Dr Kai Xu
| Name | Dr Kai Xu |
|---|---|
| Job title | Associate Professor in Data Analytics |
| Research institute | |
| Primary appointment | Computer Science |
| Contact category | Academic staff (past) |
Research outputs
Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings
Liu, X., Barth, K., Windridge, D. and Xu, K. 2024. Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings. 52nd Photovoltaic Specialist Conference. Seattle, WA, USA 09 - 14 Jun 2024 IEEE. pp. 0281-0283 https://doi.org/10.1109/pvsc57443.2024.10749288Visual analytics of contact tracing policy simulations during an emergency response
Sondag, M., Turkay, C., Xu, K., Matthews, L., Mohr, S. and Archambault, D. 2022. Visual analytics of contact tracing policy simulations during an emergency response. Computer Graphics Forum. 41 (3), pp. 29-41. https://doi.org/10.1111/cgf.14520RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses
Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J., Ritsos, P., Slingsby, A., Torsney-Weir, T., Turkay, C., Bach, B., Borgo, R., Brett, A., Fang, H., Jianu, R., Khan, S., Laramee, R., Matthews, L., Nguyen, P., Reeve, R., Roberts, J., Vidal, F., Wang, Q., Wood, J. and Xu, K. 2022. RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses. Epidemics. 39. https://doi.org/10.1016/j.epidem.2022.100569Survey on the analysis of user interactions and visualization provenance
Xu, K., Ottley, A., Walchshofer, C., Streit, M., Chang, R. and Wenskovitch, J. 2020. Survey on the analysis of user interactions and visualization provenance. Computer Graphics Forum. 39 (3), pp. 757-783. https://doi.org/10.1111/cgf.14035Putting the "I" in Interaction: interactive interfaces personalized to the individual
Wenskovitch, J., Zhou, M., Collins, C., Chang, R., Dowling, M., Endert, A. and Xu, K. 2020. Putting the "I" in Interaction: interactive interfaces personalized to the individual. IEEE Computer Graphics and Applications. 40 (3), pp. 73-82. https://doi.org/10.1109/MCG.2020.2982465TimeSets: temporal sensemaking in intelligence analysis
Xu, K., Salisu, S., Nguyen, P., Walker, R., Wong, B., Wagstaff, A., Phillips, G. and Biggs, M. 2020. TimeSets: temporal sensemaking in intelligence analysis. IEEE Computer Graphics and Applications. 40 (3), pp. 83-93. https://doi.org/10.1109/MCG.2020.2981855Provenance analysis for sensemaking. IEEE Computer Graphics and Applications, 39 (6) . pp. 27-29. ISSN 0272-1716
Fekete, J., Jankun-Kelly, T., Tory, M. and Xu, K. 2019. Provenance analysis for sensemaking. IEEE Computer Graphics and Applications, 39 (6) . pp. 27-29. ISSN 0272-1716. IEEE.An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning
Attfield, S., Fields, B., Windridge, D. and Xu, K. 2019. An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning. Conrad, J., Pickens, J., Jones, A., Baron, J. and Henseler, H. (ed.) First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019).. Montreal, Canada 17 Jun 2019 CEUR Workshop Proceedings. pp. 7-11Provenance and logging for sense making
Fekete, J., Jankun-Kelly, T., Tory, M. and Xu, K. 2019. Provenance and logging for sense making. Dagstuhl Reports. 8 (11), pp. 35-62. https://doi.org/10.4230/DagRep.8.11.35Uncertainty of visualizations for SenseMaking in criminal intelligence analysis
Islam, J., Xu, K. and Wong, B. 2018. Uncertainty of visualizations for SenseMaking in criminal intelligence analysis. EuroRV3: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (2018). Brno, Czech Republic 04 - 08 Jun 2018 Eurographics Association. pp. 25-29 https://doi.org/10.2312/eurorv3.20181145Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis
Islam, J., Wong, B. and Xu, K. 2018. Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis. in: Leventakis, G. and Haberfeld, M. (ed.) Community-Oriented Policing and Technological Innovations Springer. pp. 95-105Analytic provenance for criminal intelligence analysis
