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ORCIDZemin Zheng
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2020 – today
- 2022
[j10]Zemin Zheng
, Jie Zhang, Yang Li:
L0-Regularized Learning for High-Dimensional Additive Hazards Regression. INFORMS J. Comput. 34(5): 2762-2775 (2022)- [j9]Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng:
Fast Stagewise Sparse Factor Regression. J. Mach. Learn. Res. 23: 271:1-271:45 (2022) - [j8]Jia Zhou, Yang Li, Zemin Zheng, Daoji Li:
Reproducible learning in large-scale graphical models. J. Multivar. Anal. 189: 104934 (2022) - 2021
- [j7]Ruipeng Dong, Daoji Li, Zemin Zheng:
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes. Comput. Stat. Data Anal. 160: 107243 (2021) - [j6]Zemin Zheng, Jinchi Lv, Wei Lin:
Nonsparse Learning with Latent Variables. Oper. Res. 69(1): 346-359 (2021) - 2020
- [j5]Jie Wu, Zemin Zheng, Yang Li, Yi Zhang:
Scalable interpretable learning for multi-response error-in-variables regression. J. Multivar. Anal. 179: 104644 (2020) - [j4]Zemin Zheng, Haiyu Shi, Yang Li, Hui Yuan:
Uniform joint screening for ultra-high dimensional graphical models. J. Multivar. Anal. 179: 104645 (2020) - [i1]Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng:
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix. CoRR abs/2003.07898 (2020)
2010 – 2019
- 2019
- [j3]Zemin Zheng, Mohammad Taha Bahadori, Yan Liu, Jinchi Lv:
Scalable Interpretable Multi-Response Regression via SEED. J. Mach. Learn. Res. 20: 107:1-107:34 (2019) - 2018
- [j2]Zemin Zheng, Yang Li, Chongxiu Yu, Gaorong Li:
Balanced estimation for high-dimensional measurement error models. Comput. Stat. Data Anal. 126: 78-91 (2018) - 2017
- [c2]Zemin Zheng, Jiarui Zhang, Yinfei Kong, Yaohua Wu:
Scalable Inference for Massive Data. IIKI 2017: 81-87 - [c1]Zemin Zheng, Jia Zhou, Xiao Guo, Daoji Li:
Recovering the Graphical Structures via Knockoffs. IIKI 2017: 201-207 - 2016
- [j1]Yinfei Kong, Zemin Zheng, Jinchi Lv:
The Constrained Dantzig Selector with Enhanced Consistency. J. Mach. Learn. Res. 17: 123:1-123:22 (2016)
Coauthor Index
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