王学钦｜中国科学技术大学｜学者主页

2026

Conditional Value-at-Risk portfolio optimization in high dimensions

Yi-Feng Guo, Jin-Hong Du, Xueqin Wang

Statistics and its Interface

DOI

2026

Nearly Optimal Subdata Selection

Min Yang, Wei Zheng, J. Stufken, Ming-Chung Chang, Ting Tian, Xueqin Wang

arXiv.org

DOI

2026

Regionalization of China’s PM2.5: A robust functional spatial clustering with angular depth

Tingyin Wang, Xueqin Wang, Xiaobo Guo, Heping Zhang D

The Annals of Applied Statistics

DOI

2025

度伐利尤单抗联合曲美木单抗一线治疗晚期不可切除肝细胞癌的成本-效用分析（英文）

郭安平，张程璐，温灿红，王学钦

Journal of University of Science and Technology of China

2025

A Feature Transformation and Selection Method to Acquire an Interpretable Model Incorporating Nonlinear Effects

Yu Zheng, Jin Zhu, Junxian Zhu, Xueqin Wang

Acta Mathematica Sinica,English Series

2025

K-sample studentized tests: Random lifter approach In Memory of Professor Xiru Chen(1934–2005)

Roulin Wang, Baisuo Jin, Zhe Gao, Xueqin Wang

Science China Mathematics

2025

DeepSuM: Deep Sufficient Modality Learning Framework

Zhe Gao, Jian Huang, Ting Li, Xueqin Wang

arXiv.org

DOI

2025

K-sample studentized tests: Random lifter approach

Roulin Wang, Bai-Suo Jin, Zhe Gao, Xueqin Wang

Science China Mathematics

DOI

2025

Reconstruct Ising Model With Global Optimality via SLIDE

Xuanyu Chen, Jin Zhu, Junxian Zhu, Xueqin Wang, Heping Zhang D

Journal of the American Statistical Association

DOI

2025

A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence

Yan Chen, Hongmei Lin, Xueqin Wang, Canhong Wen

Journal of the American Statistical Association

DOI

2025

Corrigendum to “Kernel density estimation in metric spaces”

Chenfei Gu, Mian Huang, Xinyu Song, Xueqin Wang

Scandinavian Journal of Statistics

DOI

2025

Hyperbolic Covariance and its Applications in Independence Test

Roulin Wang, Zhe Gao, Xueqin Wang

Communications in Mathematics and Statistics

DOI

2025

High-dimensional Portfolio Selection via an $$\ell _0$$-Constrained Regression

Siyu Wang, Peng Chen, Xueqin Wang

Communications in Mathematics and Statistics

DOI

2025

Rethinking Hard Thresholding Pursuit: Full Adaptation and Sharp Estimation

Yanhang Zhang, Shixiang Liu, Zhifan Li, Xueqin Wang, Jianxin Yin

IEEE Transactions on Information Theory

DOI

2025

Adaptive Robust and Efficient Variable Selection for Heterogeneous Data

Yunlu Jiang, Zehong Zhuang, Hang Zou, Xueqin Wang

Communications in Mathematics and Statistics

DOI

2025

Kernel density estimation in metric spaces

Chenfei Gu, Mian Huang, Xinyu Song, Xueqin Wang

Scandinavian Journal of Statistics

DOI

2024

两独立样本的非参数检验的一些新进展及展望

王柔琳，潘文亮，王学钦

《应用概率统计》

2024

基于折扣指数损失函数的高维异方差数据的惩罚稳健回归估计（英文）

姜云卢，邹航，温灿红，张宝学，王学钦

《数学进展》

2024

基于自回归模型的社交网络依赖性检验

金百锁，李雯仪，王学钦

《中国科学:数学》

2024

共型预测方法的发展和应用

金璋，王学钦

《中国科学:数学》

2024

Studentized tests of independence: Random-lifter approach

Zhe Gao, Roulin Wang, Xueqin Wang, He-Ping Zhang

Annals of Statistics

DOI

2024

Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey

Zhe Gao, Yan-Fang Xu, Wangwei Wu, Xueqin Wang, Yinying Kong, Ting Tian

Statistics and its Interface

DOI

2024

An improved strategy for predicting Alzheimer's disease progression in patients with mild cognitive impairment by clustering hippocampal shape data

Tingyin Wang, Zhe Gao, Xueqin Wang

Statistics and its Interface

DOI

2024

COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States

Yukang Jiang, Ting Tian, Wenting Zhou, Yuting Zhang, Zhongfei Li, Xueqin Wang, Heping Zhang D, Heping Zhang D

