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.

I have been working in PKU VIS Group, VisHub, and Aviz Group.

Latest ----------------------
🐱 Will be a volunteer in CHI. See you in Hamburg!
📸 One coauthored paper GeoCamera is conditionally accepted in CHI.
🙋‍ I passed the PhD qualification exam.
🍻 One coauthored paper LQ2 is conditionally accepted in CHI.
Liwenhan Xie

Selected Projects

Measure Flow

MeasureFlow presents series of graph measures and offers an overview for dynamic networks, to facilitates explorations. It is an extension of Vistorian.

Paper Demo Code Talk
Auto-Caption

I co-authored AutoCaption with Can Liu. We designed and trained deep learning models to generate short descriptions for SVG-formatted charts automatically.

Paper Poster Video
Pixel Matrix Array

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.

Poster Video

Publications

GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements.
Wenchao Li, Zhan Wang, Yun Wang, Di Weng, Liwenhan Xie, Siming Chen, Haidong Zhang, Huamin Qu. CHI, 2023.
Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison.
Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu. CHI, 2021.
Interative Time-Series of Measures for Exploring Dynamic Networks.
Liwenhan Xie, James O'Donnell, Benjamin Bach, Jean-Daniel Fekete. AVI, 2020.
Honorable Mention Award
AutoCaption: An Approach to Generate Natural Language Description from Visualization Automatically.
Can Liu, Liwenhan Xie, Yun Han, Datong Wei, Xiaoru Yuan. PacificVis, 2020. (Short Paper)