Dr Zhang received her Ph.D. from Brunel University, UK, under the supervision of Professor Xiaohui Liu. The title of her PhD thesis is Interactive Visualization for the Dynamic Modelling of Time Series Gene Expression Data.
Chinese (native), English, German (basic)
Learning & Teaching Interests
Most recently involved in the teaching of the following modules:
CSD1200: Information In Organisations
CSD4030: Interaction and Visualization
BIS3214: Data Warehouse and Business Intelligence
Most recently involved in the supervision of the following modules:
BIS4992: Postgraduate Computing Project
BIS3322: Information Systems Project
CMT3333: Software Development Project
CMT4141: Research Project (Individual)
Research Outputs & Interests
A major theme Dr. Zhang's research is to develop data analysis and visualization techniques for extracting and visualizing patterns and relations in large complex data. There are three main strands to Dr. Zhang’s research: visual analytics on different application data, visualizing complex set relations and interactive visual projection techniques for analyzing patterns in high-dimensional data.
Xu, Kai and Zhang, Leishi and Pérez, Daniel and Nguyen, Phong H. and Ogilvie-Smith, Adam (2017) Evaluating interactive visualization of multidimensional data projection with feature transformation. Multimodal Technologies and Interaction, 1 (3). ISSN 2414-4088
Nachmanson, Lev and Nocaj, Arlind and Bereg, Sergey and Zhang, Leishi and Holroyd, Alexander (2017) Node overlap removal by growing a tree. Journal of Graph Algorithms and Applications . (Accepted/In press)
Sacha, Dominik and Jentner, Wolfgang and Zhang, Leishi and Stoffel, Florian and Ellis, Geoffrey (2017) Visual comparative case analytics. In: EuroVis Workshop on Visual Analytics, 12-13 June 2017, Barcelona, Spain. (Accepted/In press)
Sacha, Dominik and Sedlmair, Michael and Zhang, Leishi and Lee, John A. and Peltonen, Jaakko and Weiskopf, Daniel and North, Stephen C. and Keim, Daniel A. (2017) What you see is what you can change: human-centred machine learning by interactive visualization. Neurocomputing . ISSN 0925-2312 (Published online first)
Zhang, Leishi and Rooney, Chris and Nachmanson, Lev and Wong, B. L. William and Kwon, Bum Chul and Stoffel, Florian and Hund, Michael and Qazi, Nadeem (2016) Spherical similarity explorer for comparative case analysis. In: IS&T Electronic Imaging 2016 Conference on Visualization and Data Analysis 2016, 16-18 Feb 2016, San Francisco, CA, USA.