← All authors Rui Song North Carolina State University (from arXiv:2401.05517, 2024) · ORCID · OpenAlex
67 papers in scope · 65 published · 2 on the econ.EM arXiv · 2,862 citations · h-index 25 (over the papers listed here)
Identity warning. This OpenAlex author record appears to combine more than one person. Treat the list below with caution. Evidence: one alternative surname: fu, rui; 10 top-level fields at >=2% share; 10 fields is not one person's research programme; 12 distinct last-known institutions; 12 institutions is not one person's career; corroborated by 3 coauthors on its econ.EM paper(s).
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Haoyu Wei Huiming Zhang Pengjie Zhou Runzhe Wan Lei Shi Guang Cheng Zhengling Qi Joël L. Horowitz Sokbae Lee Sarina Joy Oberhänsli Martin Huber Anthony Strittmatter Yihong Xu Zheng Li Wei-Chen Wang Nishanth Dikkala Pedro H. C. Sant’Anna Siyu Chen Zhuoran Yang Xiaohong Chen Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (2 of 67)
A Review of Causal Decision Making
published 2026 · Journal of Artificial Intelligence Research
Inference for change-plane regression
published 2025 · Bernoulli · 2 citations · first circulated 2022
with Chaeryon Kang, Hunyong Cho, Moulinath Banerjee, Eric B. Laber, Michael R. Kosorok
A Review of Reinforcement Learning in Financial Applications
published 2024 · Annual Review of Statistics and Its Application · 22 citations
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
published 2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 2 citations · first circulated 2023
Reinforcement Learning in Latent Heterogeneous Environments
published 2024 · Journal of the American Statistical Association · 6 citations
working paper 2024 · arXiv
Data science in economics and finance: Introduction
published 2023 · Journal of Econometrics · 1 citations
working paper 2023 · arXiv
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
published 2023 · Journal of the American Statistical Association · 4 citations · first circulated 2021
Mining the factor zoo: Estimation of latent factor models with sufficient proxies
published 2023 · Journal of Econometrics · 5 citations · first circulated 2022
Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates
published 2023 · Electronic Journal of Statistics · first circulated 2021
with Trinetri Ghosh, Yanyuan Ma, Ping-Shou Zhong
Deep spectral Q‐learning with application to mobile health
published 2023 · Stat
Heterogeneous impacts and spillover effects of green innovation network and environmental regulation on water use efficiency: A spatiotemporal perspective from 269 cities in China
published 2022 · Sustainable Cities and Society · 40 citations
with Yizhen Zhang, Tao Wang, Chuantang Ren, Luwei Wang, Kun Zhang
Dynamic learning-based fault tolerant control for robotic manipulators with actuator faults
published 2022 · Journal of the Franklin Institute · 30 citations
with Fukai Zhang, Weiming Wu, Cong Wang
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
published 2022 · Journal of the American Statistical Association · 2 citations
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons
published 2022 · Journal of the American Statistical Association · 6 citations
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes
published 2022 · Journal of the American Statistical Association · 6 citations
with Yu Zhou, Lan Wang, Tuoyi Zhao
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework
published 2022 · Journal of the American Statistical Association · 25 citations · first circulated 2020
Statistical Inference of the Value Function for Reinforcement Learning in Infinite-Horizon Settings
published 2021 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 37 citations · first circulated 2020
A Probit Tensor Factorization Model For Relational Learning
published 2021 · Journal of Computational and Graphical Statistics · 1 citations
with Ye Liu, Wenbin Lu, Yanghua Xiao
Construction of the Central Arctic Sea Ice Structure and Acoustic Velocity Model at the Short-Term Ice Station During N11 CHINARE
published 2021 · IEEE Transactions on Geoscience and Remote Sensing · 4 citations
with Junhui Xing, Sheng Zhen, Xiaodian Jiang
On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime
published 2021 · Biometrics · 1 citations
with Xin Chen, Jiajia Zhang, Swann Arp Adams, Liuquan Sun, Wenbin Lu
GEAR: On optimal decision making with auxiliary data
published 2021 · Stat · 1 citations
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
published 2021 · International Conference on Learning Representations · 3 citations
no link
Concordance and value information criteria for optimal treatment decision
published 2021 · The Annals of Statistics · 9 citations
Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness
published 2020 · Statistics in Medicine · 2 citations
with Lin Dong, Eric B. Laber, Yair Goldberg, Shu Yang
Statistical Inference for Online Decision Making: In a Contextual Bandit Setting
published 2020 · Journal of the American Statistical Association · 29 citations
with Haoyu Chen, Wenbin Lu
A New Framework for Online Testing of Heterogeneous Treatment Effect
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 5 citations
with Miao Yu, Wenbin Lu
Doubly Robust Inference when Combining Probability and Non-Probability Samples with High Dimensional Data
published 2020 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 4 citations · first circulated 2019
with Shu Yang, Jae Kwang Kim
Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation
published 2020 · Journal of the American Statistical Association · 41 citations
Linear hypothesis testing for high dimensional generalized linear models
published 2019 · The Annals of Statistics · 48 citations
Rejoinder for "Entropy Learning for Dynamic Treatment Regimes"
published 2019 · Statistica Sinica
with Binyan Jiang, Jialiang Li, Donglin Zeng
