柴晶 - 太原理工大学 - 信息与计算机学院

个人简介

2001/08—2005/07 西安电子科技大学本科 2005/09—2010/06 西安电子科技大学硕博连读 2010/11—2011/03 杜克大学访问学者 2011/04—2011/11 航天科工集团8511研究所工程师 2012/01—至今太原理工大学讲师

研究领域

弱监督学习

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Jing Chai*, Weiwei Liu, Ivor Tsang, Xiaobo Shen. Compact Multiple-Instance Learning. The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore, accepted. (CCF B类会议) Jing Chai*, Bo Chen, Fan Liu, Zehua Chen, Xinghao Ding. Multiple-Instance Feature Extraction at the Bag and Instance Levels Using the Maximum Trace-Difference Criterion. Information Sciences, vol. 385, pp. 353-377, 2017. (SCI二区期刊) Jing Chai*, Zehua Chen, Hongtao Chen, Xinghao Ding. Designing Bag Level Multiple-Instance Feature Weighting Algorithms Based on The Large Margin Principle. Information Sciences, vol. 367, pp. 783-808, 2016. (SCI二区期刊) Jing Chai*, Xinghao Ding, Hongtao Chen, Tingyu Li. Multiple-Instance Discriminant Analysis. Pattern Recognition, vol. 47, no. 7, pp. 2517-2531, 2014. (SCI二区期刊) Jing Chai*, Hongtao Chen, Lixia. Huang, Fanhua Shang. Maximum Margin Multiple- Instance Feature Weighting. Pattern Recognition, vol. 47, no. 6, pp. 2091-2103, 2014. (SCI二区期刊) Jing Chai*, Hongwei Liu, Zheng Bao. Generalized Re-weighting Local Sampling Mean Discriminant Analysis. Pattern Recognition, vol. 43, no. 10, pp. 3422-3432, 2010. (SCI二区期刊) Jing Chai*, Hongwei Liu, Bo Chen, Zheng Bao. Large Margin Nearest Local Mean Classifier. Signal Processing, vol. 90, no. 1, pp. 236-248, 2010. (SCI二区期刊)