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Yanlin Tang

  • About
    • Department: Statistics
    • Gender: male
    • Post: Professor
    • Graduate School: Fudan University
    • Degree: Ph.D.
    • Academic Credentials: Ph.D.
    • Tel:
    • Email: yltang@fem.ecnu.edu.cn
    • Office: Science Building A1708a
    • Address:
    • PostCode: 200062
    • Fax:

    WorkExperience

    Professor & Doctor supervisor, 2019.01-now, School of Statistics, East China Normal University

    Research Professor & Doctor supervisor, 2019.01-2023.09, School of Statistics, East China Normal University

    Assistant & Associate Professor, 2012.05-2018.12, School of Mathematical Sciences, Tongji University


    Oversea:

    Postdoc, 2015.09-2017.09, Department of Statistics, GeorgeWashington University (Huixia Judy Wang)

    Visiting Scholar, 2014.08, Department of Industrial & Systems Engineering, National University of Singapore

    Research Assistant/Associate 2011.05-08, 2012.01-02, 2012.07-08, 2015.07-08, 2018.07-08, 2019.07-08, 2020.01-02, Department of Statistics, The ChineseUniversity of HongKong

    Visiting Student, 2009.10-2010.09, Department of Statistics, University of Illinois at Urbana-Champaign

    Visiting Student, 2010.01-2010.02, Department of Statistics, North Carolina State University

    Education

    2012.01 Ph.D., Department of Statistics, Fudan University (Advisor: Prof Zhong-yi Zhu)

    2006.07 Bachelor, Department of Mathematics, Tongji University

    Resume

    Yanlin Tang is currently full Professor and Doctor supervisor in School of Statistics in ECNU. He obtained his Ph.D. in Jan 2012, from Department of Statistics, Fudan University. He joined Tongji University in May 2012, and joined East China Normal University in Jan 2019. His research interest includes Quantile Regression, High-dimensional Inference, Incomplete Data Analysis, and he is PI of several NSFC and NSF-Shanghai grant, AE of Statistica Sinica and Journal of the Korean Statistical Society. He published more than 30 papers in SCI journals such as Biometrika, JRSSB, PNAS, Biometrics.

    Other Appointments

    Associate Editor:

    Statistica Sinica 2023.8-

    Journal of the Korean Statistical Society 2020.1-


    Reviewer:

    The Annals of Statistics, Journal of American Statistical Association, Biometrika, Journal of Machine Learning Research, Journal of Business and Economic Statistics, Technometrics, Statistica Sinica, Scandinavian Journal of Statistics, Journal of Multivariate Analysis, Journal of Statistical Planning and Inference, Canadian Journal of Statistics, Science China Mathematics, Environmetrics, 中国科学(中文)、应用概率统计

    Research Fields

    Quantile regression

    High-dimensional inference

    Incomplete data analysis


    Enrollment and Training

    Course

    Time Series Analysis (Undergraduate)、Applied Time Series Analysis (Master)

    Scientific

    NSFC General, Distribnuted Conformal Prediction for Clustered Data with Missing Responses (PI), No. 12371265, 2024.01-2027.12

    NSFC General, Statistical Inference in High-Dimensional Quantile Regression with Longitudinal Data (PI), No.11871376, 2019.01-2022.12

    NSFC Youth, Model Selection in QuantileRegression with Panel Data (PI), 11301391, 2014.01-2016.12


    Natural Science Foundation of Shanghai, Quantile Regression for Complex Data Analysis (PI), No. 21ZR1420700, 2021.07-2024.06

    Shanghai PJ, Statistical Inference in High Dimensional Quantile Regression with Application (PI), 2018.07-2020.06


    Academic Achievements

    Selected:

    11 Xiaorui Wang#, Jing Yang#, Yinfeng Wang#, Yanlin Tang*, Jianqing Shi*. (2024+). Multiply robust estimation for general multivalued treatment effects with missing outcomes.  Science China-Mathematics, accepted.

    10 Yudong Wang, Yanlin Tang, Zhisheng Ye*. (2022). Paired or partially paired two-sample tests with unordered samples. Journal of the Royal Statistical Society, Series B, 84, 1503-1525.

    Yanlin Tang, Huixia  Judy Wang*, Emre Barut (2018). Testing the presence of significant covariates  through conditional marginal regression. Biometrika,  105(1), 57-71. 

