| Congestion recognition for hybrid urban road systems via digraph convolutional network X Han, G Shen, X Yang, X Kong Transportation Research Part C: Emerging Technologies 121, 102877, 2020 | 46 | 2020 |
| Traffic speed prediction: An attention-based method D Liu, L Tang, G Shen, X Han Sensors 19 (18), 3836, 2019 | 32 | 2019 |
| Spatio-temporal digraph convolutional network-based taxi pickup location recommendation Y Zhang, G Shen, X Han, W Wang, X Kong IEEE Transactions on Industrial Informatics 19 (1), 394-403, 2022 | 18 | 2022 |
| An attention-based digraph convolution network enabled framework for congestion recognition in three-dimensional road networks G Shen, X Han, KS Chin, X Kong IEEE Transactions on Intelligent Transportation Systems 23 (9), 14413-14426, 2021 | 17 | 2021 |
| Kan4tsf: Are kan and kan-based models effective for time series forecasting? X Han, X Zhang, Y Wu, Z Zhang, Z Wu arXiv preprint arXiv:2408.11306, 2024 | 16 | 2024 |
| Research on intelligent analysis and depth fusion of multi-source traffic data G Shen, X Han, J Zhou, Z Ruan, Q Pan IEEE Access 6, 59329-59335, 2018 | 13 | 2018 |
| Spatiotemporal Virtual Graph Convolution Network for Key Origin‐Destination Flow Prediction in Metro System J Yang, X Han, T Ye, Y Tang, W Feng, A Wang, H Zuo, Q Zhang Mathematical Problems in Engineering 2022 (1), 5622913, 2022 | 12 | 2022 |
| Mitigating action hysteresis in traffic signal control with traffic predictive reinforcement learning X Han, X Zhao, L Zhang, W Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| SPDNet: A Real‐Time Passenger Detection Method Based on Attention Mechanism in Subway Station Scenes J Yang, Y Zheng, KP Yan, HJ Liu, K Jin, WL Fan, X Han, YW Zhang Wireless Communications and Mobile Computing 2021 (1), 7978644, 2021 | 8 | 2021 |
| Prediction of inbound and outbound passenger flow in urban rail transit based on spatio-temporal attention residual network J Yang, X Dong, H Yang, X Han, Y Wang, J Chen Applied Sciences 13 (18), 10266, 2023 | 4 | 2023 |
| Deep investment behavior profiling by recurrent neural network in P2P lending X Han, L Wang, H Huang | 4 | 2017 |
| Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning X Han, C Zhu, X Hu, C Qin, X Zhao, H Zhu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 3 | 2024 |
| G3: an effective and adaptive framework for worldwide geolocalization using large multi-modality models P Jia, Y Liu, X Li, Y Wang, Y Du, X Han, X Wei, S Wang, D Yin, X Zhao arXiv preprint arXiv:2405.14702, 2024 | 3 | 2024 |
| Knowledge-based multiple relations modeling for traffic forecasting X Han, X Zhang, Y Wu, Z Zhang, T Zhang, Y Wang IEEE Transactions on Intelligent Transportation Systems, 2024 | 3 | 2024 |
| Kddc: Knowledge-driven disentangled causal metric learning for pre-travel out-of-town recommendation Y Liu, G Shen, C Cui, Z Zhao, X Han, J Du, X Zhao, X Kong Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 2 | 2024 |
| Deep Trajectory Recovery Approach of Offline Vehicles in the Internet of Vehicles X Han, DX Zhou, G Shen, X Kong, Y Zhao IEEE Transactions on Vehicular Technology, 2024 | 2 | 2024 |
| Optimization of Metro Trains Operation Plans Based on Passenger Flow Data Analysis J Yang, Y Tang, T Ye, X Han, M Gong Mathematical Problems in Engineering 2022 (1), 7494127, 2022 | 2 | 2022 |
| Event Traffic Forecasting with Sparse Multimodal Data X Han, Z Zhang, Y Wu, X Zhang, Z Wu Proceedings of the 32nd ACM International Conference on Multimedia, 8855-8864, 2024 | 1 | 2024 |
| Traffic data imputation via knowledge graph-enhanced generative adversarial network Y Liu, G Shen, N Liu, X Han, Z Xu, J Zhou, X Kong PeerJ Computer Science 10, e2408, 2024 | | 2024 |
| TGGS network: A multi-task learning network for gradient-guided knowledge sharing Y Huang, X Han, M Chen, Z Pan Knowledge-Based Systems 301, 112254, 2024 | | 2024 |
Xiangjie Kong (孔祥杰)Professor of Computer Science, Zhejiang University of TechnologyCorreu electrònic verificat a ieee.org
