| Transfer learning in traffic prediction with graph neural networks Y Huang, X Song, S Zhang, JQ James 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 31 | 2021 |
| Efficient and effective multi-task grouping via meta learning on task combinations X Song, S Zheng, W Cao, J Yu, J Bian NeurIPS, 2022 | 29 | 2022 |
| Traffic Prediction With Missing Data: A Multi-Task Learning Approach A Wang, Y Ye, X Song, S Zhang, JQ James IEEE Transactions on Intelligent Transportation Systems 24 (4), 4189-4202, 2023 | 25 | 2023 |
| Learn travel time distribution with graph deep learning and generative adversarial network X Song, C Zhang, JQ James 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 18 | 2021 |
| Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel C Zhang, Q Zhang, S Yu, JQ James, X Song IEEE Transactions on Computational Social Systems 8 (3), 754-767, 2021 | 15 | 2021 |
| Multimix: A multi-task deep learning approach for travel mode identification with few gps data X Song, C Markos, JQ James 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 11 | 2020 |
| TSTNet: a sequence to sequence transformer network for spatial-temporal traffic prediction X Song, Y Wu, C Zhang Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 10 | 2021 |
| Traffic Prediction with Transfer Learning: A Mutual Information-based Approach Y Huang, X Song, Y Zhu, S Zhang, JJQ Yu IEEE Transactions on Intelligent Transportation Systems, 2023 | 8 | 2023 |
| PTaRL: Prototype-based Tabular Representation Learning via Space Calibration H Ye, W Fan, X Song, S Zheng, H Zhao, D dan Guo, Y Chang ICLR, 2024 | 7 | 2024 |
| The CityLearn Challenge 2022: Overview, Results, and Lessons Learned K Nweye, Z Nagy, S Mohanty, D Chakraborty, S Sankaranarayanan, ... NeurIPS 2022 Competition Track, 85-103, 2022 | 4 | 2022 |
| TINet: multi-dimensional traffic data imputation via transformer network X Song, Y Ye, JJQ Yu International Conference on Artificial Neural Networks, 306-317, 2021 | 2 | 2021 |
| GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation Y Huang, X Song, S Zhang, L Li, JJ Yu IEEE Internet of Things Journal, 2024 | | 2024 |
| Boosting Protein Language Models with Negative Sample Mining Y Xu, X Zhao, X Song, B Wang, T Yu ECML-PKDD, 2024 | | 2024 |
James Jianqiao Yu 余剑峤University of York在 york.ac.uk 的电子邮件经过验证
