吕晓玲 - 中国人民大学

个人简介

教育经历管理科学博士, 2004.9 – 2007.8, 香港城市大学管理科学系，中国香港概率统计硕士, 1999.9 – 2002.7, 南开大学数学学院，中国天津概率统计学士, 1995.9 – 1999.7, 南开大学数学学院，中国天津工作经历教授：中国人民大学统计学院， 2016年9月至今副教授：中国人民大学统计学院， 2010年9月至2016年9月学术访问：Department of Statistics, University of California at Berkeley，美国，2012年1月至2013年1月讲师：中国人民大学统计学院，2007年9月至2010年9月学术访问：Department of Applied Statistics, Johannes Kepler University of Linz，奥地利，2007年2月至6月科研助理：数据挖掘中心、统计咨询中心，香港城市大学管理科学系，2001-2004

研究领域

数据挖掘与机器学习；深度学习与图神经网络；消费者行为分析与营销管理

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Yimeng Ren, Xuening Zhu, Xiaoling Lu and Guyu Hu, (2022), Graphical Assistant Grouped Network Autoregression Model: a Bayesian Nonparametric Recourse, Journal of Business & Economic Statistics, online 2. Feifei Wang, Rui Zhou, Yicao Feng, Xiaoling Lu* (2022), Bayesian Sparse Joint Dynamic Topic Model with Flexible Lead-Lag Order, Information Sciences, online 3. Yandi Zhu, Xiaoling Lu, Jingya Hong, Feifei Wang* (2022), Joint dynamic topic model for recognition of lead-lag relationship in two text corpora, Data Mining and Knowledge Discovery, online 4. Yuxuan Guo, Ming Gao and Xiaoling Lu* (2022), Multivariate change point detection for heterogeneous series, Neurocomputing, (510), 122-134 5. Yuxuan Guo, Feifei Wang, Chen Xing and Xiaoling Lu*, (2022), Mining multi-brand characteristics from online reviews for competitive analysis: A brand joint model using latent Dirichlet allocation, Electronic Commerce Research and Applications，53,1-11 6. Yiwei Fan, Xiaoling Lu, Julong Zhao, Haoda Fu, Yufeng Liu*, (2022) Estimating individualized treatment rules for treatments with hierarchical structure, Electronic Journal of Statistics, Vol. 16 737–784 7. Xiaoling Lu, Yuxuan Guo, Jiayi Chen and Feifei Wang (2021), Topic change point detection using a mixed Bayesian model, Data Mining and Knowledge Discovery, 1-28 8. Yiwei Fan, Xiaoling Lu, Yufeng Liu, and Julong Zhao (2020), Angle-based hierarchical classification using exact label embedding. Journal of American Statistical Association, 1-14 9. Yang Yang, Yang Liu, Xiaoling Lu, Jin Xu, Feifei Wang (2020), A named entity topic model for news popularity prediction, Knowledge-Based Systems (208), 1-12 10. Yiwei Fan and Xiaoling Lu* (2020)，An online Bayesian approach to change-point detection for Categorical data, Knowledge-Based Systems (196), 1-13 11. Yiwei Fan, Gang Wang, Xiaooing Lu* and Gaobin Wang (2019), Distributed forecasting and ant colony optimization for the bike-sharing rebalancing problem with unserved demands, PloS One, (Dec.), 1-26 12. Xiaoling Lu, Bharatendra Rai, Yan Zhong, Yuzhu Li (2018), Cluster-Based Smartphone Predictive Analytics for Application Usage and Next Location Prediction, International Journal of Business Intelligence Research, 9(2), 64-80 13. Xiangyu Chang, Jingzhou Shen , Xiaoling Lu , Shuai Huang (2018)，Statistical Patterns of Human Mobility in Emerging Bicycle Sharing Systems，PLoS ONE, 13(3), 1-16 14. Xiaoing Lu, Xiaoning Wang and Zhimeng Sun （2018）, FIC Based Model Averaging for the Censored Quantile Varying Coefficient Regression Model, Journal of System Science & Mathematical Science, 38(6),1-18 15. Lu, Xiaoling, Fengchi Dong, Xiexin Liu and Xiangyu Chang (2018), Varying Coefficient Support Vector Machines, Statistics and Probability Letters, 132, 107-115 16. Sun, Zhimeng, Liuquan Sun, Xiaoling Lu, Ji Zhu, Yongzhuang Li（2017）, Frequentist model averaging estimation for the censored partial linear quantile regression model，Journal of Statistical Planning and Inference，189，1-15 17. Xiao Xiao, Xiexin Liu, Xiaoling Lu*, Xiangyu Chang and Yufeng Liu (2017), A New Algorithm for Computation of a Regularization Solution Path for Reinforced Multicategory Support Vector Machines, The Canadian Journal of Statistics, 45 (2), 149–163 18. Zhang,Chong, Xiaoling Lu et al. (2017), REC: Fast Sparse Regression-based Multicategory Classification, Statistics and Its Interface, 10， 175-185