Yajun Mei - RankMe

56 papers A* 2A 1B 18C 1Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Precise False Alarm Rate of the SUM-CUSUM Scheme for High-Dimensional Streaming Data. ISIT Yajun Mei, Benjamin Yakir
2025	J	`jnl`	Predicting confirmed cases of various epidemics using global temporal-feature-based graph convolutional network. Knowl. Based Syst. Jisu Kang, Jin Sob Kim, Hyun Joon Park, Soyeon Lee, Ye Ji Han, Yajun Mei, Sung Won Han
2024	A*	`conf`	Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process. ICML Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha
2024	J	`jnl`	Cost-efficient fixed-width confidence intervals for the difference of two Bernoulli proportions. J. Simulation Ignacio Erazo, David Goldsman, Yajun Mei
2024	B	`conf`	Monitoring High-Dimensional Streaming Data via Fusing Nonparametric Shiryaev-Roberts Statistics. ISIT Xinyuan Zhang, Yajun Mei
2024	B	`conf`	Quickest Detection in High-Dimensional Linear Regression Models via Implicit Regularization. ISIT Qunzhi Xu, Yi Yu, Yajun Mei
2023	J	`jnl`	Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control. Technometrics Wanrong Zhang, Yajun Mei
2023	J	`jnl`	Pivotal Estimation of Linear Discriminant Analysis in High Dimensions. J. Mach. Learn. Res. Ethan X. Fang, Yajun Mei, Yuyang Shi, Qunzhi Xu, Tuo Zhao
2023	B	`conf`	Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination. ISIT Yuyang Shi, Aditya Deshmukh, Yajun Mei, Venugopal V. Veeravalli
2023	J	`jnl`	Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification. CoRR Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha
2022	J	`jnl`	Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation. CoRR Hongzhen Tian, Reuven Zev Cohen, Chuck Zhang, Yajun Mei
2022	B	`conf`	Active Quickest Detection When Monitoring Multi-streams with Two Affected Streams. ISIT Qunzhi Xu, Yajun Mei
2022	J	`jnl`	Adaptive Partially Observed Sequential Change Detection and Isolation. Technometrics Xinyu Zhao, Jiuyun Hu, Yajun Mei, Hao Yan
2022	J	`jnl`	Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection. CoRR Jiuyun Hu, Yajun Mei, Sarah Holte, Hao Yan
2022	J	`jnl`	Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory. SIAM/ASA J. Uncertain. Quantification Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei
2022	J	`jnl`	Covariance Estimators for the ROOT-SGD Algorithm in Online Learning. CoRR Yiling Luo, Xiaoming Huo, Yajun Mei
2022	—	`conf`	Efficient Sequential UCB-based Hungarian Algorithm for Assignment Problems. Allerton Yuyang Shi, Yajun Mei
2022	B	`conf`	Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. ISIT Yiling Luo, Xiaoming Huo, Yajun Mei
2022	J	`jnl`	Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. CoRR Yiling Luo, Xiaoming Huo, Yajun Mei
2022	A	`conf`	Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. AISTATS Wanrong Zhang, Yajun Mei, Rachel Cummings
2022	J	`jnl`	Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size. CoRR Wanrong Zhang, Yajun Mei, Rachel Cummings
2022	B	`conf`	The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. ISIT Yiling Luo, Xiaoming Huo, Yajun Mei
2022	J	`jnl`	The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. CoRR Yiling Luo, Xiaoming Huo, Yajun Mei
2022	J	`jnl`	Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties. IEEE Trans Autom. Sci. Eng. Hongzhen Tian, Andi Wang, Jialei Chen, Xuzhou Jiang, Jianjun Shi, Chuck Zhang, Yajun Mei, Ben Wang
2021	J	`jnl`	Asymptotic Theory of 𝓁 CoRR Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei
2021	J	`jnl`	Editorial: Mathematical Fundamentals of Machine Learning. Frontiers Appl. Math. Stat. David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll
2021	B	`conf`	Multi-Stream Quickest Detection with Unknown Post-Change Parameters Under Sampling Control. ISIT Qunzhi Xu, Yajun Mei
