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Highlights Journal Papers Provenance Sensemaking Visual Analytics

Putting the “i” in interaction: Interactive interfaces personalized to individuals

IEEE Computer Graphics and Applications (CG&A) 2020 Interactive data exploration and analysis is an inherently personal process. One’s background, experience, interests, cognitive style, personality, and other sociotechnical factors often shape such a process, as well as the provenance of exploring, analyzing, and interpreting data. This viewpoint posits both what personal information and how such personal […]

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Highlights Journal Papers Provenance Sensemaking Visual Analytics

Timesets: Timeline visualization with set relations (Information Visualisation journal 2016)

This paper describes a new method designed for temporal visualization with ‘set’ information. Here the ‘set’ can be different ‘theme’ or ‘topic’, such as person, location, organisation, etc. It was selected as the journal cover! More information here

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Highlights Journal Papers Provenance Sensemaking Visual Analytics

Sensepath: Understanding sensemaking process through analytic provenance (TVCG 2015)

The paper is accepted at VAST 2015, and later appeared in the journal TVCG. It introduces a new tool that can save a lot time doing the transcription and coding when analysing the data collected from qualitative studies such as thematic analysis. More details here

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Highlights Journal Papers Provenance Sensemaking Visual Analytics

Analytic Provenance for Sensemaking: A Research Agenda (CG&A 2015)

This is the outcomes from the analytic provenance workshop organised at VIS 2014. It provides an overview of the research related to analytic provenance and the challenges/open problems it faces (a lot). PDF (IEEE digital library Xplore)  

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Highlights Journal Papers Sensemaking Visual Analytics

Concern Level Assessment: Building Domain Knowledge into a Visual System to Support Network Security Situation Awareness (Information Visualisation Journal 2014)

This is a detailed report of our winner entry to the VAST challenge 2012.

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Highlights Journal Papers Visual Analytics

Book chapter on Multivariate Network Visualisation

T. J. Jankun-Kelly, T. Dwyer, D. Holten, C. Hurter, M. Nöllenburg, C. Weaver, and K. Xu, “Scalability Considerations for Multivariate Graph Visualization,” in Multivariate Network Visualization, A. Kerren, H. C. Purchase, and M. O. Ward, Eds. Springer International Publishing, 2014, pp. 207–235. PDF. Multivariate network is a quite challenging problem: it involves both the network structure […]

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Highlights Journal Papers Provenance Sensemaking Visual Analytics

TVCG/VAST 2013: An Extensible Framework for Provenance in Human Terrain Visual Analytics

The paper is accepted by the VAST 2013 conference and will appear in the IEEE Transactions on Visualization and Computer Graphics. It provides visualisation for different uncertainties in Human Terrain Analyisis and a way to construct narratives of the visual exploration discoveries. PDF

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Highlights Journal Papers Sensemaking Visual Analytics

Concern Level Assessment: Building Domain Knowledge into a Visual System to Support Network Security Situation Awareness

This is the journal paper about the VAST Challenge 2012 award. It is accepted by the Information Visualisation journal and will appear shortly. PDF

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Conference Highlights Journal Networks Papers Visual Analytics

InfoVis 2012 paper! A User Study on Curved Edges in Graph Visualisation

This is an extended version of the work presented as a poster at Diagrams 2012 with new user study and analysis. Kai Xu, Chris Rooney, Peter Passmore, and Dong-Han Ham, “A User Study on Curved Edges in Graph Visualisation”, IEEE Information Visualization Conference, 14-29 October 2012, Seattle, US. PDF

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Bioinformatics Highlights Journal Networks Papers Visual Analytics

Journal of Proteome Research (Impact Factor 5.46), to appear

Simone S. Li, Kai Xu, Marc R. Wilkins, “Visualisation and analysis of the complexome network of Saccharomyces cerevisiae”, Journal of Proteome Research (Impact Factor 5.46), to appear. PDF