| When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications Q Liu, X Wu, X Zhao, Y Zhu, D Xu, F Tian, Y Zheng Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 118* | 2024 |
| 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 | 69 | 2021 |
| 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, 65168-65188, 2023 | 62* | 2023 |
| 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 | 39 | 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 | 32 | 2023 |
| 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 | 32 | 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 | 31 | 2020 |
| 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 | 26 | 2022 |
| 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 | 22 | 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 | 21 | 2024 |
| 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 | 21 | 2021 |
| 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 Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 17 | 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, 22961-22977, 2023 | 17 | 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 | 15 | 2022 |
| Improving transportation mode identification with limited GPS trajectories Y Zhu, C Markos, JQ James 2021 IEEE 33rd International conference on tools with artificial …, 2021 | 15 | 2021 |
| 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 24 (8), 8236-8252, 2023 | 14 | 2023 |
| Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning K Luo, Y Zhu, W Chen, K Wang, Z Zhou, S Ruan, Y Liang IJCAI-2024, 2243--2251, 2024 | 6 | 2024 |
| Large language model empowered embedding generator for sequential recommendation Q Liu, X Wu, W Wang, Y Wang, Y Zhu, X Zhao, F Tian, Y Zheng arXiv preprint arXiv:2409.19925, 2024 | 3 | 2024 |
| UniTraj: Universal human trajectory modeling from billion-scale worldwide traces Y Zhu, JJ Yu, X Zhao, X Wei, Y Liang arXiv preprint arXiv:2411.03859, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