2021	J	`jnl`	Nonparametric monitoring of multivariate data via KNN learning. Int. J. Prod. Res. Wendong Li, Chi Zhang, Fugee Tsung, Yajun Mei
2021	J	`jnl`	Optimum Multi-Stream Sequential Change-Point Detection With Sampling Control. IEEE Trans. Inf. Theory Qunzhi Xu, Yajun Mei, George V. Moustakides
2021	J	`jnl`	Single and Multiple Change-Point Detection with Differential Privacy. J. Mach. Learn. Res. Wanrong Zhang, Sara Krehbiel, Rui Tuo, Yajun Mei, Rachel Cummings
2020	J	`jnl`	Improved performance properties of the CISPRT algorithm for distributed sequential detection. Signal Process. Kun Liu, Yajun Mei
2020	B	`conf`	Second-Order Asymptotically Optimal Change-point Detection Algorithm with Sampling Control. ISIT Qunzhi Xu, Yajun Mei, George V. Moustakides
2019	—	`conf`	Adaptive Online Monitoring of the Ising model. Allerton Namjoon Suh, Ruizhi Zhang, Yajun Mei
2019	J	`jnl`	Optimal Stopping for Interval Estimation in Bernoulli Trials. IEEE Trans. Inf. Theory Tony Yaacoub, George V. Moustakides, Yajun Mei
2018	A*	`conf`	Differentially Private Change-Point Detection. NeurIPS Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang
2018	J	`jnl`	Differentially Private Change-Point Detection. CoRR Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang
2018	J	`jnl`	Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring. Technometrics Yuan Wang, Yajun Mei, Kamran Paynabar
2017	J	`jnl`	Search for Evergreens in Science: A Functional Data Analysis. CoRR Ruizhi Zhang, Jian Wang, Yajun Mei
2017	J	`jnl`	Search for evergreens in science: A functional data analysis. J. Informetrics Ruizhi Zhang, Jian Wang, Yajun Mei
2017	B	`conf`	Sequential estimation based on conditional cost. ISIT George V. Moustakides, Tony Yaacoub, Yajun Mei
2015	J	`jnl`	An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring. Technometrics Kaibo Liu, Yajun Mei, Jianjun Shi
2015	J	`jnl`	Large-Scale Multi-Stream Quickest Change Detection via Shrinkage Post-Change Estimation. IEEE Trans. Inf. Theory Yuan Wang, Yajun Mei
2015	J	`jnl`	Quickest Change Detection and Kullback-Leibler Divergence for Two-State Hidden Markov Models. IEEE Trans. Signal Process. Cheng-Der Fuh, Yajun Mei
2015	B	`conf`	Quickest change detection and Kullback-Leibler divergence for two-state hidden Markov models. ISIT Cheng-Der Fuh, Yajun Mei
2014	B	`conf`	Online parallel monitoring via hard-thresholding post-change estimation. ISIT Yuan Wang, Yajun Mei
2013	J	`jnl`	Quantization Effect on the Log-Likelihood Ratio and Its Application to Decentralized Sequential Detection. IEEE Trans. Signal Process. Yan Wang, Yajun Mei
2012	B	`conf`	Quantization effect on second moment of log-likelihood ratio and its application to decentralized sequential detection. ISIT Yan Wang, Yajun Mei
2011	J	`jnl`	Asymptotic Optimality Theory for Decentralized Sequential Multihypothesis Testing Problems. IEEE Trans. Inf. Theory Yan Wang, Yajun Mei
2011	B	`conf`	Quickest detection in censoring sensor networks. ISIT Yajun Mei
2010	B	`conf`	Decentralized multihypothesis sequential detection. ISIT Yan Wang, Yajun Mei
2009	B	`conf`	Decentralized two-sided sequential tests for A normal mean. ISIT Yan Wang, Yajun Mei
2009	J	`jnl`	Linear-mixed effects models for feature selection in high-dimensional NMR spectra. Expert Syst. Appl. Yajun Mei, Seoung Bum Kim, Kwok-Leung Tsui
2008	J	`jnl`	Asymptotic Optimality Theory for Decentralized Sequential Hypothesis Testing in Sensor Networks. IEEE Trans. Inf. Theory Yajun Mei
2008	C	`conf`	Optimal stationary binary quantizer for decentralized quickest change detection in hidden Markov models. FUSION Cheng-Der Fuh, Yajun Mei
2006	B	`conf`	Information Bounds for Decentralized Sequential Detection. ISIT Yajun Mei
2004	B	`conf`	Information bounds and asymptotically optimal procedures for detecting changes in decentralized decision systems. ISIT Yajun Mei