    8 Zhongfang Liu*Yanlin  Tang, Zhimin Jian, Christopher Poulsen, Jeffrey Welker and Gabriel Bowen*.  (2017). Pacific North American circulation pattern links external forcing and  North American hydroclimatic change over the past millennium.  Proceedings of the National Academy of Sciences of the United States of America, 114(13), 3340-3345. 

    Yanlin Tang, Yinfeng Wang*, Huixia Judy Wang, Qing Pan. (2022). Conditional marginal test for high dimensional quantile regression. Statistica Sinica, 32, 869-892.

    6 Hailin Huang#, Yuanzhang  Li, Hua Liang*, Yanlin Tang#(co-first author). (2020). Estimation of single-index models with fixed  censored responses. Statistica Sinica, 30, 829-843.

    Yanlin Tang, Huixia Judy Wang*, Ying Sun, Amanda Hering. (2019).  Copula-based semiparametric models for spatio-temporal data.  Biometrics, 75,1156-1167.

    4 Yali Fan, Yanlin Tang and Zhongyi Zhu*. (2018). Variable  selection in censored quantile regression with high dimensional data.  Science China-Mathematics, 61(4):641-658.

    Yanlin  Tang, Huixia Judy Wang*, Hua Liang (2018). Composite estimation for single-index  models with responses subject to detection limits. Scandinavian Journal of Statistics, 45(3), 444-464.

    Yanlin Tang, Huixia Judy Wang, Xuming  He, Zhongyi Zhu*. (2012). An informative subset-based estimator for censored  quantile regression. Test, 21, 635-655.

    Yanlin  Tang, Huixia Judy Wang, Zhongyi Zhu*, Xinyuan Song. (2012). A unified variable  selection approach for varying coefficient models.  Statistica Sinica, 22, 601-628.


    Others:

    29 Linsui Deng, Yanlin Tang, Jun Chen, Xianyang Zhang. (2024+). Structure-adaptive canonical correlation analysis for microbiome multi-omics data. Frontiers in Genetics, section Statistical Genetics and Methodology, accepted.

    28 Yuanyuan Tang, Xiaorui Wang, Jianming Zhu, Hongmei Lin*, Yanlin Tang, Tiejun Tong. (2024+). Robust inference for censored quantile regression. Journal of Systems Science and Complexity, accepted.

    27 Yanlin Tang*#, Jinglong Wang#, Menghan Yi(Ph.D. student)#, Zhongyi Zhu# (2024+, alphabetical). Goodness of fit for the Waring distribution. Statistical Theory and Related Fields, accepted.

    26 Xiaorui Wang(Ph.D. student), Guoyou Qin, Yanlin Tang*, Yinfeng Wang*(2023+). Multiply robust estimation of quantile treatment effects with missing responses. Communications in Mathematics and Statistics, online.

    25 储嘉诚 (硕士生), 唐炎林* (2023). 高维线性模型中的纠偏 LASSO 综述. 应用概率统计, 39, 455-474. 

    24 Yinfeng Wang, Huixia Judy Wang, Yanlin Tang*. (2023). Score-based test in high-dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data. Stat, 12, e610.

    23 Yanlin Tang*#, Jinglong Wang#(co-first author), Zhongyi Zhu. (2023). On the MLE of the Waring distribution. Statistical Theory and Related Fields, 7, 144-158.  

    22 Fangzheng Lin, Yanlin Tang#(co-first author), Huichen Zhu, Zhongyi Zhu. (2022). Spatially clustered varying coefficient model. Journal of Multivariate Analysis, 192, 105023.

    21 Yanlin Tang, Xinyuan Song, Grace Yun Yi*. (2022). Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes. Lifetime Data Analysis, 28, 139-168.

    20 Xiaorui Wang(Ph.D. student), Guoyou Qin, Xinyuan Song, Yanlin Tang*. (2022). Censored quantile regression based on multiply robust propensity scores. Statistical Methods in Medical Research, 31, 475-487.

    19 Menghan Yi(Ph.D. student), Zaixing Li*, Yanlin Tang. (2022). F-type testing in functional linear models. Stat, 11, e420.

    18 Lijuan Shen, Yanlin Tang*, Loon Ching Tang*. (2021). Understanding key factors affecting power systems resilience. Reliability Engineering and System Safety, 212, No. 107621.

