| Semi-supervised federated learning for travel mode identification from GPS trajectories Y Zhu, Y Liu, JQ James, X Yuan IEEE Transactions on Intelligent Transportation Systems 23 (3), 2380-2391, 2021 | 53 | 2021 |
| Resource-constrained federated edge learning with heterogeneous data: Formulation and analysis Y Liu, Y Zhu, JQ James IEEE Transactions on Network Science and Engineering 9 (5), 3166-3178, 2021 | 31 | 2021 |
| Robust federated learning approach for travel mode identification from non-IID GPS trajectories Y Zhu, S Zhang, Y Liu, D Niyato, JQ James 2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020 | 26 | 2020 |
| Toward crowdsourced transportation mode identification: A semisupervised federated learning approach C Zhang, Y Zhu, C Markos, S Yu, JQ James IEEE Internet of Things Journal 9 (14), 11868-11882, 2021 | 22 | 2021 |
| Cross-area travel time uncertainty estimation from trajectory data: a federated learning approach Y Zhu, Y Ye, Y Liu, JQ James IEEE Transactions on Intelligent Transportation Systems 23 (12), 24966-24978, 2022 | 18 | 2022 |
| FedOVA: one-vs-all training method for federated learning with non-IID data Y Zhu, C Markos, R Zhao, Y Zheng, JQ James 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 17 | 2021 |
| Moelora: An moe-based parameter efficient fine-tuning method for multi-task medical applications Q Liu, X Wu, X Zhao, Y Zhu, D Xu, F Tian, Y Zheng arXiv preprint arXiv:2310.18339, 2023 | 16 | 2023 |
| Improving transportation mode identification with limited GPS trajectories Y Zhu, C Markos, JQ James 2021 IEEE 33rd International conference on tools with artificial …, 2021 | 14 | 2021 |
| Autodenoise: Automatic data instance denoising for recommendations W Lin, X Zhao, Y Wang, Y Zhu, W Wang Proceedings of the ACM Web Conference 2023, 1003-1011, 2023 | 11 | 2023 |
| DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model Y Zhu, Y Ye, S Zhang, X Zhao, J Yu Advances in Neural Information Processing Systems 36, 2023 | 10* | 2023 |
| Cateta: A categorical approximate approach for estimating time of arrival Y Ye, Y Zhu, C Markos, JQ James IEEE Transactions on Intelligent Transportation Systems 23 (12), 24389-24400, 2022 | 7 | 2022 |
| Traffic prediction with transfer learning: A mutual information-based approach Y Huang, X Song, Y Zhu, S Zhang, JQ James IEEE Transactions on Intelligent Transportation Systems, 2023 | 4 | 2023 |
| Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond W Chen, Y Liang, Y Zhu, Y Chang, K Luo, H Wen, L Li, Y Yu, Q Wen, ... arXiv preprint arXiv:2403.14151, 2024 | 2 | 2024 |
| SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis Y Zhu, Y Ye, Y Wu, X Zhao, J Yu Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Large Language Model Distilling Medication Recommendation Model Q Liu, X Wu, X Zhao, Y Zhu, Z Zhang, F Tian, Y Zheng arXiv preprint arXiv:2402.02803, 2024 | 1 | 2024 |
| ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model Y Zhu, JJ Yu, X Zhao, Q Liu, Y Ye, W Chen, Z Zhang, X Wei, Y Liang arXiv preprint arXiv:2404.15380, 2024 | | 2024 |
| Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning K Luo, Y Zhu, W Chen, K Wang, Z Zhou, S Ruan, Y Liang arXiv preprint arXiv:2404.14073, 2024 | | 2024 |
| Enhancing Traffic Prediction with Learnable Filter Module Y Zhu, Y Ye, X Zhao, JJQ Yu arXiv preprint arXiv:2310.16063, 2023 | | 2023 |
| Data-Driven Methods for Travel Time Estimation: A Survey Z Zheng, Y Ye, Y Zhu, S Zhang, JQ James 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
