Information bounds and asymptotically optimal procedures for detecting changes in decentralized decision systems. - Yajun Mei (ISIT, 2004)

Information Bounds for Decentralized Sequential Detection. - Yajun Mei (ISIT, 2006)

Optimal stationary binary quantizer for decentralized quickest change detection in hidden Markov models. - Cheng-Der Fuh; Yajun Mei (FUSION, 2008)

Asymptotic Optimality Theory for Decentralized Sequential Hypothesis Testing in Sensor Networks. - Yajun Mei (IEEE Trans. Inf. Theory, 2008)

Decentralized two-sided sequential tests for A normal mean. - Yan Wang; Yajun Mei (ISIT, 2009)

Linear-mixed effects models for feature selection in high-dimensional NMR spectra. - Yajun Mei; Seoung Bum Kim; Kwok-Leung Tsui (Expert Syst. Appl., 2009)

Decentralized multihypothesis sequential detection. - Yan Wang; Yajun Mei (ISIT, 2010)

Quickest detection in censoring sensor networks. - Yajun Mei (ISIT, 2011)

Asymptotic Optimality Theory for Decentralized Sequential Multihypothesis Testing Problems. - Yan Wang; Yajun Mei (IEEE Trans. Inf. Theory, 2011)

Quantization effect on second moment of log-likelihood ratio and its application to decentralized sequential detection. - Yan Wang; Yajun Mei (ISIT, 2012)

Quantization Effect on the Log-Likelihood Ratio and Its Application to Decentralized Sequential Detection. - Yan Wang; Yajun Mei (IEEE Trans. Signal Process., 2013)

Online parallel monitoring via hard-thresholding post-change estimation. - Yuan Wang 007; Yajun Mei (ISIT, 2014)

An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring. - Kaibo Liu; Yajun Mei; Jianjun Shi 001 (Technometrics, 2015)

Large-Scale Multi-Stream Quickest Change Detection via Shrinkage Post-Change Estimation. - Yuan Wang 007; Yajun Mei (IEEE Trans. Inf. Theory, 2015)

Quickest Change Detection and Kullback-Leibler Divergence for Two-State Hidden Markov Models. - Cheng-Der Fuh; Yajun Mei (IEEE Trans. Signal Process., 2015)

Sequential estimation based on conditional cost. - George V. Moustakides; Tony Yaacoub; Yajun Mei (ISIT, 2017)

Search for evergreens in science: A functional data analysis. - Ruizhi Zhang 001; Jian Wang 002; Yajun Mei (J. Informetrics, 2017)

Differentially Private Change-Point Detection. - Rachel Cummings; Sara Krehbiel; Yajun Mei; Rui Tuo; Wanrong Zhang 001 (NeurIPS, 2018)

Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring. - Yuan Wang 007; Yajun Mei; Kamran Paynabar (Technometrics, 2018)

Adaptive Online Monitoring of the Ising model. - Namjoon Suh; Ruizhi Zhang 001; Yajun Mei (Allerton, 2019)

Optimal Stopping for Interval Estimation in Bernoulli Trials. - Tony Yaacoub; George V. Moustakides; Yajun Mei (IEEE Trans. Inf. Theory, 2019)

Second-Order Asymptotically Optimal Change-point Detection Algorithm with Sampling Control. - Qunzhi Xu; Yajun Mei; George V. Moustakides (ISIT, 2020)

Improved performance properties of the CISPRT algorithm for distributed sequential detection. - Kun Liu; Yajun Mei (Signal Process., 2020)

Multi-Stream Quickest Detection with Unknown Post-Change Parameters Under Sampling Control. - Qunzhi Xu; Yajun Mei (ISIT, 2021)

Asymptotic Theory of 𝓁1-Regularized PDE Identification from a Single Noisy Trajectory. - Yuchen He 001; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (CoRR, 2021)

