| Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs JJQ Yu, C Markos, S Zhang IEEE Transactions on Intelligent Transportation Systems, 2021 | 56 | 2021 |
| Unsupervised Deep Learning for GPS-Based Transportation Mode Identification C Markos, JJQ Yu 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 38 | 2020 |
| Towards Crowdsourced Transportation Mode Identification: A Semi-Supervised Federated Learning Approach C Zhang, Y Zhu, C Markos, S Yu, JJQ Yu IEEE Internet of Things Journal, 2021 | 29 | 2021 |
| Autonomous Vehicle Intelligent System: Joint Ride-Sharing and Parcel Delivery Strategy S Zhang, C Markos, JJQ Yu IEEE Transactions on Intelligent Transportation Systems, 2022 | 27 | 2022 |
| FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data Y Zhu, C Markos, R Zhao, Y Zheng, JJQ Yu 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 20 | 2021 |
| Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning C Markos, JJQ Yu, RYD Xu Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 390-398, 2021 | 19 | 2021 |
| Improving Transportation Mode Identification with Limited GPS Trajectories Y Zhu, C Markos, JJQ Yu 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 15 | 2021 |
| MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data X Song, C Markos, JJQ Yu 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 11 | 2020 |
| CatETA: A Categorical Approximate Approach for Estimating Time of Arrival Y Ye, Y Zhu, C Markos, JJQ Yu IEEE Transactions on Intelligent Transportation Systems, 2022 | 10 | 2022 |
James Jianqiao Yu 余剑峤University of York在 york.ac.uk 的电子邮件经过验证
