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Wei Cao
Wei Cao
Microsoft Research Asia
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Title
Cited by
Cited by
Year
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
5532018
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
3522018
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
2232022
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
2172017
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
1562019
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
1392020
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
592015
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
582020
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
532016
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
462022
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
412017
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
292022
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
192022
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
182016
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
92021
IMBENS: ensemble class-imbalanced learning in python
Z Liu, J Kang, H Tong, Y Chang
arXiv preprint arXiv:2111.12776, 2021
72021
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
62021
Evaluation of individual and E NSEMBLE probabilistic forecasts of COVID-19 mortality in the US
Y Cramer Estee, K Lopez Velma, GGE Niemi Jarad, C Cegan Jeffrey, ...
medRxiv, 2021
6*2021
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
62021
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring
Y Xing, H Ye, X Zhang, W Cao, S Zheng, J Bian, Y Guo
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022
42022
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