吴信东

姓 名 吴信东 性 别 男 出生年月 1963年9月 最终学位 博士 毕业学校 [英国]爱丁堡大学 从事专业 计算机应用 职 务 所属院系 计算机与信息学院 所属科室 职 称 教 授 联系方式 办公电话 E－mail xwu@cs.uvm.edu.cn 通讯地址 邮 编 简 历 吴信东，安徽省枞阳县人。1984年8月获合肥工业大学微型机应用研究所计算机应用学士学位， 1987年7月获合肥工业大学计算机与信息系计算机应用硕士学位，1993年7月获英国爱丁堡(Edinburgh) 大学人工智能博士学位。 1987年7月至1991年3月在合肥工业大学任助教。1993年7月至2001年8月，曾先后在澳大利亚的詹姆士-库克(James Cook)大学任讲师，(澳) 莫那什(Monash)大学任高级讲师，和美国的科州矿业学院(Colorado School of Mines)任副教授。 2001年9月至今，在美国佛蒙特(Vermont)州的佛蒙特大学计算机科学系任正教授和系主任。 2006年3月被中国国家教育部接受为合肥工业大学计算机应用岗位的2005年长江学者讲座教授。 研究方向 吴信东教授的研究兴趣涉及数据挖掘(Data Mining)、基于知识的系统(Knowledge-Based Systems)、和万维网信息探索(Web Information Exploration)。他曾在国内>、>、>(英文版)，国际期刊、会议，和各类文献上发表研究论文170余篇。曾在国内电子工业出版社、中国科技大学出版社、美国Ablex出版社、荷兰ISO出版社、和德国Springer出版社等出版专著和各类研究论文集共18部。 吴信东教授是国际学报>(Knowledge and Information Systems)的创办人、主编(1999年1月～2004年12月) 、和名誉主编(2005年1月至今) ，国际电机与电子工程师学会“国际数据挖掘大会”(IEEE International Conference on Data Mining) 的创办人和指导委员会主席(2001年至今)，德国Springer出版社(Advanced Information and Knowledge Processing)系列丛书的两名主编之一，和国际电机与电子工程师学会计算机学会(IEEE Computer Society)智能信息处理(Intelligent Informatics)委员会的主任(2002~2006)。他曾受邀、受聘在17个国际会议上作特邀或主题报告，在8份学术期刊的编委会和100多个专业会议的程序委员会上担任各种职务，包括《IEEE Transactions on Knowledge and Data Engineering》的副编(Associate Editor, 2000年1月～2003年12月)、主编(2005年1月至今)、和几个会议的大会主席或程序委员会主席。 吴信东教授在澳大利亚和美国指导、 毕业了5名博士研究生和14名硕士研究生，资助并指导了4名博士后研究人员。 教学工作 曾给本科生和研究生讲授的计算机软件课程包括：人工智能、专家系统、数据开采、软件工程、万维网开发、操作系统、高等数据结构与数据库系统、和多种程序语言(Java, C++, Visual Basic, Prolog). 获奖情况 2004年ACM SIGKDD奉献奖; 2005年IEEE ICTAI最优论文奖； 2006年IEEE ICDM杰出奉献奖。 主要论著 - Xindong Wu and Xingquan Zhu, Mining with Noise Knowledge: Error-Aware Data Mining, IEEE Transactions on System, Man and Cybernetics, Part A, 38(2008), 4: 917-932. - Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. Mclachlan, Angus Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, and Dan Steinberg, Top 10 Algorithms in Data Mining, Kwledge and Information Systems, 14(2008), 1: 1-37. - Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, General Tensor Discriminant Analysis and Gabor Features for Gait Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2007), 10: 1700-1715. - Jun Gao, Zhao Xie, Xindong Wu, Generic Object Recognition with Regional Statistical Models and Layer Joint Boosting, Pattern Recognition Letters, 28(2007), 16: 2227-2237. - Xuegang Hu, Peipei Li, Xindong Wu, and Gongqing Wu, A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams, Journal of Computer Science and Technology, 22(2007), 5: 711-724. - Feng Xue, You-Sheng Zhang, Ju-Lang Jiang, Min Hu, Xindong Wu, Rong-Gui Wang, Real-time Texture Synthesis Using s-Tile Set, Journal of Computer Science and Technology, 22(2007), 4: 590-596. - Dacheng Tao, Xiaoou Tang, Xuelong Li, and Xindong Wu, Asymmetric Bagging and Random Subspacing for Support Vector Machines-based Relevance Feedback in Image Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(2006), 7:1088-1099. - Xingquan Zhu, Xindong Wu, and Qichen Chen, Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Datasets, Data Mining and Knowledge Discovery, 12(2006), 2: 275-308. - Xingquan Zhu, Xindong Wu, and Ying Yang, Effective Classification of Noisy Data Streams with Attribute-Oriented Dynamic Classifier Selection, Knowledge and Information Systems, 9(2006), 3: 339-363. - Shichao Zhang, Feng Cheng, and Xindong Wu, Identifying Bridging Rules between Conceptual Clusters, Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006) (acceptance rate: 23%), August 20 - 23, 2006, Philadelphia, USA. - Xindong Wu, Chengqi Zhang, and Shichao Zhang, Database Classification for Multi-Database Mining, Information Systems, 30(2005), 1: 71-88. - Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, and Lide Wu, Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective, IEEE Transactions on Knowledge and Data Engineering, 17(2005), 5: 665-677. - Xingquan Zhu and Xindong Wu, Cost-Constrained Data Acquisition for Intelligent Data Preparation, IEEE Transactions on Knowledge and Data Engineering, 17(2005), 11: 1542-1556. - Hao Huang, Xindong Wu, and Richard Relue, Mining Frequent Patterns with the Pattern Tree, New Generation Computing, 23(2005), 4: 315-337. - Ying Yang, Xindong Wu, and Xingquan Zhu, Combining Proactive and Reactive Predictions for Data Streams, Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2005) (acceptance rate: 40 full papers + 36 short papers, out of 358 research-track submissions), Chicago, IL, USA, August 21-24, 2005, 710-715. - Dacheng Tao, Xuelong Li, Weiming Hu, Stephen Maybank, and Xindong Wu, Supervised Tensor Learning, Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM '05) (acceptance rate: 69/630 for regular papers), Houston, TX, USA, 27 - 30 November 2005, 450-457. - Gong Chen, Xindong Wu, and Xingquan Zhu, Sequential Pattern Mining in Multiple Data