Biography

I am a Professor at Zhongnan University of Economics and Law. I received my Ph.D. degree in statistics from Wuhan University in 2010 under the supervision of Professor Yanyan Liu. My research interests lie in developing statistical learning methodologies and their applications, particularly focusing on high-dimensional data analysis, event history analysis, quantile regression and survival analysis.

I am looking for self-motivated postDoc/Ph.D./master candidates with strong background of statistics, machine learning or applied mathematics. I also provide statistical consulting on the interdiscipline and industry. If interested, welcome to drop me an email.

Professional Experience

• Professor
  08/2018 – now
  
  School of Statistics and Mathematics, Zhongnan University of Economics and Law
  
• Doctoral Supervisor
  08/2018 – now
  
  School of Statistics and Mathematics, Zhongnan University of Economics and Law
  
• Doctoral Supervisor
  05/2016 – 07/2018
  
  School of Mathematics and Statistics, Wuhan University
  
• Associate Professor
  12/2015 – 07/2018
  
  School of Mathematics and Statistics, Wuhan University
  
• Member with Class D
  07/2015 – 07/2018
  
  Collaborative Innovation Center of Mathematics, Wuhan University
  
• Research Associate
  02/2014 – 03/2015
  
  Department of Statistics and Actuarial Science, University of Hong Kong
  
• Research Assistant
  01/2013 – 02/2013
  
  Department of Statistics and Actuarial Science, University of Hong Kong
  
• Research Assistant
  02/2011 – 08/2012
  
  Department of Statistics and Actuarial Science, University of Hong Kong
  
• Assistant Professor
  07/2010 – 11/2015
  
  School of Mathematics and Statistics, Wuhan University
  
• Visiting Scholar
  09/2008 – 03/2010
  
  Department of Biostatistics, University of North Carolina at Chapel Hill
  

Publications

(† student; * corresponding authorship)

Preprints Awaiting Publication :-)

• Detection of Temporal Changes in Self-Exciting Point Process on an Infinite Time Horizon
  Jiayu Huang^†, Guosheng Yin, Yuanshan Wu*
  Preprint.
  
• Identifying Spatio-Temporal Demand Patterns of an Online Ridesourcing System via Wasserstein Analysis
  Dechao Lei^†, Yuanshan Wu*
  Preprint.
  
• Expectile Regression With Covariate Measurement Errors
  Xiaobo Wang^†, Jiayu Huang^†, Yuanshan Wu*
  Preprint.
  
• Transfer Learning With High-Dimensional Quantile Regression
  Jiayu Huang^†, Mingqiu Wang, Yuanshan Wu*
  arXiv:2211.14578v1.
  

Statistical Methodologies

• High-Dimensional Robust Inference for Censored Linear Models
  Jiayu Huang^†, Yuanshan Wu*
  Science China Mathematics, in preprint.
  
• Double Bias Correction for High-Dimensional Sparse Additive Hazards Regression With Covariate Measurement Errors
  Xiaobo Wang^†, Jiayu Huang^†, Guosheng Yin, Jian Huang, Yuanshan Wu*
  Lifetime Data Analysis, in preprint.
  
• Model Aggregation for Doubly Divided Data With Large Size and Large Dimension
  Baihua He^†, Yanyan Liu, Guosheng Yin, Yuanshan Wu*
  Computational Statistics, in preprint.
  
• The Hazard Level Set
  Guangcai Mao^†, Yanyan Liu, Yuanshan Wu*, Qinglong Yang
  Journal of Nonparametric Statistics 34, 22-57, 2022.
  
• Cox Regression Analysis for Distorted Covariates With an Unknown Distortion Function
  Yanyan Liu, Yuanshan Wu, Jing Zhang, Haibo Zhou
  Biometrical Journal 63, 968–983, 2021.
  
• Distributed Quantile Regression for Massive Heterogeneous Data
  Aijun Hu, Yuling Jiao, Yanyan Liu, Yueyong Shi, Yuanshan Wu
  Neurocomputing 448, 249–262, 2021.
  
• Functional Martingale Residual Process for High-Dimensional Cox Regression With Model Averaging
  Baihua He^†, Yanyan Liu, Yuanshan Wu*, Guosheng Yin, Xingqiu Zhao
  Journal of Machine Learning Research 21 (207), 1−37, 2020.
  
• Restricted Mean Survival Time for Interval-Censored Data
  Chenyang Zhang, Yuanshan Wu, Guosheng Yin
  Statistics in Medicine 39, 3879–3895, 2020.
  
• Semiparametric Efficient Estimation for Additive Hazards Regression With Case II Interval-Censored Survival Data
  Baihua He, Yanyan Liu, Yuanshan Wu, Xingqiu Zhao
  Lifetime Data Analysis 26, 708–730, 2020.
  
• Adaptive Penalized Weighted Least Absolute Deviations Estimation for the Accelerated Failure Time Model
  Mingqiu Wang, Yuanshan Wu, Qinglong Yang
  Acta Mathematica Sinica, English Series 36, 812–828, 2020.
  
• A New Robust Risk Measure: Quantile Shortfall
  Youli Chen, Yanyan Liu, Guangcai Mao, Yuanshan Wu, Fei Yan
  Acta Mathematica Sinica, English Series 36, 1014–1024, 2020.
  
