侯秋玲
浏览量： 更新日期：2020-06-18
侯秋玲，中国农业大学博士学位，副教授。主要从事最优化、数据挖掘及机器学习研究工作。在国际核心期刊《Signal Processing》等发表学术论文10多篇。主持国家自然科学基金1项、省部级项目1项。
联系方式：山东省日照市, 曲阜师范大学管理学院, 276800
电子邮件: qiulinghouhou@163.com
教育情况：
2006.9―2010.7，山东师范大学数学系，应用数学专业，获学士学位
2010.9―2013.7，新疆大学数学与系统科学学院，计算数学专业，获硕士学位
2013.9―2017.7，中国农业大学理学院，运筹与管理专业，获博士学位
工作经历:
2020.01— ， 曲阜师范大学，副教授
研究方向： 最优化、数据挖掘、机器学习
项目基金：
2020.1―2022.12，支持张量机的稀疏优化理论与算法研究,国家自然科学基金,24万，主持
2019.7-2022.6，P-范数下的支持张量机优化理论与应用研究，山东省自然科学基金,4万，主持
学术论著：
1.Qiuling Hou, Jinxin Zhang, Liming Liu, Yiju Wang, Ling Jing, Discriminative information-based nonparallel support vector machine, Signal Processing , 2019, 162: 169–179.
2.Qiuling Hou, Yiju Wang, Ling Jing, Haibin Chen. Linear discriminant analysis based on kernel-basedpossibilistic C-means for hyperspectral images, IEEE Geoscience and Remote Sensing Letters , 2019, 16(8): 1259-1263.
3. Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing. Novel grouping method -based support vector machineplus for structured data, Neurocomputing, 2016, 211: 191–201.
4. Qiuling Hou, Liming Liu, Ling Zhen, Ling Jing. A novel projection nonparallel support vector machine for pattern classification, Engineering Applications of Artificial Intelligence, 2018, 75: 64-75.
5. Qiuling Hou, Meng Lv, Ling Zhen, Ling Jing. Support vector machine with hypergraph-based pairwise constraints, Springerplus, 2016, 5(1): 1651.
6.Qiuling Hou, Ling Jing, Ling Zhen, Yanfei Wang, Pairwise Constraint Propagation-based Transductive Method for Positive and Unlabeled Learning, 2015, pp.5031–5042.
7. Meng Lv, Qiuling Hou, Naiyang Deng, Ling Jing. Collaborative discriminative manifold embedding for hyperspectral imagery, IEEE Geoscience and Remote Sensing Letters, 2017, 14(4): 569– 573.
8. Jinxin Zhang, Qiuling Hou, Ling Zhen, Ling Jing. Locality similarity and dissimilarity preserving support vector machine, International Journal of Machine Learning and Cybernetics, 2017, pp:1-12.
9. Weibao Du, Meng Lv, Qiuling Hou, Ling Jing. Semi-supervised dimension reduction based on pairwise constraint propagation for hyperspectral images, IEEE Geoscience and Remote Sensing Letters, 2016, 13(12): 1880-1884.
10. Weibao Du, Wenwen Qiang, Meng Lv, Qiuling Hou, Ling Zhen, Ling Jing. Semi-supervised dimension reduction based on hypergraph embedding for hyperspectral images. International Journal of Remote Sensing, 2018, 39(6):1696-1712.
