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    Faculty & Research

    homepage  Faculty & Research  Faculty  Professor  Department of Statistics and Data Science

    Xia Yin

    Professor

    Statistics and Data Science

    Add: Guoshun Road Siyuan Building Room 502, Siyuan Building

    Tel:

    E-mail: xiayin@fudan.edu.cn

    Research Field: High-dimensional Statistical Inference, Large-scale Multiple Testing, Multivariate Statistical Analysis, Nonparametric Functional Estimation, Shape-constrained Inference

    Website: https://sites.google.com/view/yinxia

    Teacher information
    Achievements in scientific research
    Academic activities and community service

    Educational Background

    Doctor Degree,Statistics,University of Pennsylvania, USA

    Bachelor Degree,Mathematics & Applied Mathematics,Zhejiang University

    Awards on Research

    2025.09,The 17th Shanghai Philosophy and Social Science Excellent Achievement Award,Second Prize,Shanghai Municipal Committee of the Communist Party of China

    2025.01,Outstanding Research Award,复旦大学管理学院

    2023.11,The 16th Shanghai Philosophy and Social Science Excellent Achievement Award,First Prize,Shanghai Philosophy and Social Science Excellence Award Committee Office

    2021.01,Outstanding Research Award,School of Management, Fudan University

    2020.12,The Outstanding Youth Achievement Award for Scientific Research in Philosophy and Social Science,Ministry of Education

    2020.01,Outstanding Research Award,School of Management, Fudan University

    Title of Honour

    2022.01,Eminent Faculty Award, School of Management, Fudan University,School of Management, Fudan University

    2021.03,2019-2020 Fudan University March-Eighth Red-Banner Pacesetter, Fudan University, Women Commissions,Fudan University, Women Commissions

    2020.12,The Nomination Award for the 17th Young Women Scientists Award, Chinese Association for Applied Statistics,Chinese Association for Applied Statistics

    2018.01,Outstanding Young Fellow Award, School of Management, Fudan University,School of Management, Fudan University

    2014.12,UNC Junior Faculty Development Award,The University of North Carolina at Chapel Hill

    2013.04,IMS Travel Award,IMS


    Journal Papers


    1.Li Ma, Yin Xia, and Lexin Li. 2025. NAPA: Neighborhood-assisted and posterior-adjusted two-sample inference. Statistica Sinica 35(4) 2233-2257.  



    2.Xin Zhou, Yin Xia, and Lexin Li. 2025. Estimation and inference for high-dimensional multi-response growth curve model. Statistica Sinica forthcoming 1-41.  



    3.Li Ma, Shenghao Qin, and Yin Xia. 2025. Alteration detection of tensor dependence structure via sparsity-exploited reranking algorithm. Journal of Multivariate Analysis 206 1-23.  



    4.Yinrui Sun, Li Ma, and Yin Xia. 2024. A decorrelating and debiasing approach to simultaneous inference for high-dimensional confounded models. Journal of the American Statistical Association 119(548) 2857-2868.  



    5.Ziyi Liang, T. Tony Cai, Wenguang Sun, and Yin Xia. 2024. A locally adaptive algorithm for multiple testing with network structure. Statistica Sinica forthcoming 1-38.  



    6.Xuan Wang, Molei Liu, Isabelle‑Emmanuella Nogues, Tony Chen, Xin Xiong, Clara‑Lea Bonzel, Harrison Zhang, Chuan Hong, Yin Xia, Kumar Dahal, Lauren Costa, Jing Cui, VA Million Veteran Program, J. Michael Gaziano, Seoyoung C. Kim, Yuk‑Lam Ho, Kelly Cho, Ti. 2024. Heterogeneous associations between interleukin-6 receptor variants and phenotypes across ancestries and implications for therapy. Scientific Reports 14 1-12.  



    7.T. Tony Cai, Zijian Guo, and Yin Xia. 2023. Rejoinder on: Statistical inference and large-scale multiple testing for high-dimensional regression models. Test 32 1187–1194.  



    8.T. Tony Cai, Zijian Guo, and Yin Xia. 2023. Statistical inference and large-scale multiple testing for high-dimensional regression models. Test 32 1135–1171.  



    9.Yin Xia and T. Tony Cai. 2023. Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Xing, and Liu. Journal of the American Statistical Association 118(543) 1569-1572.  



    10.Hao Chen and Yin Xia. 2023. A normality test for high-dimensional data based on the nearest neighbor approach. Journal of the American Statistical Association 118(541) 719–731.  