Editorial: Mathematical Fundamentals of Machine Learning. - David Glickenstein; Keaton Hamm; Xiaoming Huo; Yajun Mei; Martin Stoll (Frontiers Appl. Math. Stat., 2021)

Nonparametric monitoring of multivariate data via KNN learning. - Wendong Li; Chi Zhang; Fugee Tsung; Yajun Mei (Int. J. Prod. Res., 2021)

Single and Multiple Change-Point Detection with Differential Privacy. - Wanrong Zhang 001; Sara Krehbiel; Rui Tuo; Yajun Mei; Rachel Cummings (J. Mach. Learn. Res., 2021)

Optimum Multi-Stream Sequential Change-Point Detection With Sampling Control. - Qunzhi Xu; Yajun Mei; George V. Moustakides (IEEE Trans. Inf. Theory, 2021)

Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. - Wanrong Zhang 001; Yajun Mei; Rachel Cummings (AISTATS, 2022)

Efficient Sequential UCB-based Hungarian Algorithm for Assignment Problems. - Yuyang Shi; Yajun Mei (Allerton, 2022)

The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. - Yiling Luo; Xiaoming Huo; Yajun Mei (ISIT, 2022)

Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. - Yiling Luo; Xiaoming Huo; Yajun Mei (ISIT, 2022)

Active Quickest Detection When Monitoring Multi-streams with Two Affected Streams. - Qunzhi Xu; Yajun Mei (ISIT, 2022)

Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation. - Hongzhen Tian; Reuven Zev Cohen; Chuck Zhang; Yajun Mei (CoRR, 2022)

Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection. - Jiuyun Hu; Yajun Mei; Sarah Holte; Hao Yan (CoRR, 2022)

Covariance Estimators for the ROOT-SGD Algorithm in Online Learning. - Yiling Luo; Xiaoming Huo; Yajun Mei (CoRR, 2022)

Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties. - Hongzhen Tian; Andi Wang 001; Jialei Chen 002; Xuzhou Jiang; Jianjun Shi 001; Chuck Zhang; Yajun Mei; Ben Wang 001 (IEEE Trans Autom. Sci. Eng., 2022)

Adaptive Partially Observed Sequential Change Detection and Isolation. - Xinyu Zhao; Jiuyun Hu; Yajun Mei; Hao Yan (Technometrics, 2022)

Asymptotic Theory of ( boldsymbol ell _1 ) -Regularized PDE Identification from a Single Noisy Trajectory. - Yuchen He 001; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (SIAM/ASA J. Uncertain. Quantification, 2022)

Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination. - Yuyang Shi; Aditya Deshmukh; Yajun Mei; Venugopal V. Veeravalli (ISIT, 2023)

Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification. - Zichong Li; Qunzhi Xu; Zhenghao Xu; Yajun Mei; Tuo Zhao; Hongyuan Zha (CoRR, 2023)

Pivotal Estimation of Linear Discriminant Analysis in High Dimensions. - Ethan X. Fang; Yajun Mei; Yuyang Shi; Qunzhi Xu; Tuo Zhao (J. Mach. Learn. Res., 2023)

Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control. - Wanrong Zhang 001; Yajun Mei (Technometrics, 2023)

Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process. - Zichong Li; Qunzhi Xu; Zhenghao Xu; Yajun Mei; Tuo Zhao; Hongyuan Zha (ICML, 2024)

Quickest Detection in High-Dimensional Linear Regression Models via Implicit Regularization. - Qunzhi Xu; Yi Yu; Yajun Mei (ISIT, 2024)

Monitoring High-Dimensional Streaming Data via Fusing Nonparametric Shiryaev-Roberts Statistics. - Xinyuan Zhang; Yajun Mei (ISIT, 2024)

Cost-efficient fixed-width confidence intervals for the difference of two Bernoulli proportions. - Ignacio Erazo; David Goldsman; Yajun Mei (J. Simulation, 2024)