Xiaoou Li (CV)

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Assistant Professor

School of Statistics

University of Minnesota

Contact

347 Ford Hall, 224 Church Street SE

Minneapolis, MN 55455

Email: lixx1766 at umn.edu

Education

Ph.D. in Statistics, Columbia University, 2016.

B.S. in Mathematics, Peking University, 2011.

Research Interests

Journal Publications

  1. Yunxiao Chen, Xiaoou Li, Siliang Zhang. (2019+) Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications. Journal of the American Statistical Association.

  2. Xiaoou Li, Yunxiao Chen, Xi Chen, Jingchen Liu, and Zhiliang Ying. (2019+) Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework. Statistica Sinica.

  3. Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. (2019) Statistical Analysis of Complex Problem-Solving Process Data: An Event History Analysis Approach. Frontiers in Psychology

  4. Shang Li, Xiaoou Li, Xiaodong Wang and Jingchen Liu. (2019) Sequential Hypothesis Testing with Usage-Constrained Online Sensor Selection. IEEE Transactions on Information Theory.

  5. Yunxiao Chen, Xiaoou Li, Siliang Zhang. (2019+) Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis. Psychometrika. (R-package: mirtjml)

  6. Xueying Tang, Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying (2019+) A Reinforcement Learning Approach to Personalized Learning Recommendation System. British Journal of Mathematical and Statistical Psychology.

  7. Xiaoou Li, Jingchen Liu, and Shun Xu (2018). A Multilevel Approach towards Unbiased Sampling of Random Elliptic Partial Differential Equations. Advances in Applied Probability.

  8. Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying (2018) Robust Measurement via A Fused Latent and Graphical Item Response Theory Model. Psychometrika.

  9. Xiaoou Li, Jingchen Liu, Jianfeng Lu, and Xiang Zhou. (2018) Moderate Deviation for Random Elliptic PDE with Small Noise. Annals of Applied Probability.

  10. Xiaoou Li and Gongjun Xu. (2018) Uniformly efficient simulation for extremes of Gaussian random fields. Journal of Applied Probability.

  11. Xiaoou Li, Jingchen Liu, and Zhiliang Ying. (2018) Chernoff Index for Cox Test of Separate Parametric Families. Annals of Statistics.

  12. Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. (2018) Recommendation System for Adaptive Learning. Applied Psychological Measurement.

  13. Shang Li, Xiaoou Li, Xiaodong Wang and Jingchen Liu. (2017) Decentralized Sequential Composite Hypothesis Test Based on One-Bit Communication. IEEE Transactions on Information Theory.

  14. Yunxiao Chen, Xiaoou Li, Jingchen Liu, Gongjun Xu, Zhiliang Ying. (2017) Exploratory Item Classification via Spectral Graph Clustering with Applications to Large-scale Personality Assessments. Applied Psychological Measurement.

  15. Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. (2016) Regularized Latent Class Analysis with Application in Cognitive Diagnosis. Psychometrika.

  16. 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.

  17. Xiaoou Li and Jingchen Liu. (2015) Rare-event Simulation and Efficient Discretization for the Supremum of Gaussian Random Fields. Advances in Applied Probability.

  18. Xiaoou Li, Jingchen Liu, and Zhiliang Ying. (2014) Generalized Sequential Probability Ratio Test for Separate Families of Hypotheses. Sequential Analysis.

Arxiv Preprints

  1. Yunxiao Chen and Xiaoou Li Compound Sequential Change Point Detection in Multiple Data Streams

  2. Haoran Zhang, Yunxiao Chen, and Xiaoou Li. A Note on Exploratory Item Factor Analysis by Singular Value Decomposition.

  3. T. Tony Cai, Tiefeng Jiang, and Xiaoou Li. Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of Random Matrices.

  4. Xu Shi, Xiaoou Li, and Tianxi Cai. Spherical regression under mismatch corruption with application to automated knowledge translation.

  5. Jose Blanchet, Fengpei Li, and Xiaoou Li. Unbiased Sampling of Multidimensional Partial Differential Equations with Random Coefficients.

  6. Xi Chen, Yunxiao Chen, and Xiaoou Li. Asymptotically Optimal Sequential Design for Rank Aggregation

  7. Yunxiao Chen, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. A Fused Latent and Graphical Model for Multivariate Binary Data.

Refereed Conference Papers

  1. 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.

  2. 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.

Acknowledgement

Research is partially supported by NSF DMS-1712657.