Journal of Applied Statistics

DOI

2024

Towards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer

Yongjun Liu, Yuqing Xu, Xiaoxing Li, Mengke Chen, Xueqin Wang, Ning Zhang, Heping Zhang D, Zhengjun Zhang

npj Precision Oncology

DOI

2023

Asymptotic distributions of a new type of design‐based incomplete U‐statistics

Xiangshun Kong, Xueqin Wang, Wei Zheng

Stat

DOI

2023

Copy number variation detection based on constraint least squares

Xiaopu Wang, Xueqin Wang, Aijun Zhang, Canhong Wen

Statistics and Its Interface

DOI

2023

Ball divergence for the equality test of crossing survival curves

Na You, Xueyi He, Hongsheng Dai, Xueqin Wang

Statistics in Medicine

DOI

2023

Sex-specific relationships between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort

Ying Wu, Fulin Zeng, Jinhui Li, Yukang Jiang, Shi Zhao, Luke D. Knibbs, Xiaojun Zhang, Yiding Wang, Qianqian Zhang, Qiong Wang, Qiansheng Hu, Xiaobo Guo, Yumeng Chen, Ganxiang Cao, Jing Wang, Xingfen Yang, Xueqin Wang, Tao Liu, Bo Zhang

Ecotoxicology and Environmental Safety

DOI

2023

Genetic architecture of hippocampus subfields volumes in Alzheimer’s disease

Jiahui Cai, Weixue Xiong, Xueqin Wang, Haizhu Tan, the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Database

CNS Neuroscience & Therapeutics

DOI

2023

Variable selection in additive models via hierarchical sparse penalty

Canhong Wen, Anan Chen, Xueqin Wang, Wenliang Pan, Alzheimer’s Disease Neuroimaging Initiative

Canadian Journal of Statistics

DOI

2022

Nonparametric Two-Sample Tests of High Dimensional Mean Vectors via Random Integration

Yunlu Jiang, Xueqin Wang, Canhong Wen, Yukang Jiang, Heping Zhang D

Journal of the American Statistical Association

DOI

2022

A hyperbolic divergence based nonparametric test for two‐sample multivariate distributions

Roulin Wang, Wei Fan, Xueqin Wang

Canadian Journal of Statistics

DOI

2022

Paired-sample tests for homogeneity with/without confounding variables

Minqiong Chen, Ting Tian, Jin Zhu, Wenliang Pan, Xueqin Wang

Statistics and Its Interface

DOI

2022

Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability

Jin Song Zhu, Wangwei Wu, Yuting Zhang, Shiyun Lin, Yukang Jiang, Ruixian Liu, Xueqin Wang, Heping Zhang D

Frontiers in Oncology

DOI

2021

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces

Xueqin Wang, Jin Zhu, Wenliang Pan, Jun-Hao Zhu, He-Ping Zhang

Journal of the American Statistical Association

DOI

2021

The Effects of Stringent and Mild Interventions for Coronavirus Pandemic

Ting Tian, Jianbin Tan, Wenxiang Luo, Yukang Jiang, Minqiong Chen, Songpan Yang, Canhong Wen, Wenliang Pan, Xueqin Wang

Journal of the American Statistical Association

DOI

2021

Spatial rank-based high-dimensional change point detection via random integration

Lei Shu, Yu Chen, Weiping Zhang, Xueqin Wang

Journal of Multivariate Analysis

DOI

2021

The conditional distance autocovariance function

Qiang Zhang, Wenliang Pan, Chengwei Li, Xueqin Wang

Canadian Journal of Statistics

DOI

2021

Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China

Ting Tian, Jingwen Zhang, Shiyun Lin, Yukang Jiang, Jianbin Tan, Zhongfei Li, Xueqin Wang

Journal of Applied Statistics

DOI

2021

Risk factors associated with mortality of COVID-19 in 3125 counties of the United States

Ting Tian, Jingwen Zhang, Liyuan Hu, Yukang Jiang, Congyuan Duan, Zhongfei Li, Xueqin Wang, Heping Zhang D

Infectious Diseases of Poverty

DOI

2021

Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19

Ting Tian, Jianbin Tan, Yukang Jiang, Xueqin Wang, Heping Zhang D

Journal of Data Science

DOI

2021

Rejoinder: “Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19”

