一、基本情况

徐锋，男，博士，副教授，硕士生导师。研究工作主要涉及统计过程控制、质量管理。主持广西自然科学基金2项。在《Technometrics》、《Computers & Industrial Engineering》、《数理统计与管理》等国内外期刊发表论文20余篇。主要承担《属性数据分析》、《统计模型》、《R语言程序设计》、《质量控制》、《应用统计》等本科生和研究生课程。

联系地址：广西桂林市雁山区雁山街319号，桂林理工大学数学与统计学院（邮编：541006）

电子邮箱：xufeng34@163.com

二、学习工作经历

2023.11-至今     桂林理工大学，数学与统计学院, 副教授

2022.12-2023.11  桂林理工大学，理学院, 副教授

2020.07-2022.12  桂林理工大学，理学院, 讲师

2017.09-2020.06  暨南大学，统计学专业，经济学博士

2013.09-2016.06  桂林理工大学，统计学专业，理学硕士

三、主持的科研项目 

1. 广西自然科学基金，青年科学基金项目，2021GXNSFBA220013，复杂数据的过程诊断方法研究及评价系统构建，2021-12至2024-11，结题，主持. 

四、部分发表论文（统计过程控制方向）

1.Xiong Dan, Deng Guangming, Xu Feng*. Diagnostic approach of general linear profile in the presence of within profile autocorrelation[J], Quality and Reliability Engineering International, 2025, 41(7), 3089–3108.

2.Xiong Dan, Xu Feng*. A robust diagnostic approach in mean shifts for multivariate statistical process control[J], Journal of Statistical Computation and Simulation, 2025, 95(3), 507-524.

3.Zheng Yimin, Xu Feng*. Monitoring general linear profiles with between-profile correlation using the MEWMA based on U statistic[J]. Communications in Statistics - Theory and Methods, 2025, 54(9), 2549-2564.

4.Zeng Zhen, Xu Feng*. Huber-Dutter estimation of linear models with dependent errors[J]. Communications in Statistics - Theory and Methods, 2024, 53(23):8441-8455.

5.Xu Feng, Shu Lianjie*, Li Yanting, Wang Binhui. Joint diagnosis of high-dimensional process mean and covariance matrix based on Bayesian model selection[J]. Technometrics, 2023, 65(4):465–479.

6.Xu Feng, Deng Xiaoqin. Joint diagnosis of process mean vector and covariance matrix for multivariate statistical process control[J]. Computers & Industrial Engineering, 2023, 179: 109222.

7.Xu Feng, Li Xiongying. The effect of autocorrelation on the diagnostic procedures[J]. Communications in Statistics-Theory and Methods. 2023, 52(10): 3333-3349.

8.Xu Feng. A Bayesian approach to diagnosing general linear profiles[C]. In 2023 The 6th International Conference on Computers in Management and Business (ICCMB) (ICCMB 2023), January 13–15, 2023, Macau, China. ACM, New York, NY, USA.

9.徐锋, 王斌会, 颜斌. ARMA型过程能力指数的统计推断方法研究[J]. 数理统计与管理, 2023, 42(6): 1010-1024.

10.徐锋, 王斌会, 颜斌. 面向未知自相关过程能力指数的 Bootstrap 区间估计[J]. 统计与决策, 2022, 5:17-22.

11.Xu Feng, Zeng Zhen. An improved result in almost sure local central limit theorem for the partial sums[J]. Proceedings of the Indian Academy of Sciences-Mathematical Sciences, 2022, 132:14.

12.Xu Feng, Wang Binhui, Hou Yawen. Almost sure local central limit theorem for the product of some partial sums with optimized weight[J]. Communications in Statistics – Theory and Methods, 2021, 50(13): 3051-3062.

13.Wang Binhui, Xu Feng*, Shu Lianjie. A Bayesian approach to diagnosing covariance matrix shifts[J]. Quality and Reliability Engineering International, 2020, 36:736–752.

14.Xu Feng, Wang Binhui, Hou Yawen. Almost sure local central limit theorem for the product of some partial sums of negatively associated sequences[J]. Journal of Inequalities and Applications, 2019, 2019: 309.

15.Xu Feng, Wu Qunying. Almost sure central limit theorem for self-normalized partial sums of ρ--mixing sequences[J]. Statistics & Probability Letters, 2017, 129: 17-27.

16.徐锋, 吴群英. NA列自正则某些部分和乘积的几乎处处中心极限定理[J]. 山东大学学报(理学版), 2016, 51(2): 50-57.