| RiskOracle: A minute-level citywide traffic accident forecasting framework Z Zhou, Y Wang, X Xie, L Chen, H Liu Proceedings of the AAAI conference on artificial intelligence 34 (01), 1258-1265, 2020 | 108 | 2020 |
| Foresee urban sparse traffic accidents: A spatiotemporal multi-granularity perspective Z Zhou, Y Wang, X Xie, L Chen, C Zhu IEEE Transactions on Knowledge and Data Engineering 34 (8), 3786-3799, 2020 | 61 | 2020 |
| Deciphering urban traffic impacts on air quality by deep learning and emission inventory W Du, L Chen, H Wang, Z Shan, Z Zhou, W Li, Y Wang Journal of environmental sciences 124, 745-757, 2023 | 29 | 2023 |
| Attention based stack resnet for citywide traffic accident prediction Z Zhou 2019 20th IEEE International Conference on Mobile Data Management (MDM), 369-370, 2019 | 22 | 2019 |
| An integrated model for urban subregion house price forecasting: A multi-source data perspective C Ge, Y Wang, X Xie, H Liu, Z Zhou 2019 IEEE International Conference on Data Mining (ICDM), 1054-1059, 2019 | 18 | 2019 |
| Deciphering spatio-temporal graph forecasting: A causal lens and treatment Y Xia, Y Liang, H Wen, X Liu, K Wang, Z Zhou, R Zimmermann Advances in Neural Information Processing Systems 36, 2024 | 17 | 2024 |
| Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning Z Zhou, Q Huang, K Yang, K Wang, X Wang, Y Zhang, Y Liang, Y Wang | 14 | 2023 |
| Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning Z Zhou, Q Huang, K Yang, K Wang, X Wang, Y Zhang, Y Liang, Y Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 14 | 2023 |
| Stuanet: Understanding uncertainty in spatiotemporal collective human mobility Z Zhou, Y Wang, X Xie, L Qiao, Y Li Proceedings of the Web Conference 2021, 1868-1879, 2021 | 13 | 2021 |
| Joint gated co-attention based multi-modal networks for subregion house price prediction P Wang, C Ge, Z Zhou, X Wang, Y Li, Y Wang IEEE Transactions on Knowledge and Data Engineering 35 (2), 1667-1680, 2021 | 12 | 2021 |
| TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories? K Shao, Y Wang, Z Zhou, X Xie, G Wang 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2189-2194, 2021 | 11 | 2021 |
| Pattern expansion and consolidation on evolving graphs for continual traffic prediction B Wang, Y Zhang, X Wang, P Wang, Z Zhou, L Bai, Y Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 10 | 2023 |
| Inferring intersection traffic patterns with sparse video surveillance information: An st-gan method P Wang, C Zhu, X Wang, Z Zhou, G Wang, Y Wang IEEE Transactions on Vehicular Technology 71 (9), 9840-9852, 2022 | 10 | 2022 |
| CMT-Net: A mutual transition aware framework for taxicab pick-ups and drop-offs co-prediction Y Zhang, B Wang, Z Shan, Z Zhou, Y Wang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 10 | 2022 |
| Large-scale intelligent taxicab scheduling: A distributed and future-aware approach Y Wang, Z Zhou, K Liu, X Xie, W Li IEEE Transactions on Vehicular Technology 69 (8), 8176-8191, 2020 | 10 | 2020 |
| Greto: remedying dynamic graph topology-task discordance via target homophily Z Zhou, Q Huang, G Lin, K Yang, L Bai, Y Wang The eleventh international conference on learning representations, 2022 | 9 | 2022 |
| Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model H Wu, Y Liang, W Xiong, Z Zhou, W Huang, S Wang, K Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15906 …, 2024 | 8 | 2024 |
| A2DJP: A two graph-based component fused learning framework for urban anomaly distribution and duration joint-prediction K Wang, Z Zhou, X Wang, P Wang, Q Fang, Y Wang IEEE Transactions on Knowledge and Data Engineering, 2022 | 8 | 2022 |
| Crossgnn: Confronting noisy multivariate time series via cross interaction refinement Q Huang, L Shen, R Zhang, S Ding, B Wang, Z Zhou, Y Wang Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Estimation of urban travel time with sparse traffic surveillance data K Shao, K Wang, L Chen, Z Zhou Proceedings of the 2020 4th high performance computing and cluster …, 2020 | 6 | 2020 |