• An ADMM With Continuation Algorithm for Nonconvex SICA-penalized Regression in High Dimensions
  Yueyong Shi, Yuanshan Wu, Deyi Xu, Yuling Jiao
  Journal of Statistical Computation and Simulation 88, 1826–1846, 2018.
  
• Censored Cumulative Residual Independent Screening for Ultrahigh-Dimensional Survival Data
  Jing Zhang^†, Guosheng Yin, Yanyan Liu, Yuanshan Wu*
  Lifetime Data Analysis 24, 273–292, 2018.
  
• Multiple Imputation for Cure Rate Quantile Regression With Censored Data
  Yuanshan Wu*, Guosheng Yin
  Biometrics 73, 94–103, 2017.
  
• Sieve Maximum Likelihood Estimation for a Class of Accelerated Hazards Models
  Xingqiu Zhao, Yuanshan Wu, Guosheng Yin
  Bernoulli 23, 3385–3411, 2017.
  
• Cure Rate Quantile Regression Accommodating Both Finite and Infinite Survival Times
  Yuanshan Wu*, Guosheng Yin
  Canadian Journal of Statistics 45, 29–43, 2017.
  
• Correlation Rank Screening for Ultrahigh-Dimensional Survival Data
  Jing Zhang^†, Yanyan Liu, Yuanshan Wu*
  Computational Statistics and Data Analysis 108, 121–132, 2017.
  
• Exponential Regression for Censored Data With Outliers
  Jing Zhang^†, Yanyan Liu, Yuanshan Wu*
  Journal of Statistical Computation and Simulation 86, 431–442, 2016.
  
• Conditional Quantile Screening in Ultrahigh-Dimensional Heterogeneous Data
  Yuanshan Wu, Guosheng Yin
  Biometrika 102, 65–76, 2015.
  
• Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors
  Yuanshan Wu, Yanyuan Ma, Guosheng Yin
  Journal of the American Statistical Association 110, 1670–1683, 2015.
  
• Additive Hazards Regression With Random Effects for Clustered Failure Times
  Deng Pan, Yanyan Liu, Yuanshan Wu*
  Acta Mathematica Sinica, English Series 31, 511–525, 2015.
  
• Auxiliary Covariate in Additive Hazards Regression for Survival Data
  Xiaoping Shi^†, Yanyan Liu, Yuanshan Wu*
  Journal of Nonparametric Statistics 26, 101–113, 2014.
  
• Continuous Auxiliary Covariate in Additive Hazards Regression for Survival Data
  Xiaoping Shi^†, Yanyan Liu, Yuanshan Wu*
  Journal of Systems Science and Complexity 27, 1247–1262, 2014.
  
• Cure Rate Quantile Regression for Censored Data With a Survival Fraction
  Yuanshan Wu, Guosheng Yin
  Journal of the American Statistical Association 108, 1517–1531, 2013.
  
• Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design With a Continuous Outcome
  Haibo Zhou, Rui Song, Yuanshan Wu, Jing Qin
  Biometrics 67, 194–202, 2011.
  
• Semiparametric Inference for a Two-Stage Outcome-Auxiliary-Dependent Sampling Design With a Continuous Outcome
  Haibo Zhou, Yuanshan Wu, Yanyan Liu, Jianwen Cai
  Biostatistics 12, 521–534, 2011.
  
• Semiparametric Additive Intensity Model With Frailty for Recurrent Events
  Yanyan Liu, Yuanshan Wu*
  Acta Mathematica Sinica, English Series 27, 1831–1842, 2011.
  
• Multivariate Failure Times Regression With a Continuous Auxiliary Covariate
  Yanyan Liu, Yuanshan Wu, Haibo Zhou
  Journal of Multivariate Analysis 101, 679–691, 2010.
  
• Additive-Multiplicative Rates Model for Recurrent Events
  Yanyan Liu, Yuanshan Wu, Jianwen Cai, Haibo Zhou
  Lifetime Data Analysis 16, 353–373, 2010.
  

Interdisciplinary Research

• 基于变系数Hawkes过程的新型冠状病毒肺炎的传染性分析
  吴远山*， 黄佳雨， 叶桉均
  应用数学学报 45, 421-431, 2022.
  
• Order-Dispatching Strategy Induced by Optimal Transport Plan for An Online Ride-Hailing System
  Dechao Lei^†, Yuanshan Wu*
  Transportation Research Record 2676, 156-169, 2022.
  
• TCB: A Feature Transformation Method Based Central Behavior for User Interest Prediction on Mobile Big Data
  Chen Zhou, Hao Jiang, Yanqiu Chen, Jing Wu, Jianguo Zhou, Yuanshan Wu
  International Journal of Distributed Sensor Networks 12, no. 10, 2016.
  

Book

• 概率论与数理统计同步辅导与习题精解
  刘妍岩, 吴远山
  中国科学技术大学出版社, 2006.
  

Group

Our group currently has 5 Ph.D. and 13 master students, working together in a strong academic atmosphere. Our goal is to cultivate academic talents with international perspectives. Welcome to join us!