郑泽敏｜中国科学技术大学｜学者主页

2026

Row‐Wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large‐Scale Scenarios

Runlin Zhou, Letian Li, Zemin Zheng

Stat

DOI

2026

High-dimensional Inference Via Hybrid Orthogonalization

Yang Li, Zemin Zheng, Jia Hong Zhou, Ziwei Zhu

Statistica Sinica

DOI

2025

Truncated Fusion Learning on Supervised Clustering and Its Fast Stagewise Algorithm

Letian Li, Yang Li, Jie Zhang, Zemin Zheng

Informs Journal On Computing

DOI

2025

Reproducible Feature Selection for High-Dimensional Measurement Error Models

Xin Zhou, Yang Li, Zemin Zheng, Jie Wu, Jiarui Zhang

Informs Journal On Computing，Vol. 370, No. 50

DOI

2025

Robust Parallel Pursuit for Large-Scale Association Network Learning

Wenhui Li, Xin Zhou, Ruipeng Dong, Zemin Zheng

Informs Journal On Computing，Vol. 370, No. 20

DOI

2025

Subgroup Analysis for High‐Dimensional Latent Factor Regression

Yue Wu, Zemin Zheng, Xin Zhou, Jie Wu

Stat

DOI

2025

SOFARI: High-Dimensional Manifold-Based Inference

Zemin Zheng, Xin Zhou, Yingying Fan, Jinchi Lv

Journal of the American Statistical Association

DOI

2025

Simultaneous heterogeneity and reduced-rank learning for multivariate response regression

Jie Wu, Bo Zhang, Daoji Li, Zemin Zheng

Journal of Multivariate Analysis

DOI

2025

Personalized federated learning on large-scale association networks

Letian Li, Runlin Zhou, Zemin Zheng

Statistics and Computing

DOI

2025

High‐dimensional graphical inference via partially penalised regression

Ni Zhao, Zemin Zheng, Yang Li

Australian & New Zealand Journal of Statistics

DOI

2025

Combined L 1 and concave regularization for high-dimensional AFT models under measurement errors

Qin Yu, Zemin Zheng, Yang Li

Communication in Statistics- Theory and Methods

DOI

2025

Hard-thresholding regularization method for high-dimensional heterogeneous models

Yue Wu, Zemin Zheng

Journal of Statistical Computation and Simulation

DOI

2024

Model selection for generalized linear models with weak factors

Xin Zhou, Yan Jun Dong, Yu Qin, Zemin Zheng

Stat

DOI

2024

Scalable efficient reproducible multi-task learning via data splitting

Xin Wen, Yang Li, Zemin Zheng

Statistics & Probability Letters

DOI

2023

基于加速失效模型的子群分析方法

许赵辉，郑泽敏，吴捷

《应用概率统计》

2023

基于通用因果树对观测型数据进行子群因果效应推断（英文）

张采蔚，郑泽敏

Journal of University of Science and Technology of China

2022

L0-Regularized Learning for High-Dimensional Additive Hazards Regression

Zemin Zheng, Jie Zhang, Yang Li

Informs Journal On Computing，Vol. 340, No. 50

DOI

2022

Sequential Scaled Sparse Factor Regression

Zemin Zheng, Yang Li, Jie Wu, Yuchen Wang

Journal Of Business & Economic Statistics，Vol. 400, No. 2

DOI

2022

高维稀疏个性化推荐方法研究（英文）

邵景钰，董枘朋，郑泽敏

Journal of University of Science and Technology of China

2022

精度矩阵置信区间在高维网络数据中的研究

郑泽敏，周慧婷

《中国科学院大学学报(中英文)》

2022

L 0 -regularization for high-dimensional regression with corrupted data

Jie Zhang, Yang Li, Ni Zhao, Zemin Zheng

Communication in Statistics- Theory and Methods

DOI

2021

Nonsparse Learning with Latent Variables

Zemin Zheng, Jinchi Lv, Wei Lin

Operations Research，Vol. 69, No. 10

DOI

2021

基于多响应回归的子群分析（英文）

吴捷，周佳，郑泽敏

Journal of University of Science and Technology of China

2021

基于高维精度矩阵的置信区间的一致性理论（英文）

王月，李阳，郑泽敏

《中国科学院大学学报(中英文)》

2021

Reproducible learning in large-scale graphical models

Jia Zhou, Yang Li, Zemin Zheng, Daoji Li

Journal of Multivariate Analysis

DOI

2021

Reproducible feature selection in high-dimensional accelerated failure time models

