| 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, 46885-46902, 2023 | 56 | 2023 |
| 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 | 39 | 2023 |
| An observed value consistent diffusion model for imputing missing values in multivariate time series X Wang, H Zhang, P Wang, Y Zhang, B Wang, Z Zhou, Y Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 37 | 2023 |
| Predicting collective human mobility via countering spatiotemporal heterogeneity Z Zhou, K Yang, Y Liang, B Wang, H Chen, Y Wang IEEE Transactions on Mobile Computing 23 (5), 4723-4738, 2023 | 22 | 2023 |
| Knowledge expansion and consolidation for continual traffic prediction with expanding graphs B Wang, Y Zhang, J Shi, P Wang, X Wang, L Bai, Y Wang IEEE Transactions on Intelligent Transportation Systems 24 (7), 7190-7201, 2023 | 21 | 2023 |
| Towards dynamic spatial-temporal graph learning: A decoupled perspective B Wang, P Wang, Y Zhang, X Wang, Z Zhou, L Bai, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9089-9097, 2024 | 17 | 2024 |
| 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 | 17 | 2022 |
| Stone: A spatio-temporal ood learning framework kills both spatial and temporal shifts B Wang, J Ma, P Wang, X Wang, Y Zhang, Z Zhou, Y Wang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 11 | 2024 |
| Kill two birds with one stone: Rethinking data augmentation for deep long-tailed learning B Wang, P Wang, W Xu, X Wang, Y Zhang, K Wang, Y Wang The Twelfth International Conference on Learning Representations, 2024 | 8 | 2024 |
| Adaptive and interactive multi-level spatio-temporal network for traffic forecasting Y Zhang, P Wang, B Wang, X Wang, Z Zhao, Z Zhou, L Bai, Y Wang IEEE Transactions on Intelligent Transportation Systems, 2024 | 6 | 2024 |
| Latent gaussian processes based graph learning for urban traffic prediction X Wang, P Wang, B Wang, Y Zhang, Z Zhou, L Bai, Y Wang IEEE Transactions on Vehicular Technology 73 (1), 282-294, 2023 | 6 | 2023 |
| Condition-guided urban traffic co-prediction with multiple sparse surveillance data B Wang, P Wang, Y Zhang, X Wang, Z Zhou, Y Wang IEEE Transactions on Vehicular Technology, 2024 | 5 | 2024 |
| Fusiontransnet for smart urban mobility: Spatiotemporal traffic forecasting through multimodal network integration B Wang, Y Leng, G Wang, Y Wang arXiv preprint arXiv:2405.05786, 2024 | 5 | 2024 |
| Long-tailed time series classification via feature space rebalancing P Wang, X Wang, B Wang, Y Zhang, L Bai, Y Wang International Conference on Database Systems for Advanced Applications, 151-166, 2023 | 5 | 2023 |
| When imbalance meets imbalance: Structure-driven learning for imbalanced graph classification W Xu, P Wang, Z Zhao, B Wang, X Wang, Y Wang Proceedings of the ACM Web Conference 2024, 905-913, 2024 | 4 | 2024 |
| Towards learning in grey spatiotemporal systems: A prophet to non-consecutive spatiotemporal dynamics Z Zhou, K Yang, W Sun, B Wang, M Zhou, Y Zong, Y Wang Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 4 | 2023 |
| Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning Y Zhang, X Wang, P Wang, B Wang, Z Zhou, Y Wang IEEE Transactions on Mobile Computing, 2024 | 3 | 2024 |
| Graph-free learning in graph-structured data: A more efficient and accurate spatiotemporal learning perspective X Wang, P Gu, P Wang, B Wang, Z Zhou, L Bai, Y Wang arXiv preprint arXiv:2301.11742, 2023 | 3 | 2023 |
| Countering modal redundancy and heterogeneity: A self-correcting multimodal fusion P Wang, X Wang, B Wang, Y Zhang, L Bai, Y Wang 2022 IEEE International Conference on Data Mining (ICDM), 518-527, 2022 | 3 | 2022 |
| Make bricks with a little straw: Large-scale spatio-temporal graph learning with restricted gpu-memory capacity B Wang, P Wang, Z Zhou, Z Zhao, W Xu, Y Wang Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 1 | 2024 |