Islam, J., Xu, K. and Wong, B. 2018. Analytic provenance for criminal intelligence analysis. Chinese Journal of Network and Information Security. 4 (2), pp. 18-33. https://doi.org/10.11959/j.issn.2096-109x.2018016Evaluating interactive visualization of multidimensional data projection with feature transformation
Xu, K., Zhang, L., Pérez, D., Nguyen, P. and Ogilvie-Smith, A. 2017. Evaluating interactive visualization of multidimensional data projection with feature transformation. Multimodal Technologies and Interaction. 1 (3). https://doi.org/10.3390/mti1030013Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines
Attfield, S., Hewitt, D., Xu, K., Passmore, P., Wagstaff, A., Phillips, G., Windridge, D., Dash, G., Chapman, R. and Mason, L. 2016. Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines. IEEE VAST Challenge 2016. Baltimore, MD, USA 23 Oct 2016Interaction log and provenance for sensemaking
Nguyen, P., Xu, K. and Wong, B. 2016. Interaction log and provenance for sensemaking. LIVVIL: Logging Interactive Visualizations & Visualizing Interaction Logs. Baltimore, MD, USA 23 Oct 2016 pp. 5-8SenseMap: supporting browser-based online sensemaking through analytic provenance
Nguyen, P., Xu, K., Bardill, A., Salman, B., Herd, K. and Wong, B. 2016. SenseMap: supporting browser-based online sensemaking through analytic provenance. VIS 2016: IEEE Visualization Conference. Baltimore, Maryland, USA 23 - 28 Oct 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 91-100 https://doi.org/10.1109/vast.2016.7883515TimeSets for uncertainty visualisation
Salisu, S., Xu, K., Wagstaff, A., Biggs, M. and Phillips, G. 2016. TimeSets for uncertainty visualisation. EG UK Computer Graphics & Visual Computing 2016. Bournemouth, United Kingdom 15 - 16 Sep 2016 The Eurographics Association. https://doi.org/10.2312/cgvc.20161291Towards analytical provenance visualization for criminal intelligence analysis
Islam, J., Anslow, C., Xu, K., Wong, B. and Zhang, L. 2016. Towards analytical provenance visualization for criminal intelligence analysis. Computer Graphics & Visual Computing (CGVC) 2016. Bournemouth University, United Kingdom 15 - 16 Sep 2016 The Eurographics Association. pp. 17-24 https://doi.org/10.2312/cgvc.20161290TimeSets: timeline visualization with set relations
Nguyen, P., Xu, K., Walker, R. and Wong, B. 2016. TimeSets: timeline visualization with set relations. Information Visualization. 15 (3), pp. 253-269. https://doi.org/10.1177/1473871615605347TimeSets: timeline visualization for sensemaking
Nguyen, P., Xu, K., Walker, R. and Wong, B. 2014. TimeSets: timeline visualization for sensemaking. IEEE VIS Workshop on Provenance for Sensemaking. Paris, France 10 Nov 2014SensePath: understanding the sensemaking process through analytic provenance
Nguyen, P., Xu, K., Wheat, A., Wong, B., Attfield, S. and Fields, B. 2016. SensePath: understanding the sensemaking process through analytic provenance. IEEE Transactions on Visualization and Computer Graphics. 22 (1), pp. 41-50. https://doi.org/10.1109/TVCG.2015.2467611Analytic provenance for sensemaking: a research agenda
Xu, K., Attfield, S., Jankun-Kelly, T., Wheat, A., Nguyen, P. and Selvaraj, N. 2015. Analytic provenance for sensemaking: a research agenda. IEEE Computer Graphics and Applications. 35 (3), pp. 56-64. https://doi.org/10.1109/MCG.2015.50Proceedings of the international workshop on visualizations and user interfaces for knowledge engineering and linked data analytics
Ivanova, V., Kauppinen, T., Lohmann, S., Mazumdar, S., Pesquita, C. and Xu, K. (ed.) 2014. Proceedings of the international workshop on visualizations and user interfaces for knowledge engineering and linked data analytics. CEUR Workshop Proceedings.Proceedings of the IEEE VIS workshop on provenance for sensemaking 2014
Xu, K., Attfield, S. and Jankun-Kelly, T. (ed.) 2014. Proceedings of the IEEE VIS workshop on provenance for sensemaking 2014.Visual analysis of streaming data with SAVI and SenseMAP
