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个人简介
Dr. Wu’s major research interests include data mining, data privacy, fraud detection, fairness aware learning, and big data analysis. His recent research work has focused on 1) privacy preserving techniques for mining tabular data, social network data, healthcare data, and GWAS data, 2) spectral graph analysis based and deep learning based fraud detection techniques in cyberspace, and 3) causal modeling based discrimination detection and removal from training data and predictive models.
Dr. Wu has co-authored over 130 scholarly papers, many of which were published in premier conferences such as KDD, WWW, CIKM, ICDM, SDM, IJCAI, AAAI, and NeurIPS, and top journals such as TKDD, TKDE, TDSC, TOSEM, and Machine Learning. He and his students received several awards including PAKDD'09 Best Student Paper Runner-up Award, WISE'12 Challenge Runner-up Award, PAKDD'13 Best Application Paper Award, BIBM13 Best Paper Award, CNS’19 Best Paper Award, and PAKDD’19 Most Influential Paper Award (selected from PAKDD’09 proceedings).
Dr. Wu is/was an associate editor or editorial board member of Springer's Journal of Intelligent Information Systems, InderScience Publisher's International Journal of Social Network Mining, Spanish Higher Research Council's Transaction on Data Privacy, Springer’s Social Network Analysis and Mining, Springer’s Journal of Data Science and Analytics, and Frontiers’ Data Mining & Management, and has served on NSF review panels and program committees as area chair, senior PC, and PC of top international conferences, including ACM KDD, WWW, CIKM, IEEE ICDM, SIAM SDM, AAAI, IJCAI, PKDD, and PAKDD. He served as the program co-chair of the 2020 IEEE International Conference on Big Data and the 2nd International Symposium on Data, Privacy and E-Commerce (ISDPE'10), publication co-chair of KDD15, and award co-chair of DSAA 18&19. Dr. Wu is a recipient of NSF CAREER Award (2006), Excellence in Undergraduate Teaching Award (2005), and Outstanding Faculty Research Award (2009) from College of Computing and Informatics at UNC Charlotte, and Outstanding Researcher Award (2016) from Department of Computer Science and Computer Engineering at University of Arkansas.
Dr. Wu has co-authored over 130 scholarly papers, many of which were published in premier conferences such as KDD, WWW, CIKM, ICDM, SDM, IJCAI, AAAI, and NeurIPS, and top journals such as TKDD, TKDE, TDSC, TOSEM, and Machine Learning. He and his students received several awards including PAKDD'09 Best Student Paper Runner-up Award, WISE'12 Challenge Runner-up Award, PAKDD'13 Best Application Paper Award, BIBM13 Best Paper Award, CNS’19 Best Paper Award, and PAKDD’19 Most Influential Paper Award (selected from PAKDD’09 proceedings).
Dr. Wu is/was an associate editor or editorial board member of Springer's Journal of Intelligent Information Systems, InderScience Publisher's International Journal of Social Network Mining, Spanish Higher Research Council's Transaction on Data Privacy, Springer’s Social Network Analysis and Mining, Springer’s Journal of Data Science and Analytics, and Frontiers’ Data Mining & Management, and has served on NSF review panels and program committees as area chair, senior PC, and PC of top international conferences, including ACM KDD, WWW, CIKM, IEEE ICDM, SIAM SDM, AAAI, IJCAI, PKDD, and PAKDD. He served as the program co-chair of the 2020 IEEE International Conference on Big Data and the 2nd International Symposium on Data, Privacy and E-Commerce (ISDPE'10), publication co-chair of KDD15, and award co-chair of DSAA 18&19. Dr. Wu is a recipient of NSF CAREER Award (2006), Excellence in Undergraduate Teaching Award (2005), and Outstanding Faculty Research Award (2009) from College of Computing and Informatics at UNC Charlotte, and Outstanding Researcher Award (2016) from Department of Computer Science and Computer Engineering at University of Arkansas.
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Advances in Knowledge Discovery and Data Mining Lecture Notes in Computer Sciencepp.246-257, (2024)
AAAI 2024no. 18 (2024): 20438-20446
ACM Transactions on Knowledge Discovery from Data (2024)
arxiv(2024)
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2024 IEEE Green Technologies Conference (GreenTech)pp.155-156, (2024)
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CoRR (2024)
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