Streams, Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM '05) (acceptance rate: 69 regular papers + 72 short papers, out of 630 submissions), Houston, TX, USA, 27 - 30 November 2005, 585-588. - Yan Zhang, Xingquan Zhu, Xindong Wu, and Jeffrey P. Bond, ACE: An Aggressive Classifier Ensemble with Error Detection, Correction and Cleansing (this paper won the Best Paper Award of the conference), Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005) (acceptance rate: 36/297 for regular papers), Hong Kong, November 14-16, 2005, 310-317. - Shichao Zhang, Chengqi Zhang, and Xindong Wu, Knowledge Discovery in Multiple Databases, Springer, 2004. ISBN 1-85233-703-6. - Xindong Wu, Chengqi Zhang, and Shichao Zhang, Efficient Mining of Both Positive and Negative Association Rules, ACM Transactions on Information Systems, 22(2004), 3: 381-405. - Ying Yang and Xindong Wu, Parameter Tuning for Induction Algorithm Oriented Feature Elimination, IEEE Intelligent Systems, 19(2004), 2: 40-49. - Xingquan Zhu and Xindong Wu, Class Noise vs Attribute Noise: A Quantitative Study of Their Impacts, Artificial Intelligence Review, 22(2004), 3-4: 177-210. - Xingquan Zhu, Xindong Wu, Jianping Fan, Walid G. Aref, and Ahmed K. Elmagarmid, Exploring Video Content Structure for Hierarchical Summarization, Multimedia Systems, 10(2004), 2: 98-115. - Xingquan Zhu, Xindong Wu, and Ying Yang, Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets, Proceedings of the 19th National Conference on Artificial Intelligence (AAAI-04) (acceptance rate: 121/453), July 25-29, 2004, San Jose, California, 378-383. - Xingquan Zhu and Xindong Wu, Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning , Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM '04) (acceptance rate: 39/451 for regular papers), Brighton, UK, November 1 - 4, 2004, 297-304. - Xingquan Zhu, Xindong Wu, and Ying Yang, Dynamic Classifier Selection for Effective Mining from Noisy Data Streams, Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM '04) (acceptance rate: 39/451 for regular papers), Brighton, UK, November 1 - 4, 2004, 305-312. - Xindong Wu, Alex Tuzhilin, and Jude Shavlik (Eds), Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM '03), Melbourne, Florida, USA, November 19 - 22, 2003. IEEE Computer Society Press, California, USA. ISBN 0-7695-1978-4. - Xindong Wu and Shichao Zhang, Synthesizing High-Frequency Rules from Different Data Sources, IEEE Transactions on Knowledge and Data Engineering, 15(2003), 2: 353-367. - Xingquan Zhu and Xindong Wu, Mining Video Associations for Efficient Database Management, Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) (acceptance rate: 189 regular papers + 63 poster papers, out of 913 full-paper submissions), Acapulco, Mexico, August 12-15, 2003, 1422-1424. - Xingquan Zhu, Xindong Wu, and Qijun Chen, Eliminating Class Noise in Large Datasets, Proceedings of the 20th International Conference on Machine Learning (ICML-2003) (acceptance rate: 119/371), Washington D.C., USA, August 21-24, 2003, 920-927. - Xindong Wu, Chengqi Zhang, and Shichao Zhang, Mining Both Positive and Negative Association Rules, Proceedings of the 19th International Conference on Machine Learning (ICML-2002) (acceptance rate: 86/261), The University of New South Wales, Sydney, Australia, 8-12 July 2002, 658-665. - Hao Huang, Xindong Wu, and Richard Relue, Association Analysis with One Scan of Databases, Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM '02) (acceptance rate: 72 regular papers + 49 short papers & industry-track papers, out of 369 submissions), Maebashi TERRSA, Maebashi City, Japan, December 9 - 12, 2002, 629-632. - Richard Relue, Xindong Wu, and Hao Huang, Efficient Runtime Generation of Association Rules, Proceedings of the 10th ACM International Conference on Information and Knowledge Management (ACM CIKM 2001) (acceptance rate: 66/259 for regular papers), Doubletree Hotel Atlanta-Buckhead, Atlanta, Georgia, USA, November 5-10, 2001, 466-473. - Xindong Wu, Building Intelligent Learning Database Systems, AI Magazine, 21(2000), 3: 61-67. - Xindong Wu and Kevin Cai, Knowledge Object Modeling, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 30(2000), 2: 96-107. - Xindong Wu and David Urpani, Induction by Attribute Elimination, IEEE Transactions on Knowledge and Data Engineering, 11(1999), 5: 805-812. - Xindong Wu, Fuzzy Interpretation of Discretized Intervals, IEEE Transactions on Fuzzy Systems, 7(1999), 6: 753-759. - Meide Zhao, Francis K.H. Quek, and Xindong Wu, RIEVL: Recursive Induction Learning in Hand Gesture Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1998), 11: 1174-1185. - Xindong Wu, Rule Induction with Extension Matrices, Journal of the American Society for Information Science, 49(1998), 5: 435-454.