博士，讲师 |
樊军，男，汉族，1981年1月，博士，讲师。
【研究领域】 高维统计、机器学习、非线性规划理论与算法
【主讲课程】
最优化算法基础，应用时间序列分析， 统计学习
【研究生招生学科方向】 硕士：数学，应用统计
【科研项目】
[1]国家自然科学基金面上项目(No.12571345),二次反问题的非凸统计优化方法研究，2026.01-2029.12
[2] 河北省自然科学基金面上项目(No.A2023202038),基于二次测量模型的电力系统状态估计方法研究，2023.01-2025.12
[3]河北省自然科学基金面上项目(No.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
【代表性论文】
[1] Jun Fan, Jie Sun, Ailing Yan, Shenglong Zhou. An oracle gradient regularized Newton method for quadratic measurements regression. Applied and Computational Harmonic Analysis,78, 101775, 2025.
[2] Rui Zhang, Jun Fan, Yi Lian and Ailing Yan, An Efficient Algorithm for the Weighted Elastic net Penalized Quantile Regression, Communications in Statistic-Simulation and Computation, https://doi.org/10.1080/03610918.2025.2455413
[3] Zihan Hao, Ziyan Luo , Xiaoyu Li and Jun Fan,Tensor-Based Channel Estimation for Millimeter-Wave Massive MIMO by Exploiting Sparsity in Delay- Angular Domain. IEEE Transactions on Wireless Communications，23(12):19259 - 19274,2024.
[4] Fanhua Shang, Hua Huang, Jun Fan, Yuanyuan Liu, Hongying Liu and Jianhui Liu, Asynchronous Parallel, Sparse Approximated SVRG for High- Dimensional Machine Learning, IEEE Transactions on Knowledge and Data Engineering, 2022,34(12):5636-5648.
[5] Xianchao Xiu, Jun Fan, Ying Yang and Wanquan Liu, Fault Detection Using Structured Joint Sparse Nonnegative Matrix Factorization, IEEE Transactions on Instrumentation and Measurement, 2021,70, 1-11.
[6] 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.
[7]Jun Fan, Lingchen Kong, Liqun Wang and Naihua Xiu, Variable Selection in Sparse Regression with Quadratic Measurements, Statistica Sinica, 2018, 28(3)，1157-1178.
[8]Yuwen Gu, Jun Fan, Lingchen Kong,Shiqian Ma and Hui Zou, ADMM for High-Dimensional Sparse Penalized Quantile Regression, Technometrics, 2018, 60(3),319-331.
[9]Lili Pan Naihua Xiu and Jun Fan, Optimality conditions for sparse nonlinear programming, Science China Mathematics, 2017, 60(5): 759–776.
[10] Jun Fan, Ailing Yan, and Naihua Xiu, Asymptotic properties for M-estimators in linear models with dependent random errors, Journal of Statistical Planning and Inference, 2014, 148:49-66.
[11] Jun Fan, Moderate deviations for M-estimators in linear models with ϕ�������-mixing errors, Acta Mathematica Sinica, English Series, 2012, 28(6): 1275-1294.
[12] Jun Fan and Fuqing Gao, Deviation inequalities and moderate deviations for estimators of parameters in TAR models, Frontiers of Mathematics in China, 2011,6(6): 1067-1083.
【联系方式】
邮箱：junfan@hebut.edu.cn |