Ting Tian, Jianbin Tan, Yukang Jiang, Xueqin Wang, Heping Zhang D

Journal of Data Science

DOI

2020

P-SIHR概率图模型:一个可估计未隔离感染者数的适用于COVID-19的传染病模型

谭键滨，蒋宇康，田婷，王学钦

《应用数学学报》

2020

The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method

Ting Tian, Wenxiang Luo, Jianbin Tan, Yukang Jiang, Minqiong Chen, Wenliang Pan, Songpan Yang, Jiashu Zhao, Xueqin Wang, Heping Zhang D

Statistics and Its Interface

DOI

2020

Alignment of Cell Lineage Trees Elucidates Genetic Programs for the Development and Evolution of Cell Types

Meng Yuan, Xujiang Yang, Jinghua Lin, Xiaolong Cao, Feng Chen, Xiaoyu Zhang, Zizhang Li, Guifeng Zheng, Xueqin Wang, Xiaoshu Chen, Jian‐Rong Yang

iScience

DOI

2019

数据科学的概率基础

王学钦

2019

Ball Covariance: A Generic Measure of Dependence in Banach Space

Wenliang Pan, Xueqin Wang, He-Ping Zhang, Hong-Tu Zhu, Jin Zhu

Journal of the American Statistical Association

DOI

2019

CSMD: a computational subtraction-based microbiome discovery pipeline for species-level characterization of clinical metagenomic samples

Yu Liu, P. Bible, Bin Zou, Qiaoxing Liang, Cong Dong, Xiao-Feng Wen, Yan Li, Xiaofei Ge, Xifang Li, Xiuli Deng, Rong Ma, Shixin Guo, Juanran Liang, Tingting Chen, Wenliang Pan, Li-Xin Liu, Wei Chen, Xueqin Wang, Lai Wei

Bioinform.

DOI

2018

BALL DIVERGENCE: NONPARAMETRIC TWO SAMPLE TEST

Wenliang Pan, Yuan Tian, Xueqin Wang, He-Ping Zhang

Annals of Statistics

DOI

2018

A Generic Sure Independence Screening Procedure

Wenliang Pan, Xueqin Wang, Weinan Xiao, Hong-Tu Zhu

Journal of the American Statistical Association

DOI

2018

Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces

Jin Zhu, Wenliang Pan, Wei Zheng, Xueqin Wang

Journal of Statistical Software

DOI

2018

Subtype classification and heterogeneous prognosis model construction in precision medicine

Na You, Shun He, Xueqin Wang, Jun-Xian Zhu, He-Ping Zhang

Biometrics

DOI

2018

$\alpha$-Ball divergence and its applications to change-point problems for Banach-valued sequences

Qiang Zhang, Wenliang Pan, Xin Chen, Xueqin Wang

2018

A univariate perspective of multivariate genome‐wide association analysis

Xiao-Bo Guo, Jun-Xian Zhu, Qiao Fan, Ming-Guang He, Xueqin Wang, He-Ping Zhang

Genetic Epidemiology

DOI

2018

Robust Estimation Using Modified Huber’s Functions With New Tails

Yun-Lu Jiang, You-Gan Wang, L. Fu, Xueqin Wang

Technometrics

DOI

2018

Hierarchical Change-Point Detection for Multivariate Time Series via a Ball Detection Function

Xueqin Wang, Qiang Zhang, Wenliang Pan, Xin Chen, He-Ping Zhang

2017

Conditional local distance correlation for manifold-valued data

Wenliang Pan, Xueqin Wang, Canhong Wen, M. Styner, Hong-Tu Zhu

Information Processing in Medical Imaging

DOI

2017

An empirical Bayes method for robust variance estimation in detecting DEGs using microarray data

Na You, Xueqin Wang

J. Bioinform. Comput. Biol.

DOI

2017

Sure Independence Screening Adjusted for Confounding Covariates with Ultrahigh-dimensional Data

Xueqin Wang, Canhong Wen, Wenliang Pan, Mian Huang

DOI

2017

Adaptive model-free sure independence screening

Canhong Wen, Shan Zhu, Xin Chen, Xueqin Wang

DOI

2017

Efficient feature screening for ultrahigh-dimensional varying coefficient models

Xin Chen, Xue-Jun Ma, Xueqin Wang, Jing-Xiao Zhang

DOI

2016

An empirical Bayes method for genotyping and SNP detection using multi-sample next-generation sequencing data

Gong-Yi Huang, Shao-Li Wang, Xueqin Wang, Na You

Bioinform.

