Yajun Mei
Orcid: 0000-0002-1015-990X
According to our database1,
Yajun Mei
authored at least 47 papers
between 2004 and 2024.
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Bibliography
2024
Monitoring High-Dimensional Streaming Data via Fusing Nonparametric Shiryaev-Roberts Statistics.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Quickest Detection in High-Dimensional Linear Regression Models via Implicit Regularization.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control.
Technometrics, January, 2023
J. Mach. Learn. Res., 2023
Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification.
CoRR, 2023
Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination.
Proceedings of the IEEE International Symposium on Information Theory, 2023
2022
Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory.
SIAM/ASA J. Uncertain. Quantification, March, 2022
Technometrics, 2022
Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties.
IEEE Trans Autom. Sci. Eng., 2022
Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection.
CoRR, 2022
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation.
CoRR, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models.
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Trans. Inf. Theory, 2021
J. Mach. Learn. Res., 2021
Int. J. Prod. Res., 2021
Frontiers Appl. Math. Stat., 2021
Asymptotic Theory of 𝓁<sub>1</sub>-Regularized PDE Identification from a Single Noisy Trajectory.
CoRR, 2021
Multi-Stream Quickest Detection with Unknown Post-Change Parameters Under Sampling Control.
Proceedings of the IEEE International Symposium on Information Theory, 2021
2020
Improved performance properties of the CISPRT algorithm for distributed sequential detection.
Signal Process., 2020
Second-Order Asymptotically Optimal Change-point Detection Algorithm with Sampling Control.
Proceedings of the IEEE International Symposium on Information Theory, 2020
2019
IEEE Trans. Inf. Theory, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring.
Technometrics, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
2015
Quickest Change Detection and Kullback-Leibler Divergence for Two-State Hidden Markov Models.
IEEE Trans. Signal Process., 2015
Large-Scale Multi-Stream Quickest Change Detection via Shrinkage Post-Change Estimation.
IEEE Trans. Inf. Theory, 2015
Technometrics, 2015
2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
2013
Quantization Effect on the Log-Likelihood Ratio and Its Application to Decentralized Sequential Detection.
IEEE Trans. Signal Process., 2013
2012
Quantization effect on second moment of log-likelihood ratio and its application to decentralized sequential detection.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
2011
Asymptotic Optimality Theory for Decentralized Sequential Multihypothesis Testing Problems.
IEEE Trans. Inf. Theory, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
2009
Expert Syst. Appl., 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
2008
Asymptotic Optimality Theory for Decentralized Sequential Hypothesis Testing in Sensor Networks.
IEEE Trans. Inf. Theory, 2008
Optimal stationary binary quantizer for decentralized quickest change detection in hidden Markov models.
Proceedings of the 11th International Conference on Information Fusion, 2008
2006
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006
2004
Information bounds and asymptotically optimal procedures for detecting changes in decentralized decision systems.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004