Lingzhou Xue

Statistical inference for high-dimensional robust linear regression models via recursive online-score estimation
Dian Zheng, Lingzhou Xue, 2026, In: Science China Mathematics
Date: 2026

spVelo
Wenxin Long, Tianyu Liu, Lingzhou Xue, Hongyu Zhao, Dec 2025, In: Genome biology
Date: Dec 2025

Composition-on-composition regression analysis for multi-omics integration of metagenomic data
Nicholas Rios, Yuke Shi, Jun Chen, Xiang Zhan, Lingzhou Xue, Qizhai Li, Jul 1 2025, In: Bioinformatics
Date: Jul 1 2025

Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data
Danning Li, Lingzhou Xue, Haoyi Yang, Xiufan Yu, Jun 1 2025, In: Biometrics
Date: Jun 1 2025

A unified combination framework for dependent tests with applications to microbiome association studies
Xiufan Yu, Linjun Zhang, Arun Srinivasan, Min Ge Xie, Lingzhou Xue, Mar 1 2025, In: Biometrics
Date: Mar 1 2025

NONLINEAR GLOBAL FRÉCHET REGRESSION FOR RANDOM OBJECTS VIA WEAK CONDITIONAL EXPECTATION
Satarupa Bhattacharjee, Bing Li, Lingzhou Xue, Feb 2025, In: Annals of Statistics
Date: Feb 2025

Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li, 2025, In: Proceedings of Machine Learning Research
Date: 2025

Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks
Amal Agarwal, Kevin H. Lee, Lingzhou Xue, 2025, In: Journal of Computational and Graphical Statistics
Date: 2025

Theoretical Guarantees for Sparse Principal Component Analysis Based on the Elastic Net
Haoyi Yang, Teng Zhang, Lingzhou Xue, 2025, In: IEEE Transactions on Information Theory
Date: 2025

Gap-Dependent Bounds for Federated Q-Learning
Haochen Zhang, Zhong Zheng, Lingzhou Xue, 2025, In: Proceedings of Machine Learning Research
Date: 2025

Strong oracle optimality of folded concave penalized estimation
Jianqing Fan, Lingzhou Xue, Hui Zou, Jun 2014, In: Annals of Statistics
Citations: 250

Regularized rank-based estimation of high-dimensional nonparanormal graphical models
Lingzhou Xue, Hui Zou, Oct 2012, In: Annals of Statistics
Citations: 187

A Selective Overview of Sparse Principal Component Analysis
Hui Zou, Lingzhou Xue, Aug 2018, In: Proceedings of the IEEE
Citations: 154

An integrin α_IIbβ₃ intermediate affinity state mediates biomechanical platelet aggregation
Yunfeng Chen, Lining Arnold Ju, Fangyuan Zhou, Jiexi Liao, Lingzhou Xue, Qian Peter Su, Dayong Jin, Yuping Yuan, Hang Lu, Shaun P. Jackson, Cheng Zhu, Jul 1 2019, In: Nature Materials
Citations: 147

Positive-definite l₁-penalized estimation of large covariance matrices
Lingzhou Xue, Shiqian Ma, Hui Zou, 2012, In: Journal of the American Statistical Association
Citations: 146

A review of dynamic network models with latent variables
Bomin Kim, Kevin H. Lee, Lingzhou Xue, Xiaoyue Niu, 2018, In: Statistics Surveys
Citations: 120

Cooperative unfolding of distinctive mechanoreceptor domains transduces force into signals
Lining Ju, Yunfeng Chen, Lingzhou Xue, Xiaoping Du, Cheng Zhu, Jul 19 2016, In: eLife
Citations: 82

Alternating direction methods for latent variable gaussian graphical model selection
Shiqian Ma, Lingzhou Xue, Hui Zou, 2013, In: Neural computation
Citations: 72

Sufficient forecasting using factor models
Jianqing Fan, Lingzhou Xue, Jiawei Yao, 2017, In: Journal of Econometrics
Citations: 65

Nonconcave penalized composite conditional likelihood estimation of sparse ising models
Lingzhou Xue, Hui Zou, Tianxi Cai, Jun 2012, In: Annals of Statistics
Citations: 64

Centers & Institutes

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