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吴偶

吴 偶

职称:
教授
院系:
应用数学中心
电子邮箱:
wuou@tju.edu.cn
办公地点:
卫津路校区6教

研究方向

数据挖掘与机器学习

教育背景

1999.09 - 2003.06 西安交通大学 学士
2003.09 - 2006.06 中国科学院自动化研究所 硕士
2008.09 - 2011.06 中国科学院自动化研究所 博士

工作经历

2007.09 - 2008.06 中国科学院自动化研究所    研究实习员(初级)
2008.09 - 2013.06 中国科学院自动化研究所 助理研究员
2013.09 - 2017.02 中国科学院自动化研究所 副研究员
2017.03 -  今 天津大学应用数学中心、数学学院 教授

教学工作

学生指导 指导硕士生18人,博士生6人
竞赛指导
教改项目 身份

科研工作

基金项目 身份
2009-2011 动态分布式网络入侵模式分析 主持
2013-2017 网页表观挖掘的关键问题研究 主持
2017-2020 排序学习中的对象集结构分析和等序关系输出研究 主持

主要荣誉

北京市科学技术奖,一等奖(2012)
第三届北京市发明专利一等奖(2013)
中国专利奖-优秀奖(2013)
中国人工智能学会优秀博士论文提名(2013)

学术兼职

1.中国人工智能学智能服务专委会,委员, 2016-
2.国际SCI学术期刊《Intelligent Data Analysis - An International Journal》, Associate Editor, 2016-.

其它

发表论文

  • 1.Yunyan Duan and Ou Wu* (equal contribution), Learning with Auxiliary Less-noisy labels, IEEE Transactions on neural network and learning systems (TNNLS), 28(7): 1716-1721, 2017.

  • 2.Ou Wu, Qiang You, Fen Xia, Lei Ma, and Weiming Hu;Listwise Learning to Rank from Crowds;ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 11 Issue 1, August 2016, 39pages; 2016/08/01

  • 3.Ou Wu, Qiang You, Xue Mao, Fen Xia, Fei Yuan;Listwise Learning to Rank by Exploring Structure of Objects;IEEE Transactions on Knowledge and Data Engineering (TKDE), 8(7), pp. 1934-1939;2016/07/01

  • 4.Ou Wu, Haiqiang Zuo, Weiming Hu, Bing Li;Multi-modal Web Aesthetics Assessment based on Structural SVM and Multi-task Fusion Learning;IEEE Transactions on Multimedia (TMM), 18(6), pp. 1062-1076;2016/06/01

  • 5.Qiang You, Ou Wu, Guan Luo, Weiming Hu: A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks. International Conference on Machine Learning and Data Mining (MLDM), 2016: 415-420

  • 6.Qiang You, Ou Wu, Guan Luo, Weiming Hu: Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities. International Conference on Machine Learning and Data Mining (MLDM) 2016: 421-434

  • 7.Bing Li, Weihua Xiong, Ou Wu, Weiming Hu, Stephen J. Maybank, Shuicheng Yan;Horror Image Recognition Based on Context-Aware Multi-Instance Learning;IEEE Trans. Image Processing 24(12): 5193-5205 (2015);2015/12/01

  • 8.Xue Mao, Zhouyu Fu, Ou Wu*, Weiming Hu;Optimizing Locally Linear Classifiers with Supervised Anchor Point Learning;International Joint Conference on Artificial Intelligence (IJCAI), pp. 3699-3706, 2015.;2015/11/01

  • 9.Shuxiao Li, Ou Wu, Chengfei Zhu, Hongxing Chang;Visual object tracking using spatial Context Information and Global tracking skills;Computer Vision and Image Understanding (CVIU)125: 1-15, 2014.;2015/05/01

  • 10.Ou Wu, Ruiguang Hu, Xue Mao, and Weiming Hu;Quality-based Learning for Web Data Classification;AAAI Conference on Artificial Intelligence (AAAI), Oral presentation, pp. 194-200;2014/07/16

  • 11.Ou Wu, Shuxiao Li, Honghui Dong, Ying Chen, and Weiming Hu;Learning from Multi-User Multi-Attribute Annotations;SIAM International Conference on Data Mining (SDM), Oral presentation, pp. 19-27;2014/05/20

  • 12.Weiming Hu, Jun Gao, Yanguo Wang, Ou Wu, Stephen J. Maybank: Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection. IEEE Trans. Cybernetics 44(1): 66-82, 2014.

  • 13.Xue Mao, Ou Wu*, Weiming Hu, Peter O'Donovan: Nonlinear Classification via Linear SVMs and Multi-Task Learning. ACM International Conference on Information and Knowledge Management (CIKM) 2014: 1955-1958.

  • 14.Ou Wu, Weiming Hu, Lei Shi;Measuring the Visual Complexities of Web Pages;ACM Transactions on the Web (TWEB), 7, 1, Article 1; 32pages, 2013/03/01

  • 15.Ou Wu, Weiming Hu, Steve Maybank, Mingliang Zhu, Bing Li;Efficient Clustering Aggregation based on Data Fragments;IEEE Transactions on System, Man, and Cybernetics, Part B: Cybernetics (TSMC-B), 42(3): 913-926;2012/06/01

  • 16.Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu: Unsupervised Ensemble Learning for Mining Top-n Outliers. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (1) 2012: 418-430

  • 17.Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, David Suter: Recognition of adult images, videos, and web page bags. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 7(Supplement): 28, 2011

  • 18.Ou Wu, Weiming Hu, Jun Gao;Learning to Predict the Perceived Visual Quality of Photos; International Conference on Computer Vision (ICCV), pp.225-232;2011/12/01

  • 19.Ou Wu, Weiming Hu, Jun Gao;Learning to Rank under Multiple Annotators; International Joint Conference on Artificial Intelligence (IJCAI), pp.1571-1576;2011/12/01

  • 20.Qishen Wang, Ou Wu*, Weiming Hu, Jinfeng Yang, Wanqing Li: Ranking social emotions by learning listwise preference. Asian Conference on Pattern Recognition (ACPR) 2011: 164-168.

  • 21.Bing Li, Weihua Xiong, Weiming Hu, Ou Wu: Evaluating combinational color constancy methods on real-world images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011: 1929-1936.

  • 22.Ying Chen, Ou Wu: Motion video retrieval based on optical flow and Haar wavelet. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011: 1724-1728.

  • 23.Jianchao Wang, Bing Li, Weiming Hu, Ou Wu: Horror video scene recognition via Multiple-Instance learning. International Conference on Acoustics, Speech and Signal Processing, (ICASSP). 2011: 1325-1328

  • 24.Wei Li, Xiaoqin Zhang, Wenhan Luo, Weiming Hu, Haibin Ling, Ou Wu: Robust object tracking with boosted discriminative model via graph embedding. International Conference on Computer Vision (ICCV) Workshops 2011: 1666-1672.

  • 25.Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, Ou Wu: RKOF: Robust Kernel-Based Local Outlier Detection. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (2) 2011: 270-283.

  • 26.Ou Wu, Yunfei Chen, Bing Li, Weiming Hu: Evaluating the visual quality of web pages using a computational aesthetic approach. ACM International Conference on Web Search and Data Mining (WSDM), 2011: 337-346.

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