Hello! I am Liwenhan Xie (Shelly), a PhD candidate from Hong Kong University of Science and Technology advised by Prof. Huamin Qu.
My research interest lies in non-tabular data visualization, especially for dynamic graphs and text. I design new representations or pipelines to accelerate data understanding. And I am concerned about general visualization pipelines.
MeasureFlow presents series of graph measures and offers an overview for dynamic networks, to facilitates explorations. It is an extension of Vistorian.
I co-authored AutoCaption with Can Liu. We designed and trained deep learning models to generate short descriptions for SVG-formatted charts automatically.
PIMA is a new visualization for dynamic networks. It encodes group features onto a sequence of matrices with pixel technique and supports interations in a top-down manner.