中央财经大学教授，博士生导师

研究方向：海量数据的统计建模，在线学习，高维变量选择问题，对称性检验，测量误差模型

邮箱：yujie_gai@126.com

教育经历

2002.9-2006.6 山东大学 统计学专业 学士学位

2006.9-2011.6 山东大学 概率论与数理统计专业 博士学位

2010.3-2010.5 香港浸会大学 访问学习

2017.12-2018.12 美国德克萨斯州大学 访问学者

近期学术成果

K. Meng, and Yujie Gai*. (2026). Renewable penalized linear regression via inverse probability weighting for streaming data with missing covariates. Computational Statistics & Data Analysis, 108338.

S. Xiao, and Yujie Gai*. (2026). Online transfer learning for generalized linear model prediction. Knowledge-Based Systems, 114648.

Yujie Gai, K. Meng, Y. Xie, and X. Wang*. (2026). A renewable estimation method for partially linear regression models. Chinese Journal of Applied Probability and Statistics, 42(1):131–156. (in Chinese)

K. Meng, T. He, Yujie Gai* and L. Lin. (2025). Online learning for non-convex penalized support vector machine with convolution smoothing. Neurocomputing, 131646.

Y. Wang, L. Zhang and Yujie Gai*. (2025) Real-time inference for smoothing quantile regression on streaming datasets with heterogeneity detection." Statistics and Computing，35.2: 37.

Yujie Gai, Y. Wang, T. He*, and X. Wang. (2025) Online updating composite quantile regression for streaming data. Statistical Analysis and Data Mining: An ASA Data Science Journal, 18(5), e70047.

Yujie Gai, K. Meng, and X. Xu*. (2025). Online variable selection and parameter estimation for massive data via square root lasso. Statistical Analysis and Data Mining: The ASA Data Science Journal, 18(2), e70016.

K. Meng, Yujie Gai*, ...(2024) Transfer learning for high-dimensional linear regression via the elastic net. Knowledge-Based Systems, 304, 112525.

Yujie Gai, J. Zhang*, and Y. Zhou. (2024) Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data. Communications in Statistics–Simulation and Computation, 53(3), 1594–1617.

X. Sun,…, and Yujie Gai*. (2024) Distributed non-convex regularization for generalized linear regression. Expert Systems with Applications, 252, 124177.

Yujie Gai, J. Zhang, and Y. Yang*. (2024) Nonparametric regression models with additive distortions. Communications in Statistics–Theory and Methods, 53(24), 8592–8613.

Yujie Gai, Y. Xie, and X. Wang*. (2024) Parameter estimation of linear mixed effects model based on online update. Chinese Journal of Applied Probability and Statistics, 40(3), 420–432.

Yujie Gai, K. Meng, and X. Wang*. (2024) Online learning for streaming data classification in nonstationary environments. Statistical Analysis and Data Mining: The ASA Data Science Journal, 17(2), e11669.

L. Yuan, X. Yin, and Yujie Gai.* (2024) A communication efficient distributed one-step estimation. Physica A: Statistical Mechanics and its Applications, 633, 129202.

X. Chen, Yujie Gai and X. Wang*. (2023) A-optimal designs for non-parametric symmetrical global sensitivity analysis. Metrika, 86(2), 219–237.

X. Ma, L. Lin*, and Yujie Gai. (2023) A general framework of online updating variable selection for generalized linear models with streaming datasets. Journal of Statistical Computation and Simulation, 93(3), 325–340.

Yujie Gai and J. Zhang*. (2022) Detection of the symmetry of model errors for partial linear single-index models. Communications in Statistics–Simulation and Computation, 51(6), 3410–3427.

J. Zhang, S. Feng, and Yujie Gai*. (2022) Partial index additive models with additive distortion measurement errors. Communications in Statistics–Simulation and Computation, 51(5), 2191–2216.

