The Constrained Dantzig Selector with Enhanced Consistency. - Yinfei Kong; Zemin Zheng; Jinchi Lv (J. Mach. Learn. Res., 2016)

Recovering the Graphical Structures via Knockoffs. - Zemin Zheng; Jia Zhou; Xiao Guo; Daoji Li (IIKI, 2017)

Scalable Inference for Massive Data. - Zemin Zheng; Jiarui Zhang; Yinfei Kong; Yaohua Wu (IIKI, 2017)

Balanced estimation for high-dimensional measurement error models. - Zemin Zheng; Yang Li 175; Chongxiu Yu; Gaorong Li (Comput. Stat. Data Anal., 2018)

Scalable Interpretable Multi-Response Regression via SEED. - Zemin Zheng; Mohammad Taha Bahadori; Yan Liu 002; Jinchi Lv (J. Mach. Learn. Res., 2019)

Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix. - Kun Chen 002; Ruipeng Dong; Wanwan Xu; Zemin Zheng (CoRR, 2020)

Scalable interpretable learning for multi-response error-in-variables regression. - Jie Wu 004; Zemin Zheng; Yang Li 175; Yi Zhang (J. Multivar. Anal., 2020)

Uniform joint screening for ultra-high dimensional graphical models. - Zemin Zheng; Haiyu Shi; Yang Li 175; Hui Yuan (J. Multivar. Anal., 2020)

Parallel integrative learning for large-scale multi-response regression with incomplete outcomes. - Ruipeng Dong; Daoji Li; Zemin Zheng (Comput. Stat. Data Anal., 2021)

Nonsparse Learning with Latent Variables. - Zemin Zheng; Jinchi Lv; Wei Lin 020 (Oper. Res., 2021)

L0-Regularized Learning for High-Dimensional Additive Hazards Regression. - Zemin Zheng; Jie Zhang; Yang Li 175 (INFORMS J. Comput., 2022)

Fast Stagewise Sparse Factor Regression. - Kun Chen 002; Ruipeng Dong; Wanwan Xu; Zemin Zheng (J. Mach. Learn. Res., 2022)

Reproducible learning in large-scale graphical models. - Jia Zhou; Yang Li 175; Zemin Zheng; Daoji Li (J. Multivar. Anal., 2022)

Robust Parallel Pursuit for Large-Scale Association Network Learning. - Wenhui Li; Xin Zhou; Ruipeng Dong; Zemin Zheng (INFORMS J. Comput., 2025)

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses. - Zemin Zheng; Xin Zhou; Jinchi Lv (CoRR, 2025)

Personalized federated learning on large-scale association networks. - Letian Li; Runlin Zhou; Zemin Zheng (Stat. Comput., 2025)