Ruoxuan Xiong

Ruoxuan Xiong

Stanford University

H-index: 12

North America-United States

About Ruoxuan Xiong

Ruoxuan Xiong, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Stanford University, specializes in the field of experimental design, causal inference, econometrics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Contrastive balancing representation learning for heterogeneous dose-response curves estimation

Bias-variance tradeoffs for designing simultaneous temporal experiments

Stable estimation of heterogeneous treatment effects

Learning instrumental variable from data fusion for treatment effect estimation

Optimal experimental design for staggered rollouts

Federated causal inference in heterogeneous observational data

Target PCA: Transfer learning large dimensional panel data

State-varying factor models of large dimensions

Ruoxuan Xiong Information

University

Position

___

Citations(all)

850

Citations(since 2020)

822

Cited By

233

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Ruoxuan Xiong Skills & Research Interests

experimental design

causal inference

econometrics

Top articles of Ruoxuan Xiong

Title

Journal

Author(s)

Publication Date

Contrastive balancing representation learning for heterogeneous dose-response curves estimation

Proceedings of the AAAI Conference on Artificial Intelligence

Minqin Zhu

Anpeng Wu

Haoxuan Li

Ruoxuan Xiong

Bo Li

...

2024/3/24

Bias-variance tradeoffs for designing simultaneous temporal experiments

Ruoxuan Xiong

Alex Chin

Sean Taylor

2023/7/25

Stable estimation of heterogeneous treatment effects

Anpeng Wu

Kun Kuang

Ruoxuan Xiong

Bo Li

Fei Wu

2023/7/3

Learning instrumental variable from data fusion for treatment effect estimation

Proceedings of the AAAI Conference on Artificial Intelligence

Anpeng Wu

Kun Kuang

Ruoxuan Xiong

Minqin Zhu

Yuxuan Liu

...

2023/6/26

Optimal experimental design for staggered rollouts

Management Science

Ruoxuan Xiong

Susan Athey

Mohsen Bayati

Guido Imbens

2023/12/14

Federated causal inference in heterogeneous observational data

Statistics in Medicine

Ruoxuan Xiong

Allison Koenecke

Michael Powell

Zhu Shen

Joshua T Vogelstein

...

2023/10/30

Target PCA: Transfer learning large dimensional panel data

Journal of Econometrics

Junting Duan

Markus Pelger

Ruoxuan Xiong

2023/10/11

State-varying factor models of large dimensions

Journal of Business & Economic Statistics

Markus Pelger

Ruoxuan Xiong

2022/6/16

Large dimensional latent factor modeling with missing observations and applications to causal inference

Journal of Econometrics

Ruoxuan Xiong

Markus Pelger

2022/6/11

Instrumental variables in causal inference and machine learning: A survey

arXiv preprint arXiv:2212.05778

Anpeng Wu

Kun Kuang

Ruoxuan Xiong

Fei Wu

2022/12/12

Interpretable sparse proximate factors for large dimensions

Journal of Business & Economic Statistics

Markus Pelger

Ruoxuan Xiong

2022/10/2

The association between alpha-1 adrenergic receptor antagonists and in-hospital mortality from COVID-19

Frontiers in Medicine

Liam Rose

Laura Graham

Allison Koenecke

Michael Powell

Ruoxuan Xiong

...

2021/3/31

Ten rules for conducting retrospective pharmacoepidemiological analyses: Example COVID-19 study

Frontiers in Pharmacology

Michael Powell

Allison Koenecke

James Brian Byrd

Akihiko Nishimura

Maximilian F Konig

...

2021/7/28

Efficient treatment effect estimation in observational studies under heterogeneous partial interference

arXiv preprint arXiv:2107.12420

Zhaonan Qu

Ruoxuan Xiong

Jizhou Liu

Guido Imbens

2021/7/26

Alpha-1 adrenergic receptor antagonists to prevent hyperinflammation and death from lower respiratory tract infection

Elife

Allison Koenecke

Michael Powell

Ruoxuan Xiong

Zhu Shen

Nicole Fischer

...

2021/6/11

Preventing cytokine storm syndrome in COVID-19 using α-1 adrenergic receptor antagonists

The Journal of clinical investigation

Maximilian F Konig

Mike Powell

Verena Staedtke

Ren-Yuan Bai

David L Thomas

...

2020/7/1

Stable prediction with model misspecification and agnostic distribution shift

Proceedings of the AAAI Conference on Artificial Intelligence

Kun Kuang

Ruoxuan Xiong

Peng Cui

Susan Athey

Bo Li

2020/4/3

Essays on Statistical Learning and Causal Inference on Panel Data

Ruoxuan Xiong

2020

See List of Professors in Ruoxuan Xiong University(Stanford University)

Co-Authors

H-index: 96
guido imbens

guido imbens

Stanford University

H-index: 75
Susan Athey

Susan Athey

Stanford University

H-index: 28
Mohsen Bayati

Mohsen Bayati

Stanford University

H-index: 25
Kun Kuang

Kun Kuang

Zhejiang University

H-index: 15
Markus Pelger

Markus Pelger

Stanford University

H-index: 6
Alex Chin

Alex Chin

Stanford University

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