最终学位:博士
导师类型:博士生导师
电子邮箱:guohusheng@sxu.edu.cn
联系电话:0351-7010566
研究方向:数据挖掘、机器学习
郭虎升,博士,教授,博士生导师,澳门新甫京娱乐娱城平台澳门新甫京娱乐娱城平台人工智能系副主任,主要研究方向为数据挖掘、机器学习等,“三晋英才”青年优秀人才。中国计算机学会(CCF)高级会员、中国计算机学会人工智能与模式识别专委会执行委员,中国人工智能学会(CAAI)机器学习专委会正式委员、知识工程与分布智能专委会正式委员。担任AAAI、CCFAI、CCDM、CCML、NCIIP等国际国内学术会议的论坛主席、程序委员。近年来,主持国家自然科学基金项目2项,主持省部级科学研究、教学改革及其他企事业委托项目10余项,以第一或通讯作者身份在《Neural Networks》、《Pattern Recognition》、《Knowledge & Information Systems》、《Information Sciences》、《软件学报》、《计算机研究与发展》等发表论文40余篇,出版国家级教材1部。曾荣获山西省科技进步二等奖、教育部宝钢教育奖、澳门新甫京娱乐娱城平台十佳青年教师、ACM理事会太原分会优博。近年来指导10余名研究生荣获山西省省级优秀学位论文、CCF太原分部优秀学位论文、研究生国家奖学金等重要荣誉及奖励。
[1] Husheng Guo, Haosen Xia, Hai Li, Wenjian Wang. Concept evolution detection based on noise reduction soft boundary. Information Sciences, 2023, 628, 391-408.
[2] Husheng Guo, Lu Cong, Shuhua Gao, Wenjian Wang. Adaptive classification method for concept drift based on online ensemble. Journal of Computer Research and Development(计算机研究与发展), 2023, 60(7): 1592-1602.(in Chinese)
[3] Husheng Guo, Hai Li, Ni Sun, Qiaoyan Ren, Aijuan Zhang, Wenjian Wang. Concept drift detection and accelerated convergence of online learning. Knowledge and Information Systems, 2023, 65, 1005-1043.
[4] Mingming Han, Husheng Guo, Jinyan Li, Wenjian Wang. Global-local information based oversampling for multi-class imbalanced data. International Journal of Machine Learning and Cybernetics, 2023.
[5] Husheng Guo, Hai Li, Qiaoyan Ren, Wenjian Wang. Concept drift type identification based on multi-sliding windows. Information Sciences, 2022, 585, 1-23.
[6] Husheng Guo, Qiaoyan Ren, Wenjian Wang. Concept drift class detection based on time window. Journal of Computer Research and Development(计算机研究与发展), 2022, 59 (1): 127-143.(in Chinese)
[7] Husheng Guo, Shuai Zhang, Wenjian Wang. Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift. Neural Networks, 2021, 142, 437-456.
[8] Xiaobo Qi, Husheng Guo, Wenjian Wang. A reliable KNN filling approach for incomplete interval-valued data. Engineering Applications of Artificial Intelligence, 2021, 100, 104175: 1-12.
[9] Husheng Guo, Aijuan Zhang, Wenjian Wang. An accelerator for online SVM based on the fixed-size KKT window. Engineering Applications of Artificial Intelligence, 2020, 92, 103637: 1-18.
[10] Husheng Guo, Aijuan Zhang, Wenjian Wang. Concept drift detection method based on online performance test. Journal of Software(软件学报),2020, 31(4): 932-947. (in Chinese)
[11] Husheng Guo, Wenjian Wang. Granular support vector machine: a review. Artificial Intelligence Review, 2019, 51, 19-32.
[12] Husheng Guo, Wenjian Wang. Support vector machine based on hierarchical and dynamical granulation. Neurocomputing, 2016, 211, 22-33.
[13] Husheng Guo, Wenjian Wang. An active learning-based SVM multi-class classification model. Pattern Recognition, 2015, 48, 1577-1597.
[14] Husheng Guo, Wenjian Wang. A pattern class mining model based on active learning. Journal of Computer Research and Development(计算机研究与发展), 2014, 51(10): 2148-2159.(in Chinese)
[15] Wenjian Wang, Husheng Guo. Granular support vector machine based on mixed measure. Neurocomputing, 2013, 101, 116-128.
[16] Husheng Guo, Wenjian Wang. Dynamical granular support vector regression machine. Journal of Software(软件学报), 2013, 24(11): 2535-2547.(in Chinese)
[17] Husheng Guo, Wenjian Wang. A support vector machine learning method based on granule shift parameter. Journal of Computer Research and Development(计算机研究与发展), 2013, 50(11): 2315-2324.(in Chinese)
1、具有概念漂移特性的流数据自适应建模与高效计算,国家自然科学基金面上项目,No.62276157,2023.01-2026.12(主持人)
2、从大数据到小信息——支持粒度机建模及应用研究,国家自然科学基金青年项目,No.61503229,2016.01-2018.12(主持人)
3、流数据高效挖掘及概念漂移检测关键技术研究,山西省自然科学基金面上项目,No.201901D111033,2019.09-2022.08(主持人)
4、基于分布特征的流数据可靠建模与高效算法设计,国家自然科学基金面上项目,No.62076154,2021.01-2024.12(排名第二)
5、基于数据特性分析的机器学习建模与算法研究,国家自然科学基金面上项目,No.61673249,2017.01-2020.12(排名第二)