付光辉，男，汉，中共党员，博士，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,访问学者
本科生：《概率论与数理统计》，《线性代数》
研究生：《高等数理统计》，《统计科学计算》
主要研究方向：
高维数据的变量选择；不平衡数据统计分析；统计学习；应用统计
承担科研项目及完成情况:
1. 国家自然科学地区基金,11761041,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,21775058,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,21465016,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,11201200,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,11226220,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
代表性教材，论文和专著：
1.Guang-Hui Fu, Lun-Zhao Yi, Jian-Xin Pan, Tuning model parameters in class-imbalance learning with precision-recall curve, Biometrical Journal, (accepted)
2.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, 2017, 171: 241-250
3. 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, 2017, 160: 22-31
4. Guang-Hui Fu, Wen-Ming Zhang, Lin Dai, Ying-Zi Fu, Group Variable Selection with Oracle Property by Weight-Fused Adaptive Elastic Net Model for Strongly Correlated Data, Communications in Statistics-Simulation and Computation, 2014, 43(10): 2468-2481
5. Guang-Hui Fu, Qing-Song Xu, Grouping variable selection by weight fused elastic net for multi-collinear data, Communications in Statistics-Simulation and Computation, 2012, 41(2): 205-221
6. 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 modeling a nonlinear relationship between bioactivity and molecular descriptors, Journal of Chemometrics, 2011, 25(2): 92-99
7. 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, 2011, 65(4): 402-408
