Hello! I am Liwenhan Xie (Shelly), a PhD student 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.

I have been working in PKU VIS Group, Visual+Interative data, and Aviz Group.

Latest ----------------------
🍻 One coauthored paper LQ2 is conditionally accepted in CHI.
📧 My PKU email will no longer be used. Contact me through the new one :)
🎈 Received my Bachelor of Science from Peking University.
👩‍💻 Will start my PhD study in HKUST and work with Prof. Qu again!
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

Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison.
Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu. CHI, 2021. (Conditionally Accepted)
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)