Yan Xue Dong, Daoji Li, Zemin Zheng, Jia Zhou

Statistics & Probability Letters

DOI

2021

Controlling the false discovery rate for latent factors via unit-rank deflation

Ruipeng Dong, Jia Zhou, Zemin Zheng

Statistics & Probability Letters

DOI

2021

Scalable and efficient inference via CPE

Yu Qin, Yang Li, Yumeng Wang, Yachong Yang, Zemin Zheng

Communication in Statistics- Theory and Methods

DOI

2021

Parallel integrative learning for large-scale multi-response regression with incomplete outcomes

Ruipeng Dong, Daoji Li, Zemin Zheng

Computational Statistics & Data Analysis

DOI

2021

Innovated scalable efficient inference for ultra-large graphical models

Jia Zhou, Zemin Zheng, Huiting Zhou, Ruipeng Dong

Statistics & Probability Letters

DOI

2021

Scalable inference for high-dimensional precision matrix

Zemin Zheng, Yue Wang, Yugang Yu, Yang Li

Communication in Statistics- Theory and Methods

DOI

2021

Subgroup analysis for multi-response regression

Jie Wu, Zhou Jia, Zheng Zemin

JUSTC

DOI

2020

运用双尺度分布最近邻估计对公司盈利能力作异质性因果推断（英文）

何雨，吴越，郑泽敏，吴捷

Journal of University of Science and Technology of China

2020

可延展的高维精度矩阵的置信区间

周慧婷，周佳，郑泽敏

Journal of University of Science and Technology of China

2020

Innovated scalable dynamic learning for time-varying graphical models

Zemin Zheng, Liwan Li, Jia Zhou, Yinfei Kong

Statistics & Probability Letters

DOI

2020

Scalable interpretable learning for multi-response error-in-variables regression

Jie Wu, Zemin Zheng, Yang Li, Yi Zhang

Journal of Multivariate Analysis

DOI

2020

Uniform joint screening for ultra-high dimensional graphical models

Zemin Zheng, Haiyu Shi, Yang Li, Hui Yuan

Journal of Multivariate Analysis

DOI

2018

Balanced estimation for high-dimensional measurement error models

Zemin Zheng, Yang Li, Chongxiu Yu, Gaorong Li

Computational Statistics & Data Analysis

DOI

精选作品

期刊论文

Row‐Wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large‐Scale Scenarios

High-dimensional Inference Via Hybrid Orthogonalization

Truncated Fusion Learning on Supervised Clustering and Its Fast Stagewise Algorithm

Reproducible Feature Selection for High-Dimensional Measurement Error Models

Robust Parallel Pursuit for Large-Scale Association Network Learning

Subgroup Analysis for High‐Dimensional Latent Factor Regression

SOFARI: High-Dimensional Manifold-Based Inference

Simultaneous heterogeneity and reduced-rank learning for multivariate response regression

Personalized federated learning on large-scale association networks

High‐dimensional graphical inference via partially penalised regression

Combined L 1 and concave regularization for high-dimensional AFT models under measurement errors

Hard-thresholding regularization method for high-dimensional heterogeneous models

Model selection for generalized linear models with weak factors

Scalable efficient reproducible multi-task learning via data splitting

基于加速失效模型的子群分析方法

基于通用因果树对观测型数据进行子群因果效应推断（英文）

L0-Regularized Learning for High-Dimensional Additive Hazards Regression

Sequential Scaled Sparse Factor Regression

高维稀疏个性化推荐方法研究（英文）

精度矩阵置信区间在高维网络数据中的研究

L 0 -regularization for high-dimensional regression with corrupted data

Nonsparse Learning with Latent Variables

基于多响应回归的子群分析（英文）

基于高维精度矩阵的置信区间的一致性理论（英文）

Reproducible learning in large-scale graphical models

Reproducible feature selection in high-dimensional accelerated failure time models

Controlling the false discovery rate for latent factors via unit-rank deflation

Scalable and efficient inference via CPE

Parallel integrative learning for large-scale multi-response regression with incomplete outcomes

Innovated scalable efficient inference for ultra-large graphical models

Scalable inference for high-dimensional precision matrix

Subgroup analysis for multi-response regression

运用双尺度分布最近邻估计对公司盈利能力作异质性因果推断（英文）

可延展的高维精度矩阵的置信区间

Innovated scalable dynamic learning for time-varying graphical models

Scalable interpretable learning for multi-response error-in-variables regression

Uniform joint screening for ultra-high dimensional graphical models

Balanced estimation for high-dimensional measurement error models

预印本

Robust Subgroup Analysis for Heterogeneous Censored Data

Navigating Sparsities in High-Dimensional Linear Contextual Bandits

Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix

The constrained Dantzig selector with enhanced consistency

Scalable Interpretable Multi-Response Regression via SEED

High dimensional thresholded regression and shrinkage effect

Innovated interaction screening for high-dimensional nonlinear classification

Discussion: "A significance test for the lasso"

书籍章节

Recent Advances in Big Data Analytics

研究方向