet 2022, 62-73, 2022 | 4 | 2022 |
| A comprehensive survey on traffic missing data imputation Y Zhang, X Kong, W Zhou, J Liu, Y Fu, G Shen IEEE Transactions on Intelligent Transportation Systems, 2024 | 1 | 2024 |
Xiangjie Kong (孔祥杰)Professor of Computer Science, Zhejiang University of Technology確認したメール アドレス: ieee.org