    17 Hefei Liu#, Xinyuan Song*, Yanlin Tang#(co-first author), Baoxue Zhang. (2021). Bayesian quantile non-homogeneous hidden Markov models. Statistical Methods in Medical Research, 30, 112-128.

    16 Yinfeng Wang, Yanlin Tang*, Xinsheng Zhang. (2020). A two-step test for the two-sample problem of processes of Ornstein-Uhlenbeck type. Journal of Systems Science and Complexity, 33, 2067-2079.

    15 Zhikun Gao, Yanlin Tang,  Huixia Judy Wang*, Guangying Wu, Jeff Lin. (2020). Automatic identification of curve  shapes with application to ultrasonic vocalization. Computational Statistics and Data Analysis, 148, 106956.

    14 Fangzheng Lin, Yanlin Tang, Zhongyi Zhu*.(2020). Weighted quantile regression in varying-coefficient model with longitudinal data.Computational Statistics and Data Analysis, 145, 106915.

    13  Fuyuan Li, Yanlin Tang, Huixia Judy Wang*. (2019). Copula-based semiparametric  analysis for  time series data with detection limits. Canadian Journal of Statistics,  47, 438-454.

    12 Hailin Huang, Yanlin Tang, Yuanzhang Li, Hua Liang*. (2019). Estimation in   additive models with fixed censored responses. Journal of Nonparametric Statistics, 31, 131-143.

    11 Yinfeng Wang, Yanlin Tang and Xinsheng Zhang*. (2016). CGMM LASSO-type estimator  for the process of Ornstein–Uhlenbeck type. Journal of the Korean Statistical Society, 45, 114-122.

    10 Nan Chen, Yanlin Tang,  Zhisheng Ye*. (2016). Robust quantile analysis for accelerated life test data.  IEEE Transactions on Reliability, 65(2), 901-913.
    Yanlin Tang* and Huixia Judy  Wang. (2015). Penalized regression across multiple quantiles under random  censoring. Journal of Multivariate Analysis, 141,  132-146.
    Yanlin Tang, Yinfeng Wang, Jingru Li*, Weimin Qian. (2015). Improve  estimation efficiency in quantile regression with longitudinal data.  Journal of Statistical Planning and Inference, 165,  38-55.
    Yanlin Tang, Xinyuan Song and Zhongyi Zhu*. (2015). Threshold effect  test in censored quantile regression. Statistics & Probability  Letters, 105, 149-156.
    6 Mi Zhou, Huixia Judy Wang*, and Yanlin  Tang. (2015). Sequential change point detection in linear quantile regression  models. Statistics & Probability Letters, 100,  98-103.
    Yanlin Tang, Xinyuan Song and Zhongyi Zhu*. (2015). Variable  selection via composite quantile regression with dependent errors.  Statistica Neerlandica, 69, 1-20.
    4 Yinfeng Wang,  Yanlin Tang, Xinsheng Zhang*. (2015). Estimation of parameters of the  Ornstein-Uhlenbeck type processes with continuum of moment conditions.  Communications in Statistics-Theory and Methods, 44,  5189–5203.

    Yanlin Tang, Liya Xiang, Zhongyi Zhu*. (2014). Risk factor  selection in rate-making: EM-adaptive LASSO for zero-inflated Poisson regression  models. Risk Analysis, 34, 1112-1127.

    Yanlin Tang,  Xinyuan Song, Huixia Judy Wang, Zhongyi Zhu*. (2013). Variable selection in  high-dimensional quantile varying coefficient models.  Journal of Multivariate Analysis, 122, 115-132.
    Yanlin Tang, Huixia Judy  Wang, Zhongyi Zhu*. (2013). Variable selection in quantile varying coefficient  models with longitudinal data. Computational Statistics and Data Analysis, 57, 435-449.


    book/chapter:

    1. Yanlin Tang, Emre Barut, Huixia Judy Wang. (2021). High dimensional inference, book chapter, to appear.

    2. 张日权, 刘玉坤, 唐炎林, 王小舟. (2023). 现代非参数统计方法, 科学出版社.

    Honor

    Excellent doctorial dissertation of Shanghai (2014)

    11th National Research Achievement Award in Statistics, PhD thesis, 2nd prize (2013)