Wei Cao
Wei Cao
Microsoft Research Asia
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Balanced splitting on weighted intervals
W Cao, J Li, S Li, H Wang
Operations Research Letters 43 (4), 396-400, 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
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
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