Zipeng Liu is a PhD student in the Department of Computer Science, University of British Columbia (UBC), working with Prof. Tamara Munzner in the InfoVis group. His research focuses on information visualization and visual analytics. Prior to UBC, he received his Bachelor's degree from the Department of Computer Science, EECS, Peking University (PKU) in 2015. He was a research assistant in the Visualization and Visual Computing Lab during his undergraduate study in PKU.
In general, I am interested in many topics in information visualization and visual analytics. In terms of the type of research, I like techniques such as proposing new visual encodings, design study and applications such as developing targeted tools for domain experts, systems such as visualization authoring tools. Recently, I am also interested in the interaction between machine learning and visualization. I believe there are many great opportunities to interpret, explain machine learning models with visualization, use machine learning methods to improve visualization techniques, or engage users in the process of developing, tuning and applying models (in contrast to an end-to-end approach). In terms of the type of data, I have worked on text, multidimensional tabular data, trees, event sequences, graph layouts and etc.