| 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 | 196 | 2022 |
| Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction S Zheng, W Cao, W Xu, J Bian EMNLP, 2019 | 143 | 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 | 31 | 2022 |
| A deep pattern diagnosis framework for distant supervision neural relation extraction S Zheng, L Chen, L Huang, W Xu ACL, 2019 | 30* | 2019 |
| SEEK: Segmented embedding of knowledge graphs W Xu, S Zheng, L He, B Shao, J Yin, TY Liu ACL, 2020 | 28 | 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 | 22 | 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 | 19 | 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 | 14 | 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 | 9 | 2021 |
| Learning differential operators for interpretable time series modeling Y Luo, C Xu, Y Liu, W Liu, S Zheng, J Bian KDD, 2022 | 5 | 2022 |
| Revisiting the evaluation of end-to-end event extraction S Zheng, W Cao, W Xu, J Bian Findings of ACL, 2021 | 5 | 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 | 2 | 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 | 1 | 2023 |
| Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series J Zhang, S Zheng, W Cao, J Bian, J Li KDD, 2023 | 1 | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 2023 |
Jiang BianMicrosoft ResearchVerified email at microsoft.com
