柴晶
姓名
柴晶
性别
男



学历
研究生
学位
博士


出生年月
1983.09
政治面貌
党员


职称
讲师
职务
无


硕导
是
博导
否

邮箱
jingchai@aliyun.com
招生专业
信息与通信工程

研究方向
机器学习

研究生指导
2012年以来累计指导硕士研究生8名

学习与工作经历
【学习经历】2010年毕业于西安电子科技大学，获工学博士学位
【工作经历】2012年起在太原理工大学工作

主讲课程
计算机网络，SOC集成电路设计

主要科研项目及成果
主持国家自然科学基金和山西省自然科学基金各一项，发表学术论文多篇。

论文、著作、专利
【论文】
? Jing Chai^*, Ivor W. Tsang, Weijie Chen. Large Margin Partial Label Machine. IEEE Trans. on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2019.**. (SCI Q1 Journal, Impact Factor: 11.683)
? 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. (CCF Rank B Conference)
? Jing Chai^*, Bo Chen, Fan Liu, Zehua Chen, Xinghao Ding. Multiple-Instance Feature Extraction at the Bag and Instance LevelsUsing the Maximum Trace-Difference Criterion. Information Sciences, vol. 385, pp. 353-377, 2017. (SCI Q2 Journal, Impact Factor: 5.524)
? 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 Q2 Journal, Impact Factor: 5.524)
? Jing Chai^*, Xinghao Ding, Hongtao Chen, Tingyu Li. Multiple-Instance Discriminant Analysis. Pattern Recognition, vol. 47, no. 7, pp. 2517-2531, 2014. (SCI Q2 Journal, Impact Factor: 5.898)
? 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 Q2 Journal, Impact Factor: 5.898)
? Fanhua Shang^*, L.C. Jiao, Jiarong Shi, Jing Chai. Robust Positive semidefinite L-Isomap Ensemble. Pattern Recognition Letters, vol. 32, no. 4, pp. 640-649, 2011. (SCI Q3 Journal, Impact Factor: 2.810)
? 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 Q2 Journal, Impact Factor: 5.898)
? 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 Q2 Journal, Impact Factor: 4.086)
? Jing Chai^*, Hongwei Liu, Zheng Bao. Combinatorial Discriminant Analysis: Supervised Feature Extraction that Integrates Global and Local Criteria. Electronics Letters, vol. 45, no. 18, pp. 934-935, 2009. (SCI Q4 Journal, Impact Factor: 1.343)
? Bo Chen^*, Hongwei Liu, Jing Chai, Zheng Bao. Large Margin Feature Weighting Method via Linear Programming. IEEE Trans. on Knowledge and Data Engineering, vol. 21, no. 10, pp. 1475-1488, Oct. 2009. (SCI Q2 Journal, Impact Factor: 3.857)

学术兼职
无

个人荣誉
无