| 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 | 660 | 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 | 381 | 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 | 224 | 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 | 205 | 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 | 185 | 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 | 175 | 2020 |
| 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 | 106 | 2022 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 91 | 2021 |
| 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 | 76 | 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 | 62 | 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 | 52 | 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 | 44 | 2022 |
| 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 | 40 | 2017 |
| 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 35, 37647-37659, 2022 | 28 | 2022 |
| 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 | 19 | 2016 |
| IMBENS: Ensemble class-imbalanced learning in Python Z Liu, J Kang, H Tong, Y Chang arXiv preprint arXiv:2111.12776, 2021 | 12 | 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 | 12 | 2021 |
| OpenFE: automated feature generation with expert-level performance T Zhang, ZA Zhang, Z Fan, H Luo, F Liu, Q Liu, W Cao, L Jian International Conference on Machine Learning, 41880-41901, 2023 | 10 | 2023 |
| Handling 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 | 9 | 2021 |
| Warpformer: A multi-scale modeling approach for irregular clinical time series J Zhang, S Zheng, W Cao, J Bian, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 8 | 2023 |