DOI

2016

Energy bagging tree

Taoyun Cao, Xueqin Wang, He-Ping Zhang

Statistics and its Interface

DOI

2015

孤独症研究中Hurdle模型的变量选择方法

刘成烽，李姣，王学钦，易莉，冯聪，谭海珠

《中山大学学报(医学科学版)》

2015

CONDITIONAL DISTANCE CORRELATION

Xueqin Wang, Wenliang Pan, Wenhao Hu, Yuan Tian, He-Ping Zhang

Journal of the American Statistical Association

DOI

2015

Single-sample SNP detection by empirical Bayes method using next-generation sequencing data

Wei Ding, Qiang Kou, Xueqin Wang, Qiuyan Xu, Na You

DOI

2015

Laplace Error Penalty‐based Variable Selection in High Dimension

Canhong Wen, Xueqin Wang, Shao-Li Wang

DOI

2015

Association Tests of Multiple Phenotypes: ATeMP

Xiao-Bo Guo, Yixi Li, Xiao-Hu Ding, Ming-Guang He, Xueqin Wang, He-Ping Zhang

PLoS ONE

DOI

2014

Inferring Nonlinear Gene Regulatory Networks from Gene Expression Data Based on Distance Correlation

Xiao-Bo Guo, Ye Zhang, Wenhao Hu, Hai Tan, Xueqin Wang

PLoS ONE

DOI

2014

Inference for multivariate mixtures of two unknown symmetric components

W. Ge, Xiao-Bo Guo, Xueqin Wang, He-Ping Zhang

DOI

2013

Robust Variable Selection with Exponential Squared Loss

Xueqin Wang, Yun-Lu Jiang, Mian Huang, He-Ping Zhang

Journal of the American Statistical Association

DOI

2013

Incorporating heterogeneous parent–child environmental effects in biometrical genetic models

Xiao-Bo Guo, Dun-Gang Liu, Canhong Wen, Ming-Guang He, Xueqin Wang

Statistics in Medicine

DOI

2013

Statistical Inference of Biometrical Genetic Model With Cultural Transmission

Xiao-Bo Guo, Tian Ji, Xueqin Wang, He-Ping Zhang, Shouqiang Zhong

Statistics and its Interface

DOI

2012

Gene Expression Network Reconstruction by LEP Method Using Microarray Data

Na You, Peng Mou, Ting Qiu, Qiang Kou, Huaijing Zhu, Yue-Xi Chen, Xueqin Wang

TheScientificWorldJournal

DOI

2012

Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene

Xiao-Bo Guo, Zhifa Liu, Xueqin Wang, He-Ping Zhang

TheScientificWorldJournal

DOI

2012

Genetic Association Test for Multiple Traits at Gene Level

Xiao-Bo Guo, Zhifa Liu, Xueqin Wang, He-Ping Zhang

Genetic Epidemiology

DOI

2011

Depth-based weighted empirical likelihood and general estimating equations

Yun-Lu Jiang, Shao-Li Wang, W. Ge, Xueqin Wang

DOI

2011

Statistical Inference in Mixed Models and Analysis of Twin and Family Data

Xueqin Wang, Xiao-Bo Guo, Ming-Guang He, He-Ping Zhang

Biometrics

DOI

2010

The distribution of partially exchangeable random variables

Han-Xiang Peng, Xin Dang, Xueqin Wang

DOI

2009

THE THEIL-SEN ESTIMATORS IN A MULTIPLE LINEAR REGRESSION MODEL

Xueqin Wang, Xin Dang, Han-Xiang Peng, He-Ping Zhang

2008

Consistency and asymptotic distribution of the Theil–Sen estimator

Han-Xiang Peng, Shao-Li Wang, Xueqin Wang

DOI

2008

Moment estimation in a semiparametric generalized linear model

Xueqin Wang, Han-Xiang Peng

DOI

2008

A Unified Approach for Analyzing Exchangeable Binary Data with Applications to Clinical and Developmental Toxicity Studies

Xin Dang, Han-Xiang Peng, Xueqin Wang

2005

Asymptotics of the Theil–Sen estimator in the simple linear regression model with a random covariate

Xueqin Wang

DOI

精选作品

期刊论文

Conditional Value-at-Risk portfolio optimization in high dimensions

Nearly Optimal Subdata Selection

Regionalization of China’s PM2.5: A robust functional spatial clustering with angular depth

