Hello! I am Liwenhan Xie (Shelly), a PhD candidate from Hong Kong University of Science and Technology advised by Prof. Huamin Qu.
My research probes the intersection of information visualization, human-computer interaction, and software engineering, viewing visualization authoring a practice of end-user programming. I conduct both empirical studies and design studies to empower people to create expressive and affective visualizations.
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.