Multi-task adversarial spatial-temporal networks for crowd flow prediction S Wang, H Miao, H Chen, Z Huang Proceedings of the 29th ACM international conference on information …, 2020 | 79 | 2020 |
Spatio-temporal knowledge transfer for urban crowd flow prediction via deep attentive adaptation networks S Wang, H Miao, J Li, J Cao IEEE Transactions on Intelligent Transportation Systems 23 (5), 4695-4705, 2021 | 58 | 2021 |
Multivariate correlation-aware spatio-temporal graph convolutional networks for multi-scale traffic prediction S Wang, M Zhang, H Miao, Z Peng, PS Yu ACM Transactions on Intelligent Systems and Technology (TIST) 13 (3), 1-22, 2022 | 52 | 2022 |
Traffic accident risk prediction via multi-view multi-task spatio-temporal networks S Wang, J Zhang, J Li, H Miao, J Cao IEEE Transactions on Knowledge and Data Engineering 35 (12), 12323-12336, 2021 | 41 | 2021 |
MBA-STNet: Bayes-enhanced discriminative multi-task learning for flow prediction H Miao, J Shen, J Cao, J Xia, S Wang IEEE Transactions on Knowledge and Data Engineering 35 (7), 7164-7177, 2022 | 39 | 2022 |
A unified replay-based continuous learning framework for spatio-temporal prediction on streaming data H Miao, Y Zhao, C Guo, B Yang, K Zheng, F Huang, J Xie, CS Jensen arXiv preprint arXiv:2404.14999, 2024 | 27 | 2024 |
Multi-Channel Pooling Graph Neural Networks J Du, S Wang, H Miao, J Zhang Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 25 | 2021 |
Autostl: Automated spatio-temporal multi-task learning Z Zhang, X Zhao, H Miao, C Zhang, H Zhao, J Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4902-4910, 2023 | 20 | 2023 |
Deep learning based origin-destination prediction via contextual information fusion H Miao, Y Fei, S Wang, F Wang, D Wen Multimedia Tools and Applications, 1-17, 2022 | 18 | 2022 |
Task assignment with federated preference learning in spatial crowdsourcing J Liu, L Deng, H Miao, Y Zhao, K Zheng Proceedings of the 31st ACM International Conference on Information …, 2022 | 15 | 2022 |
Fine-grained urban flow inference with incomplete data J Li, S Wang, J Zhang, H Miao, J Zhang, SY Philip IEEE Transactions on Knowledge and Data Engineering 35 (6), 5851-5864, 2022 | 15 | 2022 |
Mt-stnets: Multi-task spatial-temporal networks for multi-scale traffic prediction S Wang, M Zhang, H Miao, PS Yu Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 11 | 2021 |
LightTR: A Lightweight Framework for Federated Trajectory Recovery Z Liu, H Miao, Y Zhao, C Liu, K Zheng, H Li arXiv preprint arXiv:2405.03409, 2024 | 10 | 2024 |
Generative-free urban flow imputation S Wang, J Li, H Miao, J Zhang, J Zhu, J Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 9 | 2022 |
PeFAD: a parameter-efficient federated framework for time series anomaly detection R Xu, H Miao, S Wang, PS Yu, J Wang Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and …, 2024 | 7 | 2024 |
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment C Liu, Q Xu, H Miao, S Yang, L Zhang, C Long, Z Li, R Zhao arXiv preprint arXiv:2406.01638, 2024 | 7 | 2024 |
Task assignment with efficient federated preference learning in spatial crowdsourcing H Miao, X Zhong, J Liu, Y Zhao, X Zhao, W Qian, K Zheng, CS Jensen IEEE Transactions on Knowledge and Data Engineering, 2023 | 7 | 2023 |
Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking S Zhang, S Wang, X Wang, S Zhang, H Miao, J Zhu | 6 | 2022 |
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing X Zhong, H Miao, D Qiu, Y Zhao, K Zheng Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
Resisting tul attack: balancing data privacy and utility on trajectory via collaborative adversarial learning Y Lun, H Miao, J Shen, R Wang, X Wang, S Wang GeoInformatica 28 (3), 381-401, 2024 | 4 | 2024 |