Yajun Mei

Yajun Mei

Georgia Institute of Technology

H-index: 18

North America-United States

About Yajun Mei

Yajun Mei, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Statistics, Biostatistics, Information Theory, Streaming Data Analysis.

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

Forthcoming Issue

Active learning-based multistage sequential decision-making model with application on common bile duct stone evaluation

Bandit change-point detection for real-time monitoring high-dimensional data under sampling control

Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification

Cost-efficient fixed-width confidence intervals for the difference of two Bernoulli proportions

Pivotal Estimation of Linear Discriminant Analysis in High Dimensions

Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination

Editorial to the special issue: modern streaming data analytics

Yajun Mei Information

University

Position

___

Citations(all)

1500

Citations(since 2020)

837

Cited By

999

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

32

i10Index(since 2020)

25

Email

University Profile Page

Georgia Institute of Technology

Google Scholar

View Google Scholar Profile

Yajun Mei Skills & Research Interests

Statistics

Biostatistics

Information Theory

Streaming Data Analysis

Top articles of Yajun Mei

Title

Journal

Author(s)

Publication Date

Forthcoming Issue

LAW REVIEW

HL Whiteley

2023/3

Active learning-based multistage sequential decision-making model with application on common bile duct stone evaluation

Journal of Applied Statistics

Hongzhen Tian

Reuven Zev Cohen

Chuck Zhang

Yajun Mei

2023/10/26

Bandit change-point detection for real-time monitoring high-dimensional data under sampling control

Technometrics

Wanrong Zhang

Yajun Mei

2023/1/2

Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification

arXiv preprint arXiv:2310.16310

Zichong Li

Qunzhi Xu

Zhenghao Xu

Yajun Mei

Tuo Zhao

...

2023/10/25

Cost-efficient fixed-width confidence intervals for the difference of two Bernoulli proportions

Journal of Simulation

Ignacio Erazo

David Goldsman

Yajun Mei

2023/11/19

Pivotal Estimation of Linear Discriminant Analysis in High Dimensions

Journal of Machine Learning Research

Ethan X Fang

Yajun Mei

Yuyang Shi

Qunzhi Xu

Tuo Zhao

2023

Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination

Yuyang Shi

Aditya Deshmukh

Yajun Mei

Venugopal Veeravalli

2023/6/25

Editorial to the special issue: modern streaming data analytics

Yajun Mei

Jay Bartroff

Jie Chen

Georgios Fellouris

Ruizhi Zhang

2023/10/26

836: INTRACRANIAL PRESSURE IS NOT ALTERED BY JUGULAR VEIN CENTRAL LINE PLACEMENT

Critical Care Medicine

Feras Akbik

Yuyang Shi

Niara Foster

Merin Williams

Sena Andea

...

2023/1/1

Asymptotic optimality theory for active quickest detection with unknown postchange parameters

Sequential Analysis

Qunzhi Xu

Yajun Mei

2023/4/3

Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection

Journal of Applied Statistics

Jiuyun Hu

Yajun Mei

Sarah Holte

Hao Yan

2023/10/26

Surge capacity in the COVID-19 era: a natural experiment of neurocritical care in general critical care

Neurocritical care

Steven Philips

Yuyang Shi

Craig M Coopersmith

Owen B Samuels

Cederic Pimentel-Farias

...

2023/4

Hot-spots detection in count data by Poisson assisted smooth sparse tensor decomposition

Journal of Applied Statistics

Yujie Zhao

Xiaoming Huo

Yajun Mei

2023/10/26

Active quickest detection when monitoring multi-streams with two affected streams

Qunzhi Xu

Yajun Mei

2022/6/26

Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size

Wanrong Zhang

Yajun Mei

Rachel Cummings

2022/5/3

Predicting the rheology of limestone calcined clay cements (LC3): Linking composition and hydration kinetics to yield stress through Machine Learning

Cement and Concrete Research

Oğulcan Canbek

Qunzhi Xu

Yajun Mei

NR Washburn

Kimberly E Kurtis

2022/10/1

The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models

Yiling Luo

Xiaoming Huo

Yajun Mei

2022/6/26

Robustness and Tractability for Nonconvex M-estimators

Statistica Sinica

Ruizhi Zhang

Yajun Mei

Jianjun Shi

Huan Xu

2022/1/1

Asymptotic Theory of -Regularized PDE Identification from a Single Noisy Trajectory

SIAM/ASA Journal on Uncertainty Quantification

Yuchen He

Namjoon Suh

Xiaoming Huo

Sung Ha Kang

Yajun Mei

2022/9/30

Implicit regularization properties of variance reduced stochastic mirror descent

Yiling Luo

Xiaoming Huo

Yajun Mei

2022/6/26

See List of Professors in Yajun Mei University(Georgia Institute of Technology)