Xu, K., Nguyen, P. and Fields, B. 2014. Visual analysis of streaming data with SAVI and SenseMAP. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST). Paris, France 25 - 31 Oct 2014 pp. 389-390 https://doi.org/https://doi.org/10.1109/vast.2014.7042580POLAR - an interactive patterns of life visualisation tool for intelligence analysis
Kodagoda, N., Attfield, S., Nguyen, P., Zhang, L., Xu, K., Wong, B., Wagstaff, A., Phillips, G., Bulloch, J., Marshall, J. and Bertram, S. 2014. POLAR - an interactive patterns of life visualisation tool for intelligence analysis. IEEE Joint Conference on Intelligence and Security Informatics Conference. The Hague, Netherlands Institute of Electrical and Electronics Engineers. pp. 327SchemaLine: timeline visualization for sensemaking
Nguyen, P., Xu, K., Walker, R. and Wong, B. 2014. SchemaLine: timeline visualization for sensemaking. 18th International Conference on Information Visualisation (IV). pp. 225-233Scalability considerations for multivariate graph visualization
Jankun-Kelly, T., Dwyer, T., Holten, D., Hurter, C., Nollenburg, M., Weaver, C. and Xu, K. 2014. Scalability considerations for multivariate graph visualization. in: Kerren, A., Purchase, H. and Ward, M. (ed.) Multivariate Network Visualization: Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions Springer International Publishing.An extensible framework for provenance in human terrain visual analytics
Walker, R., Slingsby, A., Dykes, J., Xu, K., Wood, J., Nguyen, P., Stephens, D., Wong, B. and Zheng, Y. 2013. An extensible framework for provenance in human terrain visual analytics. IEEE Transactions on Visualization and Computer Graphics. 19 (12), pp. 2139-2148. https://doi.org/10.1109/TVCG.2013.132Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness
Kodagoda, N., Attfield, S., Choudhury, S., Rooney, C., Mapp, G., Nguyen, P., Slabbert, L., Wong, B., Aiash, M., Zheng, Y., Xu, K. and Lasebae, A. 2014. Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness. Information Visualization. 13 (4), pp. 346-360. https://doi.org/10.1177/1473871613490291A user study on curved edges in graph visualization
Xu, K., Rooney, C., Passmore, P., Ham, D. and Nguyen, P. 2012. A user study on curved edges in graph visualization. IEEE Transactions on Visualization and Computer Graphics. 18 (12), pp. 2449 -2456. https://doi.org/10.1109/TVCG.2012.189M-Sieve: a visualisation tool for supporting network security analysts
Choudhury, S., Kodagoda, N., Nguyen, P., Rooney, C., Attfield, S., Xu, K., Zheng, Y., Wong, B., Chen, R., Mapp, G., Slabbert, L., Aiash, M. and Lasebae, A. 2012. M-Sieve: a visualisation tool for supporting network security analysts. VisWeek 2012. Seattle, WA, USA 14 - 19 Oct 2012Biological network visualisation.
Xu, K. 2012. Biological network visualisation. 3rd Annual Visualizing Biological Data Conference (VizBi2012). Heidelberg, Germany 06 - 08 Mar 2012Provenance for intelligence analysis using visual analytics.
Wong, B., Xu, K. and Attfield, S. 2011. Provenance for intelligence analysis using visual analytics. CHI 2011: Workshop on Analytic Provenance. Vancouver, BC, Canada 07 - 08 May 2011INVISQUE: Intuitive information exploration through interactive visualization
Wong, B., Chen, R., Kodagoda, N., Rooney, C. and Xu, K. 2011. INVISQUE: Intuitive information exploration through interactive visualization. The ACM CHI Conference on Human Factors in Computing Systems. Vancouver, BC, Canada 07 - 12 May 2011A knowledge discovery service system for provenance exploration
Liu, Q., Zhang, J., James, F., Xu, K. and Dinesh, N. 2011. A knowledge discovery service system for provenance exploration. International Conference on Data and Knowledge Engineering (ICDKE) 2011. Milan, Italy 06 - 08 Sep 2011Visualisation and analysis of the complexome network of Saccharomyces cerevisiae.
