Xiaoou Li
Associate Professor
School of Statistics
University of Minnesota
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Contact
Contact
Office address: 347 Ford Hall, 224 Church Street SE Minneapolis, MN 55455
Email: lixx1766 at umn.edu
Education
Education
Ph.D. in Statistics, Columbia University, 2016.
B.S. in Mathematics, Peking University, 2011.
Research Interests
Research Interests
Latent variable modeling and its application, education, psychology, and medical research
Sequential methods an change-point problems and their applications
Applied probability problems involving large and moderate deviation, rare event analysis, random matrices, Gaussian random fields, random PDEs
Publications
Publications
ArXiv Preprints
ArXiv Preprints
Suqi Liu, Tianxi Cai, and Xiaoou Li. Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning.
Journal Publications
Journal Publications
2025
Xiaoou Li and Hongru Zhao. Globally-Optimal Greedy Experiment Selection for Active Sequential Estimation. IEEE Transactions on Information Theory.
2024
Yunxiao Chen and Xiaoou Li. A Note on Entrywise Consistency for Mixed-data Matrix Completion. Journal of Machine Learning Research.
Mengyan Li, Xiaoou Li, et. al. Multisource representation learning for pediatric knowledge extraction from electronic health records. npj digital medicine.
2023
Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying.Item Response Theory -- A Statistical Framework for Educational and Psychological Measurement. Statistical Science.
Yunxiao Chen and Xiaoou Li. Compound Sequential Change-point Detection in Parallel Data Streams. Statistica Sinica.
2022
Zexian Lu, Yunxiao Chen, and Xiaoou Li, Optimal Parallel Sequential Change Detection under Generalized Performance Measures. IEEE Transactions on Signal Processing.
Doudou Zhou, et. al. Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization. Journal of Biomedical Informatics.
Yunxiao Chen, Yi-Hsuan Lee, Xiaoou Li, Item Pool Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection. Journal of Educational and Behavioral Statistics.
Yunxiao Chen and Xiaoou Li. Determining the number of factors in high-dimensional generalized latent factor models . Biometrika.
Xi Chen, Yunxiao Chen, and Xiaoou Li. Asymptotically Optimal Sequential Design for Rank Aggregation. Mathematics of Operations Research.
2021
T. Tony Cai, Tiefeng Jiang, and Xiaoou Li. Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of Random Matrices. Annals of Applied Probability.
Xiaoou Li, Yunxiao Chen, Xi Chen, Jingchen Liu, and Zhiliang Ying. Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework. Statistica Sinica.
Xu Shi, Xiaoou Li, and Tianxi Cai. Spherical regression under mismatch corruption with application to automated knowledge translation. Journal of the American Statistical Association.
2020
Yunxiao Chen, Xiaoou Li, Siliang Zhang. Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications. Journal of the American Statistical Association.
Haoran Zhang, Yunxiao Chen, and Xiaoou Li. A Note on Exploratory Item Factor Analysis by Singular Value Decomposition. Psychometrika.
2019
Shang Li, Xiaoou Li, Xiaodong Wang and Jingchen Liu. Sequential Hypothesis Testing with Usage-Constrained Online Sensor Selection. IEEE Transactions on Information Theory.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. Statistical Analysis of Complex Problem-Solving Process Data: An Event History Analysis Approach. Frontiers in Psychology.
Yunxiao Chen, Xiaoou Li, Siliang Zhang. Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis. Psychometrika. (R-package: mirtjml)
Xueying Tang, Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying . A Reinforcement Learning Approach to Personalized Learning Recommendation System. British Journal of Mathematical and Statistical Psychology.
2018
Xiaoou Li, Jingchen Liu, and Shun Xu. A Multilevel Approach towards Unbiased Sampling of Random Elliptic Partial Differential Equations. Advances in Applied Probability.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. Robust Measurement via A Fused Latent and Graphical Item Response Theory Model. Psychometrika.
Xiaoou Li, Jingchen Liu, Jianfeng Lu, and Xiang Zhou. Moderate Deviation for Random Elliptic PDE with Small Noise. Annals of Applied Probability.
Xiaoou Li and Gongjun Xu. Uniformly efficient simulation for extremes of Gaussian random fields. Journal of Applied Probability.
Xiaoou Li, Jingchen Liu, and Zhiliang Ying. Chernoff Index for Cox Test of Separate Parametric Families. Annals of Statistics.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. Recommendation System for Adaptive Learning. Applied Psychological Measurement.
2017
Shang Li, Xiaoou Li, Xiaodong Wang and Jingchen Liu. Decentralized Sequential Composite Hypothesis Test Based on One-Bit Communication. IEEE Transactions on Information Theory.
Yunxiao Chen, Xiaoou Li, Jingchen Liu, Gongjun Xu, Zhiliang Ying. Exploratory Item Classification via Spectral Graph Clustering with Applications to Large-scale Personality Assessments. Applied Psychological Measurement.
2014 - 2016
Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying (2016). Regularized Latent Class Analysis with Application in Cognitive Diagnosis. Psychometrika.
Xiaoou Li, Jingchen Liu, Gongjun Xu. (2016) On the Tail Asymptotics of Exponential Integrals of Gaussian Random Fields with Small Noise. Mathematics of Operations Research.
Xiaoou Li and Jingchen Liu. (2015) Rare-event Simulation and Efficient Discretization for the Supremum of Gaussian Random Fields. Advances in Applied Probability.
Xiaoou Li, Jingchen Liu, and Zhiliang Ying. (2014) Generalized Sequential Probability Ratio Test for Separate Families of Hypotheses. Sequential Analysis.
Refereed Conference Papers
Refereed Conference Papers
Shang Li, Xiaoou Li, Xiaodong Wang, and Jingchen Liu. Multi-Sensor Generalized Sequential Probability Ratio Test Using Level-Triggered Sampling. Proceeding of 3rd IEEE Global Conference on Signal & Information Processing, 2015.
Shang Li, Xiaoou Li, Xiaodong Wang, and Jingchen Liu, Optimal Sequential Test with Finite Horizon and Constrained Sensor Selection, IEEE International Symposium on Information Theory (ISIT), 2016.
Research is partially supported by NSF.
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