Kai Xu
Associate Professor in Data Analytics
Computer Science
Middlesex University
Data Visualisation, Machine Lerning
Dr Kai has 20 year experience in data science research and practice. He has a PhD in Computer Science focusing on query optimisation for large databases. Since then, he has been working on data science problems in a number of domains including intelligence analysis, cyber security, social media, autonomous driving, eScience, and bioinformatics. He believes in integrating human intelligence, such as expert knowledge, with machine intelligence, such as machine learning models, which leads to over 60 peer-reviewed publications and a few international awards. He also enjoys the practical side of data science, from contributing to open-source visualisation software to developing visual analysis software. He led and participated in over 10 data science projects, including short-term consulting pmore...
Dr Kai has 20 year experience in data science research and practice. He has a PhD in Computer Science focusing on query optimisation for large databases. Since then, he has been working on data science problems in a number of domains including intelligence analysis, cyber security, social media, autonomous driving, eScience, and bioinformatics. He believes in integrating human intelligence, such as expert knowledge, with machine intelligence, such as machine learning models, which leads to over 60 peer-reviewed publications and a few international awards. He also enjoys the practical side of data science, from contributing to open-source visualisation software to developing visual analysis software. He led and participated in over 10 data science projects, including short-term consulting projects to multi-year 100+-person international project with over £10 million budget.
Latest Additions
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Fekete, Jean-Daniel, Jankun-Kelly, T. J., Tory, Melanie and Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440 (2019) Provenance and logging for sense making. Dagstuhl Reports, 8 (11) . pp. 35-62. ISSN 2192-5283 [Article] (doi:10.4230/DagRep.8.11.35)
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Fekete, Jean-Daniel, Jankun-Kelly, T. J., Tory, Melanie and Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440 (2019) Provenance analysis for sensemaking. IEEE Computer Graphics and Applications, 39 (6) . pp. 27-29. ISSN 0272-1716. [Journal Guest Editorial] (doi:10.1109/MCG.2019.2945378)
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Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440, Salisu, Saminu, Nguyen, Phong H., Walker, Rick, Wong, B. L. William
ORCID: https://orcid.org/0000-0002-3363-0741, Wagstaff, Adrian, Phillips, Graham and Biggs, Mike (2020) TimeSets: temporal sensemaking in intelligence analysis. IEEE Computer Graphics and Applications, 40 (3) . pp. 83-93. ISSN 0272-1716 [Article] (doi:10.1109/MCG.2020.2981855)
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Wenskovitch, John, Zhou, Michelle, Collins, Christopher, Chang, Remco, Dowling, Michelle, Endert, Alex and Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440 (2020) Putting the "I" in Interaction: interactive interfaces personalized to the individual. IEEE Computer Graphics and Applications, 40 (3) . pp. 73-82. ISSN 0272-1716 [Article] (doi:10.1109/MCG.2020.2982465)
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Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440, Ottley, Alvitta, Walchshofer, Conny, Streit, Marc, Chang, Remco and Wenskovitch, John (2020) Survey on the analysis of user interactions and visualization provenance. Computer Graphics Forum, 39 (3) . pp. 757-783. ISSN 0167-7055 [Article] (doi:10.1111/cgf.14035)
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Salisu, Saminu, Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440, Wagstaff, Adrian, Biggs, Mike and Phillips, Graham (2016) TimeSets for uncertainty visualisation. Computer Graphics and Visual Computing (CGVC) 2016. In: EG UK Computer Graphics & Visual Computing 2016, 15-16 Sept 2016, Bournemouth, United Kingdom. ISBN 9783038680222. [Conference or Workshop Item] (doi:10.2312/cgvc.20161291)
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Attfield, Simon
ORCID: https://orcid.org/0000-0001-9374-2481, Hewitt, Daniel, Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440, Passmore, Peter J.
ORCID: https://orcid.org/0000-0002-5738-6800, Wagstaff, Adrian, Phillips, Graham, Windridge, David
ORCID: https://orcid.org/0000-0001-5507-8516, Dash, Greg, Chapman, Richard and Mason, Lee (2016) Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines. In: IEEE VAST Challenge 2016, 23 Oct 2016, Baltimore, MD, USA. . [Conference or Workshop Item]
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Nguyen, Phong H., Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440 and Wong, B. L. William
ORCID: https://orcid.org/0000-0002-3363-0741 (2016) Interaction log and provenance for sensemaking. LIVVIL: Logging Interactive Visualizations and Visualizing Interaction Logs. Workshop IEEE VIS 2016. In: LIVVIL: Logging Interactive Visualizations & Visualizing Interaction Logs, 23 Oct 2016, Baltimore, MD, USA. . [Conference or Workshop Item]
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Nguyen, Phong H., Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440, Bardill, Andy, Salman, Betul, Herd, Kate
ORCID: https://orcid.org/0000-0002-0019-1340 and Wong, B. L. William
ORCID: https://orcid.org/0000-0002-3363-0741 (2016) SenseMap: supporting browser-based online sensemaking through analytic provenance. 2016 IEEE Conference on Visual Analytics Science and Technology (VAST). In: VIS 2016: IEEE Visualization Conference, 23-28 Oct 2016, Baltimore, Maryland, USA. ISBN 9781509056613. [Conference or Workshop Item] (doi:10.1109/vast.2016.7883515)
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Nguyen, Phong H., Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440, Wheat, Ashley, Wong, B. L. William
ORCID: https://orcid.org/0000-0002-3363-0741, Attfield, Simon
ORCID: https://orcid.org/0000-0001-9374-2481 and Fields, Bob
ORCID: https://orcid.org/0000-0003-1117-1844 (2016) SensePath: understanding the sensemaking process through analytic provenance. IEEE Transactions on Visualization and Computer Graphics, 22 (1) . pp. 41-50. ISSN 1077-2626 [Article] (doi:10.1109/TVCG.2015.2467611)
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