Li, S., Xu, K. and Wilkins, M. 2011. Visualisation and analysis of the complexome network of Saccharomyces cerevisiae. Journal of Proteome Research. 10 (10), pp. 4744-4756. https://doi.org/10.1021/pr200548cInteractive visualization for information analysis in medical diagnosis
Wong, B., Xu, K. and Holzinger, A. 2011. Interactive visualization for information analysis in medical diagnosis. Workshop on Human-Computer Interaction & Knowledge Discovery and Data Mining (HCI-KDD). Graz, Austria 24 Nov 2011Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds
Choudhury, S., Brierley, C., Rooney, C., Xu, K., Chen, R., Wong, B. and Atwell, E. 2011. Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds. IEEE VAST Challenge 2011. Providence, Rhode Island, USA 23 - 28 Oct 2011INVISQUE: Technology and methodologies for interactive information visualization and analytics in large library collections
Wong, B., Choudhury, S., Rooney, C., Chen, R. and Xu, K. 2011. INVISQUE: Technology and methodologies for interactive information visualization and analytics in large library collections. Gradmann, S., Borri, F., Meghini, C. and Schuldt, H. (ed.) Springer.Visualisation of the complexome.
Li, S., Xu, K. and Wilkins, M. 2010. Visualisation of the complexome. Human Proteome Organisation 9th Annual World Congress. Sydney Convention and Exhibition centreGenetic sequences: tracing the mutations of a disease.
Mitchell, I., Passmore, P. and Xu, K. 2010. Genetic sequences: tracing the mutations of a disease. IEEE VAST Symposium 2010 Challenge. Salt Lake City, Utah, USA 24 - 29 Oct 2010Hospitalization records: characterization of pandemic spread.
Passmore, P., Zheng, Y., Rooney, C., Al-Sheikh, T. and Xu, K. 2010. Hospitalization records: characterization of pandemic spread. IEEE VAST Symposium 2010 Challenge. Salt Lake City, Utah, USA 24 - 29 Oct 2010Visualization and analysis of the complexome network of saccharomyces cerevisiae
Li, S., Xu, K. and Wilkins, M. 2011. Visualization and analysis of the complexome network of saccharomyces cerevisiae. Journal of Proteome Research. 10 (10), pp. 4744-4756. https://doi.org/10.1021/pr200548cWeb service management system for bioinformatics research: a case study.
Xu, K., Yu, Q., Liu, Q., Zhang, J. and Bouguettaya, A. 2011. Web service management system for bioinformatics research: a case study. Service Oriented Computing and Applications. 5 (1), pp. 1-15. https://doi.org/10.1007/s11761-011-0076-9Semi-bipartite graph visualization for gene ontology networks
Xu, K., Williams, R., Hong, S., Liu, Q. and Zhang, J. 2010. Semi-bipartite graph visualization for gene ontology networks. in: Graph drawing : 17th International Symposium (GD 2009) Revised Papers Springer.Seeing more than the graph: evaluation of multivariategraph visualization methods.
Cunningham, A., Xu, K. and Thomas, B. 2010. Seeing more than the graph: evaluation of multivariategraph visualization methods. Santucci, G. (ed.) Association for Computing Machinery (ACM). pp. 429 https://doi.org/10.1145/1842993.1843106Gene specific co-regulation discovery: an improved approach
Zhang, J., Liu, Q. and Xu, K. 2009. Gene specific co-regulation discovery: an improved approach. in: Allen, G., Nabrzyski, J., Seidel, E. and Albada, G. (ed.) Computational Science – ICCS 2009 : 9th International Conference Baton Rouge, LA, USA, May 25-27, 2009 Proceedings, Part I Berlin Springer.A multi-resolution surface distance model for k-NN query processing
Deng, K., Zhou, X., Shen, H., Liu, Q., Xu, K. and Lin, X. 2008. A multi-resolution surface distance model for k-NN query processing. VLDB Journal. 17 (5), pp. 1101-1119. https://doi.org/10.1007/s00778-007-0053-299
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