| Brits: Bidirectional recurrent imputation for time series W Cao, D Wang, J Li, H Zhou, L Li, Y Li Advances in neural information processing systems 31, 2018 | 342 | 2018 |
| When will you arrive? Estimating travel time based on deep neural networks D Wang, J Zhang, W Cao, J Li, Y Zheng Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 277 | 2018 |
| DeepSD: Supply-demand prediction for online car-hailing services using deep neural networks D Wang, W Cao, J Li, J Ye 2017 IEEE 33rd international conference on data engineering (ICDE), 243-254, 2017 | 197 | 2017 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 135 | 2022 |
| Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction S Zheng, W Cao, W Xu, J Bian arXiv preprint arXiv:1904.07535, 2019 | 97 | 2019 |
| Self-paced ensemble for highly imbalanced massive data classification Z Liu, W Cao, Z Gao, J Bian, H Chen, Y Chang, TY Liu 2020 IEEE 36th international conference on data engineering (ICDE), 841-852, 2020 | 86 | 2020 |
| On top-k selection in multi-armed bandits and hidden bipartite graphs W Cao, J Li, Y Tao, Z Li Advances in Neural Information Processing Systems 28, 2015 | 52 | 2015 |
| Automatic user identification method across heterogeneous mobility data sources W Cao, Z Wu, D Wang, J Li, H Wu 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 978-989, 2016 | 47 | 2016 |
| k-regret minimizing set: Efficient algorithms and hardness W Cao, J Li, H Wang, K Wang, R Wang, R Chi-Wing Wong, W Zhan 20th International Conference on Database Theory (ICDT 2017), 2017 | 35 | 2017 |
| MESA: boost ensemble imbalanced learning with meta-sampler Z Liu, P Wei, J Jiang, W Cao, J Bian, Y Chang Advances in neural information processing systems 33, 14463-14474, 2020 | 32 | 2020 |
| Etcps: An effective and scalable traffic condition prediction system D Wang, W Cao, M Xu, J Li Database Systems for Advanced Applications: 21st International Conference …, 2016 | 16 | 2016 |
| DEPTS: deep expansion learning for periodic time series forecasting W Fan, S Zheng, X Yi, W Cao, Y Fu, J Bian, TY Liu arXiv preprint arXiv:2203.07681, 2022 | 8 | 2022 |
| Revisiting the evaluation of end-to-end event extraction S Zheng, W Cao, W Xu, J Bian Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 4 | 2021 |
| Less is more: Fast multivariate time series forecasting with light sampling-oriented mlp structures T Zhang, Y Zhang, W Cao, J Bian, X Yi, S Zheng, J Li arXiv preprint arXiv:2207.01186, 2022 | 3 | 2022 |
| Towards inter-class and intra-class imbalance in class-imbalanced learning Z Liu, P Wei, Z Wei, B Yu, J Jiang, W Cao, J Bian, Y Chang arXiv preprint arXiv:2111.12791, 2021 | 2 | 2021 |
| IMBENS: ensemble class-imbalanced learning in python Z Liu, Z Wei, E Yu, Q Huang, K Guo, B Yu, Z Cai, H Ye, W Cao, J Bian, ... arXiv preprint arXiv:2111.12776, 2021 | 2 | 2021 |
| HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting S Zheng, Z Gao, W Cao, J Bian, TY Liu Proceedings of the 30th ACM International Conference on Information …, 2021 | 2 | 2021 |
| Balanced splitting on weighted intervals W Cao, J Li, S Li, H Wang Operations Research Letters 43 (4), 396-400, 2015 | 2 | 2015 |
| Efficient and effective multi-task grouping via meta learning on task combinations X Song, S Zheng, W Cao, J Yu, J Bian Advances in Neural Information Processing Systems, 2022 | 1 | 2022 |
| Lmvp: Video predictor with leaked motion information D Wang, Y Li, W Cao, L Chen, Q Wei, L Carin arXiv preprint arXiv:1906.10101, 2019 | 1 | 2019 |
