宋锐｜上海大学｜学者主页

2025

面向窄带物联网的ZUC算法紧凑硬件实现

宋锐，向泽军，张若琳，张莎莎，陈思维

《中国科学:信息科学》

2025

ZUC算法硬件优化实现的研究

宋锐

《湖北大学》

2025

ZUC算法的高性能硬件架构

宋锐，张莎莎，张若琳，向泽军，陈思维，曾祥勇

《密码学报(中英文)》

DOI

2024

基于IPDRR安全框架的智慧机场关键信息基础设施网络安全建设项目

马霄，董保开，宋锐，白彦茹，田晓扬

《自动化博览》

2022

Inference for change-plane regression

Chaeryon Kang, Hunyong Cho, Rui Song, M. Banerjee, Eric B. Laber, M. Kosorok

Bernoulli

DOI

2022

Statistical Learning for Individualized Asset Allocation

Yi Ding, Yingying Li, Rui Song

Journal of the American Statistical Association

DOI

2022

Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes

Yu Zhou, Lan Wang, Rui Song, Tuo-Yi Zhao

Journal of the American Statistical Association

DOI

2022

Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data

K. Gunn, Wen-Bin Lu, Rui Song

2021

On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime

Xin Chen, Rui Song, Jia-Jia Zhang, S. Adams, Liu-Quan Sun, Wen-Bin Lu

Biometrics

DOI

2021

An Online Sequential Test for Qualitative Treatment Effects

Cheng-Chun Shi, Shi-Kai Luo, Hong-Tu Zhu, Rui Song

Journal of machine learning research

2021

Online Testing of Subgroup Treatment Effects Based on Value Difference

Miao Yu, Wen-Bin Lu, Rui Song

Industrial Conference on Data Mining

DOI

2021

Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates

Trinetri Ghosh, Yan-Yuan Ma, Rui Song, Ping-Shou Zhong

Electronic Journal of Statistics

DOI

2020

Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness

Lin Dong, Eric B. Laber, Y. Goldberg, Rui Song, Shu Yang

Statistics in Medicine

DOI

2019

基于机器学习的多片FPGA的高速网络流量分类方法设计

曾小宝，李晓锋，宋锐，叶倩

《数字通信世界》

2019

ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS

Cheng-Chun Shi, Rui Song, Wen-Bin Lu

Annals of Statistics

DOI

2019

Testing and Estimation of Social Network Dependence With Time to Event Data

Lin Su, Wen-Bin Lu, Rui Song, Dan-Yang Huang

Journal of the American Statistical Association

DOI

2019

Doubly robust inference when combining probability and non-probability samples with high dimensional data

Shu Yang, Jae Kwang Kim, Rui Song

Journal of The Royal Statistical Society Series B-statistical Methodology

DOI

2019

Modelling and estimation for optimal treatment decision with interference

Lin Su, Wen-Bin Lu, Rui Song

Stat

DOI

2018

FSEM: Functional Structural Equation Models for Twin Functional Data

Shi-Kai Luo, Rui Song, M. Styner, J. Gilmore, H. Zhu

Journal of the American Statistical Association

DOI

2018

Quantile-Optimal Treatment Regimes

Lan Wang, Yu Zhou, Rui Song, Ben Sherwood

Journal of the American Statistical Association

DOI

2018

HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES

Cheng-Chun Shi, Alin Fan, Rui Song, Wen-Bin Lu

Annals of Statistics

DOI

2018

Maximin Projection Learning for Optimal Treatment Decision with Heterogeneous Individualized Treatment Effects

Cheng-Chun Shi, Rui Song, Wen-Bin Lu, Bo Fu

Journal of The Royal Statistical Society Series B-statistical Methodology

DOI

2018

Deep advantage learning for optimal dynamic treatment regime

Shuhan Liang, Wen-Bin Lu, Rui Song

Statistical Theory and Related Fields

DOI

2017

DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA—WITH APPLICATION TO AN HIV/AIDS STUDY

Runchao Jiang, Wen-Bin Lu, Rui Song, M. Hudgens, Sonia Naprvavnik

Annals of Applied Statistics

DOI

2017

Change-Plane Analysis for Subgroup Detection and Sample Size Calculation

Ailin Fan, Rui Song, Wen-Bin Lu

Journal of the American Statistical Association

DOI

2017

Online Supplement to JASA-T&M-2015-0234R2 (cid:16)Quantile-Optimal Treatment Regimes"

