Name：Liugen Xue
Title：Professor
Office：307
Email：lgxue@bjut.edu.cn
Research Field：Nonparametric statistics and data analysis; Semi-parameter modeling of complex data; High dimensional data analysis.
Education：
1978.03—1982.01，Bachelor of Science，Xinxiang Normal College (Henan Normal University), Mathematics major.
1986.08—1987.07, Teaching assistant Class, East China Normal University, statistics major.
Position：
2021.03—, Henan University，Distinguished Professor
2018.01—2020.12，Henan University，Part-time Professor
1998.08—, Beijing University of Technology，Professor，Doctoral tutor（2001.05—）
1995.11—1998.07，Xuchang Teachers College，Professor
1991.11—1995.10，Xuchang Teachers College，Associate professor
1986.11—1991.10，Xuchang Teachers College，Lecturer
1982.01—1986.10，Xuchang Teachers College，Assistant professor
Talents training：
Liugen Xue has trained 20 doctoral students and 45 masters' graduate students, one of them was nominated for National Excellent Doctor Dissertation and Beijing Excellent Doctor Dissertation, one person won the second prize of doctoral thesis in the National Statistical Science Research Award, and five people won the university's outstanding doctoral and master's thesis awards. He has directed 18 undergraduates, 12 of whom have received an outstanding bachelor's thesis.
Selected publications：
[1] Jane-Ling Wang, Liugen Xue#, Lixing Zhu, Yun-Sam Chong. Estimation for a partial-linear single-index model. The Annals of Statistics, 2010, 38(1): 246–274. (Highly cited papers, cited 134 times)
[2] Liugen Xue, Lixing Zhu. Empirical likelihood for a varying coefficient model with longitudinal data. Journal of the American Statistical Association, 2007, 102(478): 642–654. (Highly cited papers, cited 175 times)
[3] Winfried Stute, Liugen Xue, Lixing Zhu. Empirical likelihood inference in nonlinear error-in-covariables models with validation data. Journal of the American Statistical Association, 2007, 102(477): 332–346. (Cited 50 times)
[4] Liugen Xue, Lixing Zhu. Empirical likelihood semiparametric regression analysis for longitudinal data. Biometrika, 2007, 94(4): 921–937. (Cited 102 times)
[5] Lixing Zhu, Liugen Xue. Empirical likelihood confidence regions in a partially linear single-index model. Journal of the Royal Statistical Society, Series B-Statistical Methodology, 2006, 68(3): 549–570. (Highly cited papers, cited 192 times)
[6] Liugen Xue, Jinghua Zhang. Empirical likelihood for partially linear single-index models with missing observations. Computational Statistics and Data Analysis, 2020, 144, 06877, DOI: 10.1016/j.csda.2019.106877.
[7] Liugen Xue, Heng Lian. Empirical likelihood for single-index models with responses missing at random. Science China, Mathematics, 2016, 59(6): 1187–1207.
[8] Sanying Fen, Heng Lian, Liugen Xue*. A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data. Computational Statistics and Data Analysis, 2016, 102: 98–109.
[9] Ruiqin Tian, Liugen Xue*, Chunling Liu. Penalized quadratic inference functions for semiparametric varying coefficient partially linear models with longitudinal data. Journal of Multivariate Analysis, 2014, 132: 94–130.
[10] Liugen Xue, Zhen Pang. Statistical inference for a single-index varying-coefficient model. Statistics and Computing, 2013, 23: 589–599.
[11] Liugen Xue. Estimation and empirical likelihood for single-index models with missing data in the covariates. Computational Statistics and Data Analysis, 2013, 60: 82–97.
[12] Liugen Xue, Qihua Wang. Empirical likelihood for single-index varying-coefficient models. Bernoulli, 2012, 18(3): 836–856.
[13] Zhen Pang, Liugen Xue#. Estimation for single-index models with random effects. Computational Statistics and Data Analysis, 2012, 56(6): 1837–1853.
