Dr Leishi Zhang


NameDr Leishi Zhang
Job titleSenior Lecturer Computing Science/ Data Intensive Systems
Research institute
Primary appointmentComputer Science
ORCIDhttps://orcid.org/0000-0002-3158-2328
Contact categoryAcademic staff (past)

Research outputs

Automated identification of insight seeking behaviours, strategies and rules: a preliminary study

Hepenstal, S., Zhang, L. and Wong, B. 2021. Automated identification of insight seeking behaviours, strategies and rules: a preliminary study. SAGE Publications. https://doi.org/10.1177/1071181321651348

Developing conversational agents for use in criminal investigations

Hepenstal, S., Zhang, L., Kodagoda, N. and Wong, B. 2021. Developing conversational agents for use in criminal investigations. ACM Transactions on Interactive Intelligent Systems. 11 (3-4), pp. 1-35. https://doi.org/10.1145/3444369

Providing a foundation for interpretable autonomous agents through elicitation and modeling of criminal investigation pathways

Hepenstal, S., Zhang, L., Kodagoda, N. and Wong, B. 2020. Providing a foundation for interpretable autonomous agents through elicitation and modeling of criminal investigation pathways. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64 (1), pp. 239-243. https://doi.org/10.1177/1071181320641057

Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer

Gao, X., Braden, B., Zhang, L., Taylor, S., Pang, W. and Petridis, M. 2020. Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer. 24th UK Symposium on Case-Based Reasoning (UKCBR 2019). Cambridge, UK 17 Dec 2019 BCS SGAI: The Specialist Group on Artificial Intelligence. pp. 1-12

Pan: conversational agent for criminal investigations

Hepenstal, S., Zhang, L., Kodagoda, N. and Wong, B. 2020. Pan: conversational agent for criminal investigations. IUI '20: 25th International Conference on Intelligent User Interfaces. Cagliari, Italy 17 - 20 Mar 2020 Association for Computing Machinery (ACM). pp. 134-135 https://doi.org/10.1145/3379336.3381463

How analysts think: a preliminary study of human needs and demands for AI-based conversational agents

Hepenstal, S., Wong, B., Zhang, L. and Kodagoda, N. 2019. How analysts think: a preliminary study of human needs and demands for AI-based conversational agents. SAGE Publications. https://doi.org/10.1177/1071181319631333

Algorithmic transparency of conversational agents

Hepenstal, S., Kodagoda, N., Zhang, L., Paudyal, P. and Wong, B. 2019. Algorithmic transparency of conversational agents. Trattner, C., Parra, D. and Riche, N. (ed.) IUI 2019 Workshop on Intelligent User Interfaces for Algorithmic Transparency in Emerging Technologies. Los Angeles, CA, USA 17 - 20 Mar 2019 CEUR Workshop Proceedings.

Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool

Jentner, W., Sacha, D., Stoffel, F., Ellis, G., Zhang, L. and Keim, D. 2018. Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool. The Visual Computer. 34 (9), pp. 1225-1241. https://doi.org/10.1007/s00371-018-1483-0

Towards an instrument for measuring sensemaking and an assessment of its theoretical features

Alsufiani, K., Attfield, S. and Zhang, L. 2018. Towards an instrument for measuring sensemaking and an assessment of its theoretical features. 4th International Conference on Emerging Research Paradigms in Business and Social Sciences. Dubai, UAE 16 - 18 Jan 2018

Node overlap removal by growing a tree

Nachmanson, L., Nocaj, A., Bereg, S., Zhang, L. and Holroyd, A. 2017. Node overlap removal by growing a tree. Journal of Graph Algorithms and Applications. 21 (5), pp. 857-872. https://doi.org/10.7155/jgaa.00442

Evaluating 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/mti1030013

Towards an instrument for measuring sensemaking and an assessment of its theoretical features

Alsufiani, K., Attfield, S. and Zhang, L. 2017. Towards an instrument for measuring sensemaking and an assessment of its theoretical features. 31st International BCS Human Computer Interaction Conference (HCI 2017) - Digital Make-Believe. Sunderland, Tyne and Wear, UK. 03 - 06 Jul 2017 British Computer Society. pp. 1-5 https://doi.org/10.14236/ewic/HCI2017.86

