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Zemin Zheng

Orcid: 0000-0002-0240-9411

According to our database1, Zemin Zheng authored at least 21 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Uniform knockoff filter for high-dimensional controlled graph recovery.
[BibTeX]
[DOI]
Jia Zhou
,
Yang Li
,
Zemin Zheng
,
Changchun Tan
J. Multivar. Anal., 2026

Simultaneous heterogeneity and reduced-rank learning for multivariate response regression.
[BibTeX]
[DOI]
Jie Wu
,
Bo Zhang
,
Daoji Li
,
Zemin Zheng
J. Multivar. Anal., 2026

2025
Personalized federated learning on large-scale association networks.
[BibTeX]
[DOI]
Letian Li
,
Runlin Zhou
,
Zemin Zheng
Stat. Comput., October, 2025

Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios.
[BibTeX]
[DOI]
Runlin Zhou
,
Letian Li
,
Zemin Zheng
CoRR, October, 2025

Navigating Sparsities in High-Dimensional Linear Contextual Bandits.
[BibTeX]
[DOI]
Rui Zhao
,
Zihan Chen
,
Zemin Zheng
CoRR, October, 2025

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses.
[BibTeX]
[DOI]
Zemin Zheng
,
Xin Zhou
,
Jinchi Lv
CoRR, April, 2025

Reproducible Feature Selection for High-Dimensional Measurement Error Models.
[BibTeX]
[DOI]
Xin Zhou
,
Yang Li
,
Zemin Zheng
,
Jie Wu
,
Jiarui Zhang
INFORMS J. Comput., 2025

Robust Parallel Pursuit for Large-Scale Association Network Learning.
[BibTeX]
[DOI]
Wenhui Li
,
Xin Zhou
,
Ruipeng Dong
,
Zemin Zheng
INFORMS J. Comput., 2025

2022
Reproducible learning in large-scale graphical models.
[BibTeX]
[DOI]
Jia Zhou
,
Yang Li
,
Zemin Zheng
,
Daoji Li
J. Multivar. Anal., 2022

Fast Stagewise Sparse Factor Regression.
[BibTeX]
[DOI]
Kun Chen
,
Ruipeng Dong
,
Wanwan Xu
,
Zemin Zheng
J. Mach. Learn. Res., 2022

<i>L</i><sub>0</sub>-Regularized Learning for High-Dimensional Additive Hazards Regression.
[BibTeX]
[DOI]
Zemin Zheng
,
Jie Zhang
,
Yang Li
INFORMS J. Comput., 2022

2021
Nonsparse Learning with Latent Variables.
[BibTeX]
[DOI]
Zemin Zheng
,
Jinchi Lv
,
Wei Lin
Oper. Res., 2021

Parallel integrative learning for large-scale multi-response regression with incomplete outcomes.
[BibTeX]
[DOI]
Ruipeng Dong
,
Daoji Li
,
Zemin Zheng
Comput. Stat. Data Anal., 2021

2020
Uniform joint screening for ultra-high dimensional graphical models.
[BibTeX]
[DOI]
Zemin Zheng
,
Haiyu Shi
,
Yang Li
,
Hui Yuan
J. Multivar. Anal., 2020

Scalable interpretable learning for multi-response error-in-variables regression.
[BibTeX]
[DOI]
Jie Wu
,
Zemin Zheng
,
Yang Li
,
Yi Zhang
J. Multivar. Anal., 2020

Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix.
[BibTeX]
[DOI]
Kun Chen
,
Ruipeng Dong
,
Wanwan Xu
,
Zemin Zheng
CoRR, 2020

2019
Scalable Interpretable Multi-Response Regression via SEED.
[BibTeX]
[DOI]
Zemin Zheng
,
Mohammad Taha Bahadori
,
Yan Liu
,
Jinchi Lv
J. Mach. Learn. Res., 2019

2018
Balanced estimation for high-dimensional measurement error models.
[BibTeX]
[DOI]
Zemin Zheng
,
Yang Li
,
Chongxiu Yu
,
Gaorong Li
Comput. Stat. Data Anal., 2018

2017
Scalable Inference for Massive Data.
[BibTeX]
[DOI]
Zemin Zheng
,
Jiarui Zhang
,
Yinfei Kong
,
Yaohua Wu
Proceedings of the 2017 International Conference on Identification, 2017

Recovering the Graphical Structures via Knockoffs.
[BibTeX]
[DOI]
Zemin Zheng
,
Jia Zhou
,
Xiao Guo
,
Daoji Li
Proceedings of the 2017 International Conference on Identification, 2017

2016
The Constrained Dantzig Selector with Enhanced Consistency.
[BibTeX]
[DOI]
Yinfei Kong
,
Zemin Zheng
,
Jinchi Lv
J. Mach. Learn. Res., 2016


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