| 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 | 67 | 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 | 39 | 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 | 35 | 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 | 24 | 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, 2022 | 23 | 2022 |
| Multi-Channel Pooling Graph Neural Networks J Du, S Wang, H Miao, J Zhang Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 21 | 2021 |
| 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 | 14 | 2022 |
| 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 | 10 | 2023 |
| 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 | 10 | 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 | 10 | 2021 |
| 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 | 9 | 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 | 6 | 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 | 5 | 2022 |
| Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction H Miao, S Wang, M Zhang, D Guo, F Sun, F Yang arXiv preprint arXiv:2404.15034, 2024 | 2 | 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 | 2 | 2023 |
| Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking S Zhang, S Wang, X Wang, S Zhang, H Miao, J Zhu | 2 | 2022 |
| Recursive LSTM with shift embedding for online user-item interaction prediction C Yin, S Wang, H Miao 2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 10-12, 2020 | 2 | 2020 |
| 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, 1-21, 2023 | | 2023 |
| 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 | | 2023 |
Senzhang Wang（王森章）Professor, Central South UniversityDirección de correo verificada de csu.edu.cn
