个人简介

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。 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 承担的科研项目情况： 主持新一代人工智能重大项目、国家自然科学基金面上项目、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9名，学生以第一作者发表CCF-A类论文10余篇。多人获国家奖学金，1人获江苏省优硕、2人获江苏省计算机学会、人工智能学会优硕。毕业学生就职于字节跳动、腾讯、华为、搜狗等公司。 教育经历 2008.9 -- 2014.6南京大学 计算机应用技术 博士研究生毕业 工学博士学位 2004.9 -- 2008.6南京大学 计算机科学与技术 大学本科毕业 理学学士学位 科研项目 [1] 面向开放动态环境低质标记数据的主动学习算法研究（参加教育部课题） [2] 基于机器学习的航空**性能预测与优化研究 [3] 成本差异化主动学习研究 [4] 面向视频推荐的多视图主动学习研究 [5] 面向智能对抗决策的主动学习系统研发 [6] 数据有效性评价 [7] 基于机器学习的航空**性能决策研究 [8] CCF青年人才发展计划项目 [9] 基于主动查询的图像文本跨模态度量学习 [10] 多源不确定数据挖掘方法与技术 [11] 代价敏感的主动学习研究 [12] 代价敏感的多标记主动学习研究 [13] 基于多样化查询的多标记主动学习研究 [14] 多标记主动学习研究 [15] 面向多标记任务的主动学习研究 授课信息 数据挖掘 /2020-2021 /秋学期 /32课时 /0.0学分 /16104430

研究领域

机器学习、数据挖掘、模式识别

机器学习

近期论文

查看导师新发文章 （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）

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. [1] 黄圣君,,等.Multi-view active learning for video recommendation.IJCAI Int. Joint Conf. Artif. Intell.,2019 [2] 黄圣君,Xie, Ming-Kun,Xie, Ming-Kun等.Partial multi-label learning.AAAI Conf. Artif. Intell., AAAI,2018 [3] 黄圣君,,等.Learning class-conditional GANs with active sampling.Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.,2019 [4] 黄圣君,黄圣君,黄圣君等.Cross modal similarity learning with active queries.PATTERN RECOGNITION,2018 [5] 黄圣君,黄圣君,黄圣君等.Active feature acquisition with supervised matrix completion.Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.,2018 [6] 黄圣君,黄圣君,黄圣君等.Cost-effective training of deep CNNs with active model adaptation.Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.,2018 [7] 黄圣君,黄圣君,黄圣君等.Cost-effective active learning from diverse labelers.IJCAI Int. Joint Conf. Artif. Intell.,2017 [8] 黄圣君,黄圣君,黄圣君等.Multi-instance multi-label active learning.IJCAI Int. Joint Conf. Artif. Intell.,2017

学术兼职

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.