On testing conditional qualitative treatment effects
published 2019 · The Annals of Statistics · 3 citations
A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects
published 2019 · Journal of the American Statistical Association · 14 citations
Modelling and estimation for optimal treatment decision with interference
published 2019 · Stat · 8 citations
with Lin Su, Wenbin Lu
Entropy Learning for Dynamic Treatment Regimes
published 2018 · Statistica Sinica · 14 citations
with Binyan Jiang, Jialiang Li, Donglin Zeng
Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes
published 2018 · Journal of the American Statistical Association · 20 citations
with W. J. Zhu, Donglin Zeng
Maximin Projection Learning for Optimal Treatment Decision with Heterogeneous Individualized Treatment Effects
published 2018 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 27 citations
High-dimensional $A$-learning for optimal dynamic treatment regimes
published 2018 · The Annals of Statistics · 99 citations
Deep advantage learning for optimal dynamic treatment regime
published 2018 · Statistical Theory and Related Fields · 7 citations
with Shuhan Liang, Wenbin Lu
Doubly robust estimation of optimal treatment regimes for survival data—with application to an HIV/AIDS study
published 2017 · The Annals of Applied Statistics · 23 citations
with Runchao Jiang, Wenbin Lu, Michael G. Hudgens, Sonia Naprvavnik
Subgroup detection and sample size calculation with proportional hazards regression for survival data
published 2017 · Statistics in Medicine · 20 citations
with Suhyun Kang, Wenbin Lu
A Massive Data Framework for M-Estimators with Cubic-Rate
published 2017 · Journal of the American Statistical Association · 1 citations
Quantile-Optimal Treatment Regimes
published 2017 · Journal of the American Statistical Association · 71 citations
with Lan Wang, Yu Zhou, Ben Sherwood
Semiparametric single-index model for estimating optimal individualized treatment strategy
published 2017 · Electronic Journal of Statistics · 25 citations
with Shikai Luo, Donglin Zeng, Hao Helen Zhang, Wenbin Lu, Zhiguo Li
Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes
published 2016 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 56 citations
with Caiyun Fan, Wenbin Lu, Yong Zhou
On Estimation of Optimal Treatment Regimes for Maximizing t -Year Survival Probability
published 2016 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 60 citations · first circulated 2014
with Runchao Jiang, Wenbin Lu, Marie Davidian
Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective
published 2016 · Lifetime Data Analysis · 50 citations
with Xiaofei Bai, Anastasios A. Tsiatis, Wenbin Lu
Comment
published 2016 · Journal of the American Statistical Association
with Jingxiang Chen, Yufeng Liu, Donglin Zeng, Ying-Qi Zhao, Michael R. Kosorok
Change-Plane Analysis for Subgroup Detection and Sample Size Calculation
published 2016 · Journal of the American Statistical Association · 59 citations
with Ailin Fan, Wenbin Lu
Sequential advantage selection for optimal treatment regime
published 2016 · The Annals of Applied Statistics · 21 citations · first circulated 2014
with Ailin Fan, Wenbin Lu
Robust learning for optimal treatment decision with NP-dimensionality
published 2016 · Electronic Journal of Statistics · 46 citations · first circulated 2015
Asymptotics for change-point models under varying degrees of mis-specification
published 2015 · The Annals of Statistics · 12 citations · first circulated 2014
with Moulinath Banerjee, Michael R. Kosorok
Using pilot data to size a two‐arm randomized trial to find a nearly optimal personalized treatment strategy
published 2015 · Statistics in Medicine · 22 citations
with Eric B. Laber, Ying-Qi Zhao, Todd Regh, Marie Davidian, Anastasios A. Tsiatis, Joseph B. Stanford, Donglin Zeng, Michael R. Kosorok
On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning
published 2015 · Stat · 70 citations
Doubly robust learning for estimating individualized treatment with censored data
published 2014 · Biometrika · 154 citations
Censored rank independence screening for high-dimensional survival data
published 2014 · Biometrika · 135 citations
with Wenlian Lu, Siwei Ma, X. Jessie Jeng
Penalized Q-learning for dynamic treatment regimens
published 2014 · Statistica Sinica · 71 citations
with Weiwei Wang, Donglin Zeng, Michael R. Kosorok
On varying-coefficient independence screening for high-dimensional varying-coefficient models
published 2014 · Statistica Sinica · 47 citations
with Yi Feng, Hui Zou
Comment on “Dynamic treatment regimes: Technical challenges and applications”
published 2014 · Electronic Journal of Statistics · 14 citations
with Yair Goldberg, Donglin Zeng, Michael R. Kosorok
Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
published 2011 · Journal of the American Statistical Association · 557 citations · first circulated 2009
Sure independence screening in generalized linear models with NP-dimensionality
published 2010 · The Annals of Statistics · 651 citations
Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome
published 2010 · Biometrics · 20 citations
with Haibo Zhou, Yuanshan Wu, Jing Qin
Joint covariate-adjusted score test statistics for recurrent events and a terminal event
published 2009 · Lifetime Data Analysis · 3 citations
with Jianwen Cai
A note on semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome
published 2009 · Biometrika · 43 citations
with Haibo Zhou, Michael R. Kosorok
Robust Covariate‐Adjusted Log‐Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data
published 2007 · Biometrics · 22 citations
with Michael R. Kosorok, Jianwen Cai
Inference under right censoring for transformation models with a change-point based on a covariate threshold
published 2007 · The Annals of Statistics · 81 citations · first circulated 2006
with Michael R. Kosorok
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