Yujie Gai, Y. Wei, J. Zhang*, and A. Chen. (2022) Measuring the symmetry of model errors for varying coefficient regression models based on correlation coefficient. Communications in Statistics–Simulation and Computation, 51(5), 2235–2251.

Yujie Gai and J. Zhang*. (2022) Detection of the symmetry of model errors for partial linear models. Communications in Statistics–Simulation and Computation, 51(5), 2217–2234.

Yujie Gai and J. Zhang*. (2022) Single-index relative error regression models. Communications in Statistics–Simulation and Computation, 51(5), 2252–2267.

Yujie Gai, X. Zhu, and J. Zhang*. (2022) Testing symmetry of model errors for nonparametric regression models by using correlation coefficient. Communications in Statistics–Simulation and Computation, 51(4), 1436–1453.

J. Zhang and Yujie Gai*. (2022) Nonlinear regression models with profile nonlinear least squares estimation. Communications in Statistics–Simulation and Computation, 51(5), 2140–2157.

J. Zhang and Yujie Gai*. (2022) Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion. Communications in Statistics–Simulation and Computation, 51(5), 2158–2190.

J. Zhang, Yujie Gai, and B. Lin.* (2021) Detection of marginal heteroscedasticity for partial linear single-index models. Communications in Statistics–Simulation and Computation, 50(3), 724–743.

J. Zhang, X. Cui, G. Li, and Yujie Gai*. (2020) Measuring symmetry and asymmetry of multiplicative distortion measurement errors data. Brazilian Journal of Probability and Statistics, 34(2), 370–393.

J. Zhang, W. Xu, and Yujie Gai*. (2020) Multiplicative distortion measurement errors linear models with general moment identifiability condition. Journal of Statistical Computation and Simulation, 90(2), 291–305.

J. Zhang, Yujie Gai, B. Lin*, and X. Zhu. (2019) Nonlinear regression models with single-index heteroscedasticity. Statistica Neerlandica, 73, 292–316.

Z. Feng, Yujie Gai, and J. Zhang*. (2019) Correlation curve estimation for multiplicative distortion measurement errors data. Journal of Nonparametric Statistics, 31(2), 435–450.

Z. Zhang*, Yujie Gai, et al. (2018) On equivalence of likelihood maximization of stochastic block model and constrained nonnegative matrix factorization. Physica A: Statistical Mechanics and Its Applications, 503(1), 687–697.

盖玉洁，李锋，尹钊，林路，朱力行.(2017)自适应的Dantzig选择器的渐近性质研究,中国科学：数学，2017，47(7), 869-88

主持及参与省部级以上课题

1.国家自然科学基金面上项目（项目编号:12071497）：实时更新超大数据集的变量选择问题研究, 2021/01-2025/12, 58.5万元,进行,主持.

2.全国统计科学研究项目（项目编号:2020LY014）：流数据的有效变量筛选方法及应用, 2020/09-2022/9,已结题,主持.

3.国家自然科学基金青年基金项目（项目编号:11201499）： 近似稀疏非参与半参模型的Dantzig Selector研究, 2013/01-2015/12, 22万元,已结题,主持.

4.国家自然科学基金面上项目（项目编号: 12371276）：基于降维子空间方法的高维复杂数据异质结构识别及其应用, 2024/01—2027/12，43.5万元，第一参与.

5.国家自然科学基金青年基金项目(项目编号: 71403305) ：保险市场系统性风险识别 度量和评估研究: 理论模型与实证检验, 2015/01-2017/12, 22万元,已结题,参与.

6.国家自然科学基金青年基金项目（项目编号:11301309），两类缺失机制下若干统计推断问题的研究，2014/01-2016/12，22万元，已结题，参与

讲授课程

本科课程：时间序列分析、非参数统计、数理统计、概率论、随机过程

研究生课程：大数据分析统计基础、高等数理统计

其他获奖：2020年，获得基础课教学奖一项