Visual comparative case analytics

Sacha, D., Jentner, W., Zhang, L., Stoffel, F. and Ellis, G. 2017. Visual comparative case analytics. EuroVis Workshop on Visual Analytics. Barcelona, Spain 12 - 13 Jun 2017 The Eurographics Association. pp. 49-53 https://doi.org/10.2312/eurova.20171119

What you see is what you can change: Human-centred machine learning by interactive visualization

Sacha, D., Sedlmair, M., Zhang, L., Lee, J., Peltonen, J., Weiskopf, D., North, S. and Keim, D. 2017. What you see is what you can change: Human-centred machine learning by interactive visualization. Neurocomputing. 268, pp. 164-175. https://doi.org/10.1016/j.neucom.2017.01.105

Node overlap removal by growing a tree

Nachmanson, L., Nocaj, A., Bereg, S., Zhang, L. and Holroyd, A. 2016. Node overlap removal by growing a tree. GD16, 24th International Symposium on Graph Drawing & Network Visualization. Athens, Greece 19 - 21 Sep 2016 Springer. pp. 33-43 https://doi.org/10.1007/978-3-319-50106-2_3

Towards 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.20161290

Visual interaction with dimensionality reduction: a structured literature analysis

Sacha, D., Zhang, L., Sedlmair, M., Lee, J., Peltonen, J., Weiskopf, D., North, S. and Keim, D. 2017. Visual interaction with dimensionality reduction: a structured literature analysis. IEEE Transactions on Visualization and Computer Graphics. 23 (1), pp. 241-250. https://doi.org/10.1109/TVCG.2016.2598495

Human-centered machine learning through interactive visualization

Sacha, D., Sedlmair, M., Zhang, L., Lee, J., Weiskopf, D., North, S. and Keim, D. 2016. Human-centered machine learning through interactive visualization. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium 27 - 29 Apr 2016 ESANN. pp. 641-646

Spherical similarity explorer for comparative case analysis

Zhang, L., Rooney, C., Nachmanson, L., Wong, B., Kwon, B., Stoffel, F., Hund, M. and Qazi, N. 2016. Spherical similarity explorer for comparative case analysis. IS&T Electronic Imaging 2016 Conference on Visualization and Data Analysis 2016. San Francisco, CA, USA 16 - 18 Feb 2016 Society for Imaging Science and Technology. pp. 1-10 https://doi.org/10.2352/ISSN.2470-1173.2016.1.VDA-496

Interactive feature space extension for multidimensional data projection

Pérez, D., Zhang, L., Schaefer, M., Schreck, T., Keim, D. and Díaz, I. 2015. Interactive feature space extension for multidimensional data projection. Neurocomputing. 150 (Part B), pp. 611-626. https://doi.org/10.1016/j.neucom.2014.09.061

POLAR - 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. 327

VALCRI: addressing European needs for information exploitation of large complex data in criminal intelligence analysis

Wong, B., Zhang, L. and Shepherd, I. 2014. VALCRI: addressing European needs for information exploitation of large complex data in criminal intelligence analysis. European Data Forum 2014. Athens, Greece 19 - 20 Mar 2014

Wellformedness properties in Euler diagrams: which should be used?

Rodgers, P., Zhang, L. and Purchase, H. 2012. Wellformedness properties in Euler diagrams: which should be used? IEEE Transactions on Visualization and Computer Graphics. 18 (7), pp. 1089-1100. https://doi.org/10.1109/TVCG.2011.143

Drawing Euler diagrams with circles: the theory of piercings

Stapleton, G., Zhang, L., Howse, J. and Rodgers, P. 2011. Drawing Euler diagrams with circles: the theory of piercings. IEEE Transactions on Visualization and Computer Graphics. 17 (7), pp. 1020-1032. https://doi.org/10.1109/TVCG.2010.119

Inductively generating Euler diagrams

Stapleton, G., Rodgers, P., Howse, J. and Zhang, L. 2011. Inductively generating Euler diagrams. IEEE Transactions on Visualization and Computer Graphics. 17 (1), pp. 88-100. https://doi.org/10.1109/TVCG.2010.28

Euler graph transformations for Euler diagram layout

Rodgers, P., Stapleton, G., Howse, J. and Zhang, L. 2010. Euler graph transformations for Euler diagram layout. in: 2010 IEEE Symposium on Visual Languages and Human-Centric Computing Institute of Electrical and Electronics Engineers (IEEE). pp. 111-118
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