Ke Wang's research interests include database technology, data mining and knowledge discovery, with emphasis on massive datasets, graph and network data, and data privacy. He is particularly interested in combining the strengths of database, statistics, machine learning and optimization to provide actionable solutions to real life problems and industrial applications. Ke Wang has published in database, information retrieval, and data mining conferences, including SIGMOD, SIGIR, PODS, VLDB, ICDE, EDBT, SIGKDD, SDM, ICDM, WWW, AAAI, and CIKM. He has 30+ papers that receive 100+ citations each. He co-authored a book "Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques", Data Mining and Knowledge Discovery Series, Chapman & Hall/CRC, August 2010. He is currently an associate editor of the ACM TKDD journal and he was an associate editor of the IEEE TKDE journal, an editorial board member for Journal of Data Mining and Knowledge Discovery. He has been the general co-chair for the SIAM Conference on Data Mining 2015 and 2016, and the PC co-chair for SIAM Conference on Data Mining 2008 and the PC co-chair for IEEE International Conference on Intelligence and Security Informatics (ISI) 2010.