导师姓名：黄圣君
性别：男
人气指数：96

所属院校：南京航空航天大学
所属院系：计算机科学与技术学院
职称：副教授
导师类型：硕导
招生专业：计算机科学与技术
研究领域： 为机器学习，数据挖掘和模式识别。
研究领域： 为机器学习，数据挖掘和模式识别。 [收起]




通讯方式 :
电子邮件：huangsj@nuaa.edu.cn


个人简述 :
分别于2008年和2014年从南京大学计算机系获得本科和博士学位，2014年加入南京航空航天大学计算机学院。
?江苏省人工智能学会学术工委秘书长
中国计算机学会人工智能与模式识别专委会委员
中国人工智能学会机器学习专委会委员
SCI期刊《Frontiers of Computer Science》青年编委
国际会议 PRICAI 2018 Publicity Chair
国际会议?IJCNN'16 Special Session on MLILD Organization Chair
高级程序委员会委员：IJCAI'17, ACML'17.
程序委员会委员：NIPS'17, KDD'17, AAAI'17, SDM'17, NIPS'16, KDD'16, IJCAI'16, AAAI'16, KDD'15, IJCAI'15, PAKDD'15, etc.
审稿人：TPAMI, TKDE, TKDD, MLJ, TNNLS, TCYB, TIST, JCST, PR, etc.

科研工作 :
发表学术论文,出版专著情况：
在机器学习、数据挖掘领域的国际顶级期刊和会议如PAMI, NIPS, KDD, IJCAI, AAAI, ICDM等发表论文20余篇，论文据Google Scholar被引1000余次。　具体请参见个人主页：http://parnec.nuaa.edu.cn/huangsj
代表性论文如下：
Feihu Huang, Songcan Chen and Sheng-Jun Huang. Joint Estimation of Multiple Conditional Gaussian Graphical Models. In: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017.
Nengneng Gao, Sheng-Jun Huang and Songcan Chen. Cross Modal Similarity Learning with Active Queries. In: Pattern Recognition (PR), 2017.
Yousefnezhad Muhammad, Sheng-Jun Huang, and Daoqiang Zhang. WoCE: a framework for clustering ensemble by exploiting the wisdom of crowds theory. In: IEEE Transactions on Cybernetics (TCYB), 2017.
Sheng-Jun Huang, Nengneng Gao and Songcan Chen. Multi-instance multi-label active learning. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), 2017.
Sheng-Jun Huang Jia-Lve Chen, Xin Mu and Zhi-Hua Zhou. Cost-Effective Active Learning from Diverse Labelers. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), 2017.
Yi Ding, Sheng-Jun Huang, Chen Zu and Daoqiang Zhang. Margin Distribution Logistic Machine. In: Proceedings of the 17th SIAM International Conference on Data Mining (SDM'17), 2017.
Sheng-Jun Huang and Songcan Chen. Transfer learning with active queries from source domain. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
Sheng-Jun Huang, Songcan Chen and Zhi-Hua Zhou. Multi-label active learning: query type matters. In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), 2015.
Sheng-Jun Huang, Rong Jin and Zhi-Hua Zhou. Active learning by querying informative and representative examples. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2014.
Sheng-Jun Huang Wei Gao and Zhi-Hua Zhou. Fast multi-instance multi-label learning. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14), 2014.
Sheng-Jun Huang, Yang Yu and Zhi-Hua Zhou. Multi-label hypothesis reuse. In: Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'12), 2012.
Sheng-Jun Huang and Zhi-Hua Zhou. Multi-label learning by exploiting label correlations locally.
In: Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI'12), 2012.
Sheng-Jun Huang, Rong Jin and Zhi-Hua Zhou. Active learning by querying informative and representative examples. In: Advances in Neural Information Processing Systems 24 (NIPS'10), 2010.
科研成果获奖及专利：
中国科协“青年人才托举工程”
南京航空航天大学首届“长空学者”计划。
中国计算机学会优秀博士学位论文奖
江苏省计算机学会首届优秀博士学位论文奖
CCF-腾讯犀牛鸟科研基金优秀奖
KDD’12 Best Poster奖
微软学者奖
获发明专利授权2项
承担的科研项目情况：
主持国家自然科学基金青年项目、江苏省自然科学基金青年项目、CCF-腾讯犀牛鸟基金、中国博士后特别资助项目及面上项目等。