度伐利尤单抗联合曲美木单抗一线治疗晚期不可切除肝细胞癌的成本-效用分析（英文）

A Feature Transformation and Selection Method to Acquire an Interpretable Model Incorporating Nonlinear Effects

K-sample studentized tests: Random lifter approach In Memory of Professor Xiru Chen(1934–2005)

DeepSuM: Deep Sufficient Modality Learning Framework

K-sample studentized tests: Random lifter approach

Reconstruct Ising Model With Global Optimality via SLIDE

A Minimax Two-Sample Test for Functional Data via Grothendieck’s Divergence

Corrigendum to “Kernel density estimation in metric spaces”

Hyperbolic Covariance and its Applications in Independence Test

High-dimensional Portfolio Selection via an $$\ell _0$$-Constrained Regression

Rethinking Hard Thresholding Pursuit: Full Adaptation and Sharp Estimation

Adaptive Robust and Efficient Variable Selection for Heterogeneous Data

Kernel density estimation in metric spaces

两独立样本的非参数检验的一些新进展及展望

基于折扣指数损失函数的高维异方差数据的惩罚稳健回归估计（英文）

基于自回归模型的社交网络依赖性检验

共型预测方法的发展和应用

Studentized tests of independence: Random-lifter approach

Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey

An improved strategy for predicting Alzheimer's disease progression in patients with mild cognitive impairment by clustering hippocampal shape data

COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States

Towards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer

Asymptotic distributions of a new type of design‐based incomplete U‐statistics

Copy number variation detection based on constraint least squares

Ball divergence for the equality test of crossing survival curves

Sex-specific relationships between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort

Genetic architecture of hippocampus subfields volumes in Alzheimer’s disease

Variable selection in additive models via hierarchical sparse penalty

Nonparametric Two-Sample Tests of High Dimensional Mean Vectors via Random Integration

A hyperbolic divergence based nonparametric test for two‐sample multivariate distributions

Paired-sample tests for homogeneity with/without confounding variables

Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces

The Effects of Stringent and Mild Interventions for Coronavirus Pandemic

Spatial rank-based high-dimensional change point detection via random integration

The conditional distance autocovariance function

Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China

Risk factors associated with mortality of COVID-19 in 3125 counties of the United States

Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19

Rejoinder: “Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19”

P-SIHR概率图模型:一个可估计未隔离感染者数的适用于COVID-19的传染病模型

The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method

Alignment of Cell Lineage Trees Elucidates Genetic Programs for the Development and Evolution of Cell Types

数据科学的概率基础

Ball Covariance: A Generic Measure of Dependence in Banach Space

CSMD: a computational subtraction-based microbiome discovery pipeline for species-level characterization of clinical metagenomic samples

BALL DIVERGENCE: NONPARAMETRIC TWO SAMPLE TEST

A Generic Sure Independence Screening Procedure

Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces

Subtype classification and heterogeneous prognosis model construction in precision medicine

$\alpha$-Ball divergence and its applications to change-point problems for Banach-valued sequences

A univariate perspective of multivariate genome‐wide association analysis

Robust Estimation Using Modified Huber’s Functions With New Tails

Hierarchical Change-Point Detection for Multivariate Time Series via a Ball Detection Function

Conditional local distance correlation for manifold-valued data

An empirical Bayes method for robust variance estimation in detecting DEGs using microarray data

Sure Independence Screening Adjusted for Confounding Covariates with Ultrahigh-dimensional Data

Adaptive model-free sure independence screening

Efficient feature screening for ultrahigh-dimensional varying coefficient models

An empirical Bayes method for genotyping and SNP detection using multi-sample next-generation sequencing data

Energy bagging tree

孤独症研究中Hurdle模型的变量选择方法

CONDITIONAL DISTANCE CORRELATION

Single-sample SNP detection by empirical Bayes method using next-generation sequencing data

Laplace Error Penalty‐based Variable Selection in High Dimension

Association Tests of Multiple Phenotypes: ATeMP

Inferring Nonlinear Gene Regulatory Networks from Gene Expression Data Based on Distance Correlation

Inference for multivariate mixtures of two unknown symmetric components

Robust Variable Selection with Exponential Squared Loss

Incorporating heterogeneous parent–child environmental effects in biometrical genetic models

Statistical Inference of Biometrical Genetic Model With Cultural Transmission

Gene Expression Network Reconstruction by LEP Method Using Microarray Data

Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene

Genetic Association Test for Multiple Traits at Gene Level

Depth-based weighted empirical likelihood and general estimating equations