[14] Liugen Xue, Dong Xue. Empirical likelihood for semiparametric regression model with missing response data. Journal of Multivariate Analysis，2011,
102(4): 723–740.
[15] Liugen Xue. Empirical likelihood local polynomial regression analysis of clustered data. Scandinavian Journal of Statistics, 2010, 37(4): 644–663.
[16] Liugen Xue. Empirical likelihood confidence intervals for response mean with data missing at random. Scandinavian Journal of Statistics, 2009, 36(4): 671–685.
[17] Liugen Xue. Empirical likelihood for linear models with missing responses. Journal of Multivariate Analysis，2009, 100(7): 1353–1366.
[18] Liugen Xue, Lixing Zhu. Empirical likelihood-based inference in a partially linear model for longitudinal data. Science in China, Series A (English Version), 2008, 51(1): 115–130
（Get“Outstanding paper nomination award of SCIENCE CHINA Mathematics”）
[19] Liugen Xue, Lixing Zhu. Empirical likelihood for single-index models. Journal of Multivariate Analysis，2006, 97(6): 1295–1312. (JMVA Highly cited papers, cited 86 times)
[20] Liugen Xue, Lixing Zhu. Empirical likelihood confidence regions of the parameters in a partially linear single-index model. Science in China, Ser. A, 2005, 48(10): 1333–1348.
Publishing main works：
1. Liugen Xue. Modern Nonparametric Statistics. Beijing: Science Press, 2015.
2. Liugen Xue. Higher Statistics. Beijing: Science Press, 2015.
3. Liugen Xue. Applied Nonparametric Statistics. Beijing: Science Press, 2013.
4. Liugen Xue. Modern Statistical Models. Beijing: Science Press, 2012.
5. Liugen Xue. Probability Statistics Problems and Thinking. Beijing: Science Press, 2011.
6. Liugen Xue,Lixing Zhu. Empirical Likelihood in Nonparametric and Semiparametric Models.Beijing: Science Press, 2010.
Research Funding：
1. Study of semiparametric mixed effects models under incomplete data (11971001). National Natural Science Foundation of China (general project), 2020.01－2023.12, PI.
2. Semiparametric regression modeling and statistics analysis for high-dimensional data (11571025). Natural Science Foundation of China (general project) , 2016.01－2019.12, PI.
3. Methods, theory and application of statistical analysis of biomedical data (11331011). Natural Science Foundation of China (key project), 2014.01－2018.12, CO-PI.
4. Statistical analysis and modeling for complex data (11171012). Natural Science Foundation of China (general project), 2012.01－2015.12, PI.
5. Statistical inference for a class of semi-parametric stochastic effect models (10871013). Natural Science Foundation of China (general project), 2009.01－2011.12, PI.
6. Study for a new class of semi-parametric regression models with noisy variables (10571008). Natural Science Foundation of China (general project), 2006.01－2008.12, PI.
7. Statistical inference and application of the additive model (20121103110004). Specialized Research Fund for the Doctoral Program of Higher Education of China, 2013.01－2015.12, PI.
8. A study of a class of semi-parametric regression models under incomplete data. (20070005003). Specialized Research Fund for the Doctoral Program of Higher Education of China, 2008.01－2010.12, PI.
9. Statistical methods for the analysis of survival data in epidemiology. The Key Teacher Fund of Institutions of Higher Education of the Ministry of Education, 2000.09－2002.08, PI.
10. Statistical inference and application of the density ratio model under complex data (1182002). Beijing Natural Science Foundation, 2018.01－2020.12, PI.
11. Methods and application of low-dimensional nonlinear approximation for high-dimensional data (L140003). A jointly funded project by Beijing Natural Science Foundation and Beijing Institute of Science and Technology, 2014.01－2016.06, PI.
12. Statistical theory and method of population model and infectious disease model (1142003). Beijing Natural Science Foundation, 2014.01－2016.12, PI.
