| Transferability improvement in short-term traffic prediction using stacked LSTM network J Li, F Guo, A Sivakumar, Y Dong, R Krishnan Transportation Research Part C: Emerging Technologies 124, 102977, 2021 | 91 | 2021 |
| Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management J Liu, J Li, Y Chen, S Lian, J Zeng, M Geng, S Zheng, Y Dong, Y He, ... Applied Energy 331, 120407, 2023 | 54 | 2023 |
| A physics-informed Transformer model for vehicle trajectory prediction on highways M Geng, J Li, Y Xia, XM Chen Transportation research part C: emerging technologies 154, 104272, 2023 | 34 | 2023 |
| Network-scale traffic prediction via knowledge transfer and regional MFD analysis J Li, N Xie, K Zhang, F Guo, S Hu, XM Chen Transportation research part C: emerging technologies 141, 103719, 2022 | 27 | 2022 |
| High time-resolution queue profile estimation at signalized intersections based on extended Kalman filtering S Hu, Q Zhou, J Li, Y Wang, C Roncoli, L Zhang, L Lehe IEEE Transactions on Intelligent Transportation Systems 23 (11), 21274-21290, 2022 | 17 | 2022 |
| Short-term traffic prediction with deep neural networks and adaptive transfer learning J Li, F Guo, Y Wang, L Zhang, X Na, S Hu 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 13 | 2020 |
| Adaptive and simultaneous trajectory prediction for heterogeneous agents via transferable hierarchical transformer network M Geng, J Li, C Li, N Xie, X Chen, DH Lee IEEE Transactions on Intelligent Transportation Systems 24 (10), 11479-11492, 2023 | 8 | 2023 |
| A domain adaptation framework for short-term traffic prediction J Li, K Zhang, L Shen, Z Wang, F Guo, P Angeloudis, XM Chen, S Hu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 6 | 2021 |
| Short-Term Metro Origin-Destination Passenger Flow Prediction via Spatio-Temporal Dynamic Attentive Multi-Hypergraph Network L Shen, J Li, Y Chen, C Li, X Chen, DH Lee IEEE Transactions on Intelligent Transportation Systems, 2024 | 3 | 2024 |
| Understanding causal effects of ride-sourcing subsidy: A novel generative adversarial networks approach N Xie, W Tang, J Zhu, J Li, XM Chen Transportation Research Part C: Emerging Technologies 157, 104371, 2023 | 2 | 2023 |
| Short-term Traffic-state Prediction of Urban Road Networks Based on the Fusion of a Link-transmission Model and Deep Learning C Xiqun, C Zhen, S Loutao, L Junyi China Journal of Highway and Transport 34 (12), 203-216, 2021 | 2 | 2021 |
| Transfer learning in short-term traffic flow prediction with deep learning tools J Li, F Guo, A Sivakumar, Y Dong 99th Annual Meeting of Transportation Research Board, 2020 | 2 | 2020 |
| Physics-Guided Multi-Source Transfer Learning for Network-Scale Traffic Flow Prediction J Li, C Liao, S Hu, X Chen, DH Lee IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Short-Term Traffic Prediction with Balanced Domain Adaptation K Zhang, J Li, Q Zhou, S Hu CICTP 2022, 699-711, 2022 | | 2022 |
Xiqun (Michael) ChenDirector of Institute of Intelligent Transportation SystemsZweryfikowany adres z zju.edu.cn