工作经历

2018-07 至 今, 江苏师范大学, 数学与统计学院, 讲师

教育经历

（1）2014-09 至 2018-07， 中国农业大学， 运筹与管理，博士

（2）2011-09 至 2014-07， 北京工业大学， 数学（最优化），硕士

（3）2007-09 至 2011-07， 临沂大学， 数学与应用数学，学士

科研论文

[1] Pei H., Lin Q., Yang L., Zhong P., A novel semi-supervised support vector machine with asymmetric squared loss, Advances in Data Analysis and Classification, 2021, 15(1): 159-191.  

[2] Pei H., Wang K., Lin Q., Zhong P., Robust semi-supervised extreme learning machine, Knowledge-Based Systems, 2018, 159: 203-220.  

[3] Pei H., Wang K., Zhong P., Semi-supervised matrixized least squares support vector machine, Applied Soft Computing, 2017, 61: 72-87.  

[4] Pei H., Chen Y., Wu Y., Zhong P., Laplacian total margin support vector machine based on within-class scatter, Knowledge-Based Systems, 2017, 119: 152-165.  

[5] Wang K., Pei H., Cao J., Zhong P., Robust regularized extreme learning machine for regression with non-convex loss function via DC program, Journal of the Franklin Institute, 2020, 357: 7069-7091.

[6] Wang K., Pei H., Ding X., Zhong P., Robust proximal support vector regression based on maximum correntropy criterion., Scientific Programming, 2019, 3: 1-11.

[7] Wu Y., Pei H., Zhong P., Total margin based balanced relative margin machine, Pattern recognition and image analysis, 2018, 28 (1): 163-167.

[8] Lin Q., Pei H., Wang K., et al., Privacy-preserving one-class support vector machine with Vertically partitioned data, International Journal of Multimedia and Ubiquitous Engineering, 2016, 11: 199-208.

[9] Lin Q., Pei H., Wang K., et al., Privacy-preserving one-class support vector machine with horizontally partitioned data, International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016, 9: 333-342.

[10] Wang K., Cao J., Pei H., Robust extreme learning machine in the presence of outliers by iterative reweighted algorithm, Applied Mathematics and Computation, 2020, 377: 125-186.

[11] Lu L., Lin Q., Pei H., et al., The aLS-SVM based multi-task learning classifiers, Applied Intelligence, 2018, 48: 2393–2407.

教学论文

[1] 裴慧敏. 齐次线性方程组解的结构问题的教学设计[J]. 数学学习与研究, 2022(17): 8-10.

科研项目

江苏省教育厅，面上项目，20KJB110026，半监督分类器的鲁棒模型与求解算法研究，3万，在研.