黄圣君研究生导师介绍
姓名黄圣君 性 别:  行政职务 :
专业技术职务副教授 办公电话 导师类别硕士生导师
最后学历博士毕业 最后学位博士 最后毕业学校南京大学
电子邮件huangsj@nuaa.edu.cn  
工作单位计算机科学与技术学院    
学科研究方向一:
专业名称计算机科学与技术 (招收硕士研究生)                                                                  学科代码11081200
详见个人主页:http://parnec.nuaa.edu.cn/huangsj

机器学习、数据挖掘、模式识别
个人简历(学历、学术经历及社会兼职):
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。

 

主要研究方向为机器学习,数据挖掘和模式识别。

 

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.


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。
指导研究生情况:

已毕业研究生1名,发表SCI论文2篇,CCF-A类论文1篇。获国家奖学金,校优秀硕士论文,毕业就职搜狗公司。
备注:

个人主页: http://parnec.nuaa.edu.cn/huangsj
Email: huangsj@nuaa.edu.cn
欢迎对我的研究内容感兴趣的同学联系,准备读研或者希望提前参与研究的本科生均可。要求具有强烈的科研愿望。