Lan Wang, Yu Zhou, Rui Song, Ben Sherwood

2017

Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy

Rui Song, Shi-Kai Luo, D. Zeng, H. Zhang, Wen-Bin Lu, Zhiguo Li

Electronic Journal of Statistics

DOI

2016

A Massive Data Framework for M-Estimators with Cubic-Rate

Cheng-Chun Shi, Wen-Bin Lu, Rui Song

Journal of the American Statistical Association

DOI

2016

Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes

Caiyun Fan, Wen-Bin Lu, Rui Song, Yong Zhou

Journal of The Royal Statistical Society Series B-statistical Methodology

DOI

2016

Comment

Jing-Xian Chen, Yu-Feng Liu, D. Zeng, Rui Song, Ying‐Qi Zhao, M. Kosorok

Journal of the American Statistical Association

DOI

2016

Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective

Xiaofei Bai, A. Tsiatis, Wen-Bin Lu, Rui Song

Lifetime Data Analysis

DOI

2015

Penalized Q-Learning for Dynamic Treatment Regimens

Rui Song, Wei-Wei Wang, D. Zeng, M. Kosorok

Statistica sinica

DOI

2015

On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning

Rui Song, M. Kosorok, D. Zeng, Ying‐Qi Zhao, Eric B. Laber, Ming Yuan

Stat

DOI

2015

Robust learning for optimal treatment decision with NP-dimensionality

Cheng-Chun Shi, Rui Song, Wen-Bin Lu

Electronic Journal of Statistics

DOI

2014

Censored Rank Independence Screening for High-dimensional Survival Data

Rui Song, Wen-Bin Lu, Shuang-Ge Ma, X. J. Jeng

Biometrika

DOI

2014

Sequential advantage selection for optimal treatment regime

Ailin Fan, Wen-Bin Lu, Rui Song

Annals of Applied Statistics

DOI

2014

Comment on “Dynamic treatment regimes: technical challenges and applications”

Y. Goldberg, Rui Song, D. Zeng, M. Kosorok

Electronic Journal of Statistics

DOI

2014

On Estimation of Optimal Treatment Regimes For Maximizing t-Year Survival Probability

Runchao Jiang, Wen-Bin Lu, Rui Song, M. Davidian

Journal of The Royal Statistical Society Series B-statistical Methodology

DOI

2014

ASYMPTOTICS FOR CHANGE-POINT MODELS UNDER VARYING DEGREES OF MIS-SPECIFICATION

Rui Song, M. Banerjee, M. Kosorok

Annals of Statistics

DOI

2014

Doubly Robust Learning for Estimating Individualized Treatment with Censored Data

Ying-Qi Zhao, D. Zeng, Eric B. Laber, Rui Song, Ming Yuan, M. Kosorok

Biometrika

DOI

2014

On Varying-coefficient Independence Screening for High-dimensional Varying-coefficient Models

Rui Song, Feng Yi, H. Zou

Statistica sinica

DOI

2011

Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome

Hai-Bo Zhou, Rui Song, Yuan-Shan Wu, J. Qin

Biometrics

DOI

2009

Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models

Jian-Qing Fan, Yang Feng, Rui Song

Journal of the American Statistical Association

DOI

2009

On semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome

Rui Song, Hai-Bo Zhou, M. Kosorok

Biometrika

DOI

2009

Sure independence screening in generalized linear models with NP-dimensionality

Jian-Qing Fan, Rui Song

Annals of Statistics

DOI

2008

What We Want versus What We Can Get: A Closer Look at Failure Time Endpoints for Cardiovascular Studies

Rui Song, T. Cook, M. Kosorok

Journal of Biopharmaceutical Statistics

DOI

2008

Robust Covariate‐Adjusted Log‐Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data

Rui Song, M. Kosorok, Jian-Wen Cai

Biometrics

DOI

精选作品

期刊论文

面向窄带物联网的ZUC算法紧凑硬件实现

ZUC算法硬件优化实现的研究

ZUC算法的高性能硬件架构

基于IPDRR安全框架的智慧机场关键信息基础设施网络安全建设项目

Inference for change-plane regression

Statistical Learning for Individualized Asset Allocation

Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes

Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data

On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime

An Online Sequential Test for Qualitative Treatment Effects

Online Testing of Subgroup Treatment Effects Based on Value Difference

Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates

Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness

基于机器学习的多片FPGA的高速网络流量分类方法设计

ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS

Testing and Estimation of Social Network Dependence With Time to Event Data

Doubly robust inference when combining probability and non-probability samples with high dimensional data

Modelling and estimation for optimal treatment decision with interference

FSEM: Functional Structural Equation Models for Twin Functional Data

Quantile-Optimal Treatment Regimes

HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES

Maximin Projection Learning for Optimal Treatment Decision with Heterogeneous Individualized Treatment Effects

Deep advantage learning for optimal dynamic treatment regime

DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA—WITH APPLICATION TO AN HIV/AIDS STUDY

Change-Plane Analysis for Subgroup Detection and Sample Size Calculation

Online Supplement to JASA-T&M-2015-0234R2 (cid:16)Quantile-Optimal Treatment Regimes"

Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy

A Massive Data Framework for M-Estimators with Cubic-Rate

Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes

Comment

Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective

Penalized Q-Learning for Dynamic Treatment Regimens

On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning

Robust learning for optimal treatment decision with NP-dimensionality

Censored Rank Independence Screening for High-dimensional Survival Data

Sequential advantage selection for optimal treatment regime

Comment on “Dynamic treatment regimes: technical challenges and applications”

On Estimation of Optimal Treatment Regimes For Maximizing t-Year Survival Probability

ASYMPTOTICS FOR CHANGE-POINT MODELS UNDER VARYING DEGREES OF MIS-SPECIFICATION

Doubly Robust Learning for Estimating Individualized Treatment with Censored Data

On Varying-coefficient Independence Screening for High-dimensional Varying-coefficient Models

Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome

Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models

On semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome

Sure independence screening in generalized linear models with NP-dimensionality

What We Want versus What We Can Get: A Closer Look at Failure Time Endpoints for Cardiovascular Studies

Robust Covariate‐Adjusted Log‐Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data

会议论文

工业大模型内生安全风险与防护体系研究