博士，副教授 |
阎爱玲，女，汉族，1978年8月，博士，副教授。 【研究领域】 高维统计、机器学习、稳健估计、非线性规划理论以及算法等 【主讲课程】 高等数学 最优化算法 【研究生招生学科方向】 硕士：统计学 【科研项目】 [1]主持国家自然科学基金青年基金(项目编号：11801130),稀疏相位检索的鲁棒优化理论与算法研究，2019.01-2021.12 [2]参与国家自然科学基金面上项目(项目编号：12471168),二次反问题的非凸统计优化方法研究，2026.01-2029.12 [3]参与国家自然科学基金面上项目(项目编号：12571345), 约束优化的内点增广拉格朗日方法的高阶收敛性， 2025.01–2028.12 [4]参与国家自然科学基金面上基金(项目编号：11671116),快速探测模型不可行性的非线性规划算法的理论与应用研究， 2016.01-2019.12 [5]参与河北省面上项目(项目编号：A2019202135),基于二次压缩感知的稀疏优化理论与算法研究， 2019.01-2021.12 [6]参与河北省面上项目项目编号：A20(15202365),能够快速探测模型不可行性的非线性规划内点算法及其收敛性理， 2015.01-2017.12 【代表性论文】 [1] Jun Fan, Ailing Yan, Xianchao Xiu, Wanquan Liu. Robust Sparse Phase Retrieval: Statistical Guarantee, Optimality Theory and Convergent Algorithm. (《Inverse Problems》已接收. [2] Jun Fan, Jie Sun , Ailing Yan,Shenglong Zhou. An oracle gradient regularized Newton method for quadratic measurements regression.Aplied and Computational Harmonic Analysis,78, 101775, 2025. [3] Rui Zhang, Jun Fan, Yi Lian and Ailing Yan, An Efficient Algorithm for theWeighted Elastic net Penalized Quantile Regression,Communications in Statistic-Simulation and Computation,2025. [4] 张蕊，阎爱玲, 基于稀疏Group Lasso惩罚的分位数回归, 数值计算与计算机应用. 2024, 45(2): 174-188. (通讯作者) [5] Kong Lijiao, Yan Ailing(阎爱玲). Robust amplitude method with 
-regularization for compressive phase retrieval, Journal of Industrial and Management Optimization, 2023,19(10):7686-7702. (通讯作者) [6] 温小明，阎爱玲，稀疏相位恢复的加权L_1正则Huber回归方法，数学建模及其应用，2023，12(1): 8-15. [7] Lijiao Jong, Ailing Yan, Yan Li and Jun Fan, The lq-ball projected gradient method for quadratic compressive sensing, Pacific Journal of Optimization, 2022,18(1): 213-232. [8] Min Zhang, Liangshao Hou, Jie Sun and Ailling Yan, A Model of Multistage Risk-Averse Stochastic Optimization and its Solution by Scenario- Based Decomposition Algorithms,Asia-Pacific Journal of Operational Research, 2020, 37(04), 2040004. [9]Jun Fan, Liqun Wang and Ailing Yan, An Inexact Projected Gradient Method for Sparsity-Constrained Quadratic Measurements Regression,Asia-Pacific Journal of Operational Research,2019,36(02), 1940008. [10] Ailing Yan and Fengli Song,Adaptive Elastic Net-penalized Quantile Regression for Variable Selection,Communications in Statistics -Theory and Methods,2019,48(20),5106-5120. [11]Ailing Yan and Jun Fan, The lq-ball projected gradient method for quadratic compressive sensing, Pacific Journal of Optimization, 2018, 14(1): 63-76. [12] Jun Fan, Ailing Yan, Naihua Xiu,Asymptotic Properties for M-estimators in Linear Models with Dependent Random Errors, Journal of Statistical Planning and Inference, 2014,148(148):49-66. (统 计学主流SCI期刊) [13]Ailing Yan, Gaoyang Wang and Naihua Xiu, Robust Solutions of Split Feasibility Problem with Uncertain Linear Operator, Journal of Industrial and Management Optimization, 2007, 3(4): 749-761. [14]刘东梅,刘新为,阎爱玲,可探测问题不可行性的无滤子逐步二次规划方法,高等学校计算数学学报,2017,3(39):212-231. [15]阎爱玲,修乃华,不确定信息多目标线性优化的鲁棒方法, 数学的实践与认识, 2012,42(6):245-254. 【联系方式】 邮箱：ailing-yan78@163.com |