    11.Xin Chen, Dan Yang, Yan Xu, Yin Xia, Dong Wang, and Haipeng Shen. 2023. Testing and support recovery of correlation structures for matrix-valued observations with an application to stock market data. Journal of Econometrics 232(2) 544-564.  



    12.Tianxi Cai, Molei Liu, and Yin Xia. 2022. Individual data protected integrative regression analysis of high-dimensional heterogeneous data. Journal of the American Statistical Association 117(540) 2105-2119.  



    13.T. Tony Cai, Wenguang Sun, and Yin Xia. 2022. LAWS: A locally adaptive weighting and screening approach to spatial multiple testing. Journal of the American Statistical Association 117(539) 1370-1383.  



    14.Yin Xia and Lexin Li. 2022. Hypothesis testing for network data with power enhancement. Statistica Sinica 32(1) 293-321.  



    15.Yuting Ye, Yin Xia, and Lexin Li. 2021. Paired test of matrix graphs and brain connectivity analysis. Biostatistics 22(2) 402–420.  



    16.Molei Liu, Yin Xia, Kelly Cho, and Tianxi Cai. 2021. Integrative high dimensional multiple testing with heterogeneity under data sharing constraints. Journal of Machine Learning Research 22 1-26.  



    17.Yin Xia, T. Tony Cai, and Wenguang Sun. 2020. GAP: A general framework for information pooling in two-sample sparse inference. Journal of the American Statistical Association 115(531) 1236-1250.  



    18.Yin Xia, Lexin Li, Samuel N. Lockhart, and William J. Jagust. 2020. Simultaneous covariance inference for multimodal integrative analysis. Journal of the American Statistical Association 115(531) 1279-1291.  



    19.T. T. Cai, H. Li, J. Ma, and Y. Xia. 2019. Differential Markov random field analysis with an application to detecting differential microbial community networks. Biometrika 106(2) 401-416.  



    20.Yin Xia and Lexin Li. 2019. Matrix graph hypothesis testing and application in brain connectivity alternation detection. Statistica Sinica 29(1) 303-328.  



    21.Yin Xia, T.Tony Cai, and Hongzhe Li. 2018. Joint testing and false discovery rate control in high-dimensional multivariate regression. Biometrika 105(2) 249-269.  



    22.Yin Xia, Tianxi Cai, and T. Tony Cai. 2018. Multiple testing of submatrices of a precision matrix with applications to identification of between pathway interactions. Journal of the American Statistical Association 113(521) 328-339.  



    23.Yin Xia, Tianxi Cai, and T. Tony Cai. 2018. Two-sample tests for high-dimensional linear regression with an application to detecting interactions. Statistica Sinica 28(1) 63-92.  



    24.Yin Xia. 2017. Testing and support recovery of multiple high-dimensional covariance matrices with false discovery rate control. Test 26(4) 782-801.  



    25.Yin Xia and Lexin Li. 2017. Hypothesis testing of matrix graph model with application to brain connectivity analysis. Biometrics 73(3) 780-791.  



    26.Yin Xia, Tianxi Cai, and T.Tony Cai. 2015. Testing differential networks with applications to the detection of gene-gene interactions. Biometrika 102(2) 247-266.  



    27.T.Tony Cai and Yin Xia. 2014. High-dimensional sparse MANOVA. Journal of Multivariate Analysis 131 174-196.  



    28.T. Tony Cai, Weidong Liu, and Yin Xia. 2014. Two-sample test of high dimensional means under dependence. Journal of the Royal Statistical Society Series B-Statistical Methodology 76(2) 349-372.  



    29.T.Tony Cai, Mark G. Low, and Yin Xia. 2013. Adaptive confidence intervals for regression functions under shape constraints. The Annals of Statistics 41(2) 722-750.  



    30.Tony Cai, Weidong Liu, and Yin Xia. 2013. Two-sample covariance matrix testing and support recovery in high-dimensional and sparse settings. Journal of the American Statistical Association 108(501) 265-277.  


    Research Projects

    2024.01—2028.12, Principal Investigator of Sub-, Statistical Inference of Multi-source Heterogeneous Data based on Information Fusion and Migration, National Natural Science Foundation of China

    2018.01—2021.12, Principal Investigator, Statistical Inference and Applications on Differential Models in the Big Data Era, National Natural Science Foundation of China

    2017.01—2021.12, Member, Optimal Statistical Inference for non-IID Data, National Natural Science Foundation of China