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田 青

领域:新一代信息技术产业 学校:南京信息工程大学职称:副教授

田青,山东滕州人,中共党员,博士,副教授,硕士生导师。主要从事机器学习、模式识别、计算机视觉等方向研究,并在相关方向国内外期刊发表学术论文二十余篇。曾先后荣获四川省级优秀毕业生、浙江省级优秀毕业生、博士研究生国家奖学金、ICPR最佳科学论文奖、ICCCS最佳论文提名奖、江苏省优秀博士学位论文奖、南京信息工程大学青年五四奖章等荣誉。硕士生:本人招收硕士研究生,有意将来读博者优先考虑(硕士期间表现优秀者,可推荐到国内外重点院所的知名导师处博士深造)。本科生:欢迎有兴趣在机器学习、模式识别、计算机视觉等人工智能Ⴕ୔...

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教育背景

2012年4月 - 2016年4月:南京航空航天大学,博士

工作经历

2019年7月 - 至今:南京信息工程大学,副教授 2018年2月 - 2019年2月:英国曼彻斯特大学,访问学者 2016年5月 - 2019年6月:南京信息工程大学,讲师 2011年2月 - 2012年2月:美国虹软公司(Arcsoft,股票代码: 688088),研究员

项目课题经历

科研项目:[1].国家自然科学基金(项目号:61702273,2018-2020,主持)[2].江苏省自然科学基金(项目号:BK20170956,2018-2020,主持)[3].江苏省高校自然科学研究面上项目(项目号:17KJB520022,2018-2019,主持)[4].南京信息工程大学科研启动基金(项目号:2016r038,2016-2019,主持)[5].江苏省研究生培养创新工程项目(项目号:CXLX13_159,2013-2015,主持)[6].国家自然科学基金(项目号:61472186,2015-2018,主研,排名2)

论文、成果、著作等

论文发表(不完全):[22] Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously, arXiv:2003.08051v2.[21] Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin, A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition, IEEE Transactions on Cybernetics, accepted.[20] Qing Tian, Meng Cao, Songcan Chen, Hujun Yin, Structure-Exploiting Discriminative Ordinal Multi-Output Regression, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.2978508.[19] Qing Tian, Meng Cao, Songcan Chen, Huyin Yin. Relationships Self-Learning Based Gender-Aware Age Estimation. Neural Processing Letters, 2019, 50: 2141-2160.[18] Qing Tian, Heyang Sun, Chuang Ma, Meng Cao, Yi Chu, Age Estimation via Selecting Discriminated Features and Preserving Geometry, KSII Transactions on Internet and Information Systems, in press.[17] Qing Tian, Wenqiang Zhang, Junxiang Mao, Hujun Yin. Real-time human cross-race aging-related face appearance detection with deep convolution architecture, Journal of Real-Time Image Processing, https://doi.org/10.1007/s11554-019-00903-9, 2019: 1-11.[16] 曹猛 (学生),田青 (共同一作,通讯作者),陈松灿,马廷淮,人类面部属性估计研究: 综述, 软件学报, 2019, 30(7): 2188-2207.[15] Qing Tian, Songcan Chen, Tinghuai Ma, Ordinal Space Projection Learning via Neighbor Classes Representation, Computer Vision and Image Understanding, 2018, 174: 24-32.[14] Qing Tian, Wenqiang Zhang, Liping Wang, Songcan Chen, Hujun Yin, Robust Ordinal Regression Induced by lp-Centroid, Neurocomputing, 2018, 313: 184-195.[13].Qing Tian, Songcan Chen, Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces, Image and Vision Computing, 2018, 69: 9-21. (SCI)[12].Qing Tian, Songcan Chen, Cross-heterogeneous-database age estimation through correlation representation learning, Neurocomputing, 2017, 238: 286-295.[11].Qing Tian, Songcan Chen, Lishan Qiao, Ordinal Margin Metric Learning and Its Extension for Cross-Distribution Image Data, Information Sciences, 2016, 349: 50-64.[10].Qing Tian, Songcan Chen, A Novel Ordinal Learning Strategy: Ordinal Nearest-Centroid Projection, Knowledge-Based Systems, 2015, 88: 144-153.[9].Qing Tian, Songcan Chen, Xiaoyang Tan, Comparative Study Among Three Strategies of Incorporating Spatial Structures to Ordinal Image Regression, Neurocomputing, 2014, 136(20): 152-161.[8].Qing Tian, Songcan Chen, Cumulative Attribute Relation Regularization Learning for Human Age Estimation, Neurocomputing, 2015, 165(1): 456-467.[7].Qing Tian, Hui Xue, Lishan Qiao, Human Age Estimation by Considering both the Ordinality and Similarity of Ages, Neural Processing Letters, 2016: 43(2): 505-521.[6].Qing Tian, Songcan Chen, Cross-Heterogeneous-Database Age Estimation with Co-Representation Among Them, In: Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016. (Best Scientific Paper Award)[5].Qing Tian, Songcan Chen, Xiaoyang Tan, A Unified Gender-Aware Age Estimation, arXiv:1609.03815.[4].Yulian Zhu, Songcan Chen, Qing Tian, Spatial Regularization in Subspace Learning for Face Recognition: Implicit vs. Explicit, Neurocomputing, 2016, 173: 1554-1564.[3].Shaocheng Guo, Songcan Chen, Qing Tian, Ordinal factorization machine with hierarchical sparsity, Frontiers of Computer Science, 2019, 14(1): 67-83.[2].朱快快, 田青, 陈松灿, 结合显性与隐性空间光滑的高效二维图像判别特征抽取, 计算机研究与发展, 2017, 54(5): 1057-1066.[1].余海犇, 田青, 陈松灿, 判别最小平方有序回归, 模式识别与人工智能, 2015, 28(6): 535-541.

专利、著作版权等

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