男，汉，1981年4月生，中共党员，博士，副教授 Email: ghuifu@126.com

2001/09-2005/07,云南大学,数学与统计学院,学士
2005/09-2008/07,云南大学,数学与统计学院,硕士
2008/09-2011/06,中南大学,数学与统计学院,博士
2017/08-2018/07,英国曼彻斯特大学,访问****

本科生：《概率论与数理统计》，《线性代数》
研究生：《数理统计》，《高等数理统计》，《统计科学计算》

研究方向：不平衡数据统计建模；变量选择；统计学习；应用统计；化学计量学
承担科研项目及完成情况
1.国家自然科学地区基金,**,类不平衡高维数据的统计建模及在代谢组学中的应用,2018/1-2021/12,36.5万元,在研,主持
2.国家自然科学面上项目基金,**,代谢组学应用于冠心病临床诊断的关键问题研究,2018/1-2021/12,64万元,在研,参与
3. 国家自然科学地区基金,**,代谢组学数据的多层次融合和模型评价方法研究,2015/1-2018/12,49万元,在研,参与
4. 国家自然科学青年基金,**,含有缺失的散度偏大计数数据的有限混合建模研究,2013/1-2015/12,23万元,已结题,参与
5. 国家自然科学数学天元基金,**,高维小样本数据的稀疏模型及其在近红外光谱分析上的应用,2013/01-2013/12,3万元,已结题,主持

1.2020年获“青年拔尖人才”称号
2.2020年获云南省自然科学奖三等奖（排名第三）
3.2015年获“红云园丁奖”
代表性论文
1.Guang-Hui Fu*, Yuan-Jiao Wu, Min-Jie Zong, Jianxin Pan.Hellingerdistance-based stable sparsefeature selection for high-dimensional class-imbalanceddata, BMC Bioinformatics(SCI), 21(1), 121, 2020.
2.Guang-Hui Fu, Yuan-Jiao Wu, Min-Jie Zong, Lun-Zhao Yi*. Feature selection and classification by minimizing overlap degree for class-imbalanced data in metabolomics, Chemometrics and Intelligent Laboratory Systems(SCI),196, 2020.
3.Guang-Hui Fu, Lun-Zhao Yi, Jianxin Pan*. LASSO-based false-positive selection for class-imbalanced data in metabolomics, Journal of Chemometrics(SCI), 33 (10), 2019.
4.Guang-Hui Fu,Min-Jie Zong,Feng-Hua Wang, Lun-Zhao Yi*. A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data. International Journal of Analytical Chemistry(SCI), vol. 2019, 2019.
5.Guang-Hui Fu,Lun-Zhao Yi, Jianxin Pan*. Tuning model parameters in class-imbalanced learning with precision-recall curve. Biometrical Journal(SCI), 61(3), 652-664, 2019.
6.Guang-Hui Fu, Feng Xu, Bing-Yang Zhang, Lun-Zhao Yi*.Stable variable selection of class-imbalanced data with precision-recall criterion. Chemometrics and Intelligent Laboratory Systems (SCI), 171, 241-250, 2017.
7.Guang-Hui Fu, Bing-Yang Zhang, He-Dan Kou, Lun-Zhao Yi*.Stable biomarker screening and classification by subsampling-based sparse regularization coupled with support vector machines in metabolomics. Chemometrics and Intelligent Laboratory Systems (SCI), 160, 22-31, 2017.
8.Guang-Hui Fu*, Wen-Ming Zhang, Lin Dai, Ying-Zi Fu.Group variable selection with oracle property by weight fusedadaptive elasticnet model for strongly correlated data, Communications in Statistics-Simulation and Computation (SCI), 43(10), 2468-2481, 2014.
9.Guang-Hui Fu, Qing-Song Xu^*.Grouping variable selection by weight fused elastic net for multi-collinear data, Communications in Statistics-Simulation and Computation(SCI), 41(2), 205-221, 2012.
10.Guang-Hui Fu, Qing-Song Xu^*, Hong-Dong Li, Dong-Sheng Cao, Yi-Zeng Liang.Elastic Net Grouping Variable Selection Combined with Partial Least Squares Regression (EN-PLSR) for the Analysis of Strongly Multi-collinear Spectroscopic Data,Applied Spectroscopy(SCI), 65(4), 402-408, 2011.
11.Guang-Hui Fu, Dong-Sheng Cao, Qing-Song Xu^*, Hong-Dong Li, Yi-Zeng Liang.Combination of kernel PCA and linear support vector machine for modelinga nonlinear relationship between bioactivity and molecular descriptors, Journal ofChemometrics(SCI), 25(2), 92-99, 2011.