Category: Highlights
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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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Funding: Multiple Source Information Assimilation to Support Decision-Making (2013-2015, £200k)
A £200k two-year project funded by the Defence Human Capability Science & Technology Centre. The project applies Visual Analytics technique to support sense making in intelligence analysis and I will be working with collaborators from BAE systems, MASS, and Cranfield university.
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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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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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VAST Challenge 2012 – Subject Matter Expert’s Award
This is an entry to the Mini Challenge 1 of the VAST Challenge 2012. The details are here. Below is a video describing the solution.
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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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2012-2013, Co-Investigator, Data Intensive Visual Analytics (DIVA), £220,000
This is jointly funded by the UK Research Council EPSRC (Engineering and Physical Sciences Research Council) and Defence Science and Technology Laboratory (dstl). Besides the Middlesex University, there are three other partners in the research consortium: City University (principle investigator), Loughborough University, and Defence Science and Technology Laboratory (dstl). The project aims to design and…
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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
Human-AI Collaboration 
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