Shun Zheng
Shun Zheng
Microsoft Research Asia
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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
EMNLP, 2019
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
A deep pattern diagnosis framework for distant supervision neural relation extraction
S Zheng, L Chen, L Huang, W Xu
ACL, 2019
SEEK: Segmented embedding of knowledge graphs
W Xu, S Zheng, L He, B Shao, J Yin, TY Liu
ACL, 2020
DEPTS: deep expansion learning for periodic time series forecasting
W Fan, S Zheng, X Yi, W Cao, Y Fu, J Bian, TY Liu
ICLR, 2022
A general distributed dual coordinate optimization framework for regularized loss minimization
S Zheng, J Wang, F Xia, W Xu, T Zhang
The Journal of Machine Learning Research 18 (1), 4096-4117, 2017
Efficient and effective multi-task grouping via meta learning on task combinations
X Song, S Zheng, W Cao, J Yu, J Bian
NeurIPS, 2022
Hierst: A unified hierarchical spatial-temporal framework for covid-19 trend forecasting
S Zheng, Z Gao, W Cao, J Bian, TY Liu
CIKM, 2021
Learning differential operators for interpretable time series modeling
Y Luo, C Xu, Y Liu, W Liu, S Zheng, J Bian
KDD, 2022
Revisiting the evaluation of end-to-end event extraction
S Zheng, W Cao, W Xu, J Bian
Findings of ACL, 2021
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
BIBM, 2022
Challenges of COVID-19 Case Forecasting in the US, 2020-2021
V Lopez, EY Cramer, R Pagano, JM Drake, EB O'Dea, BP Linas, T Ayer, ...
medRxiv, 2023.05. 30.23290732, 2023
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series
J Zhang, S Zheng, W Cao, J Bian, J Li
KDD, 2023
BatteryML: An Open-source platform for Machine Learning on Battery Degradation
H Zhang, X Gui, S Zheng, Z Lu, Y Li, J Bian
arXiv preprint arXiv:2310.14714, 2023
Towards Foundation Models for Learning on Tabular Data
H Zhang, X Wen, S Zheng, W Xu, J Bian
arXiv preprint arXiv:2310.07338, 2023
ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting
J Zhang, X Wen, S Zheng, J Li, J Bian
arXiv preprint arXiv:2310.07446, 2023
Harnessing Intra-and Inter-Cell Differences: A Comprehensive Approach to Precise Battery Lifespan Estimations across Conditions
H Zhang, Y Li, S Zheng, Z Lu, X Gui, W Xu, J Bian
arXiv preprint arXiv:2310.05052, 2023
Spatio-temporal graph neural network for time series prediction
S Sharma, S Iyengar, K Kapoor, S Zheng, W Cao, J Bian, ...
US Patent App. 18/046,013, 2023
UADB: Unsupervised Anomaly Detection Booster
H Ye, Z Liu, X Shen, W Cao, S Zheng, X Gui, H Zhang, Y Chang, J Bian
ICDE, 2023
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