13. Statistical inferences of the life science model (1102008). Beijing Natural Science Foundation, 2010.01－2012.12, PI.
14. Study of semiparametric EV models in econometrics (1072004). Beijing Natural Science Foundation, 2007.01－2009.12, PI.
15. Theory and method of actuarial survival models (1042002). Beijing Natural Science Foundation, 2004.01－2006.12, PI.
16. Nonparametric statistical method and its application in survival analysis (1992005). Beijing Natural Science Foundation, 1999.09－2002.08, PI.
17. Research on the analysis technology of measurement system in six sigma management. Beijing Municipal Education Commission Foundation-Talent Strong Education Deepening Plan-Serve the Beijing Innovative Talent Training Project, 2010.01－2012.12, PI.
18. Research on statistical methods for complex data analysis (KM201110005029). Science and Technology Plan of Beijing Municipal Commission of Education (general project), 2011.01－2013.12, PI.
19. Study on a semi-parametric econometric model (KM200510005009). Science and Technology Development Grant Project of Beijing Municipal Commission of Education, 2005.01－2007.12, PI.
20. Statistical method and theory of the variable coefficient model (20111000503). Science and Technology Project for the Supervisor of Excellent Doctoral Dissertation of Beijing and the Construction of the National Excellent Doctoral Thesis Guides the Teacher Training Base, 2012.01－2015.12, PI.
Teaching：
Probability theory and mathematical statistics; Higher Statistics; Nonparametric statistics.
Part-time jobs in the society：
2010.10—, Standing Director (2010.10—2018.10) and Director (2018.10—) of China Applied Statistics Research Association;
2010.10—2018.10, Standing Director of the Probabilistic Statistics Branch of the Chinese Mathematical Society;
2004.04—2012.10, Secretary-General of the Survival Analysis Branch of China Field Statistics Research Association;
2012.10—, Vice Chairman of the Survival Analysis Branch of China Field Statistics Research Association;
2015.04—, Standing Director of High-dimensional Data Statistics Branch of China Applied Statistics Research Association.
Talks：
1. 2019.04, China Statistics Frontier Forum, speech topic is “Generalized empirical likelihood inference in partial linear regression model for longitudinal data”.
2. 2018.06, DIN Standards for Quality Management, Statistics and Certifications, speech topic is “A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data”.
3. 2017.05, The Eleventh National Academic Conference on Mathematical Planning, speech topic is “A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data”.
4. 2016.06, ICSA China Statistics Conference, speech topic is “Empirical likelihood for single-index models with responses missing at random”.
5. 2014.03, The Eighth National Symposium on Survival Analysis and Applied Statistics, speech topic is “Statistical inference for single-index models with missing response at random”.
6. 2013.12, The Ninth International Chinese Statistical Association (ICSA) International Conference, speech topic is “Estimation and empirical likelihood for single-index models with missing data in the covariates”.
7. 2012.07, The 2"d Institute of Mathematical Statistics Asia Pacific Rim Meeting, speech topic is “Estimation for single-index mixed effects models”.
8. 2011.07, The Third IMS-China International Conference on Statistics and Probability, speech topic is “Estimation for the single-index models with random effects”.
9. 2010.07, Cross-Strait Statistics and Probabilistic Seminar, “Empirical likelihood local polynomial regression analysis of clustered data”.
10. 2010.12, IMS-China International Conference on Statistics and Probability, speech topic is “Estimation for a partial-linear single-index model”.
Honor and awards:
2015, Excellent Achievement Award of Scientific Research of the Ministry of Education (Science and Technology), second prize in Natural Science (1/2).
2013, The 11th National Statistical Science Research Outstanding Achievement Award of the National Bureau of Statistics, first prize (1/2).
2012, Nomination Award for National Excellent Doctoral Dissertation, tutor (1/1).
2011, Beijing Excellent Doctor Dissertation, tutor (1/1).
