Songwen Hu
Visualization Lab @ GT , Atlanta | Georgia | USA
Shot on Nikon Z30 📸
I’m a fourth-year CS Ph.D. student at Georgia Tech, advised by Dr. Cindy Xiong Bearfield. Prior to joining Georgia Tech, I worked with Dr. Shuai Li at Shanghai Jiao Tong University.
My research interest focuses on understanding reasoning process on data visualization by modeling behavior, physiological, and neuro signal, spanning from visualization animation and interaction, collaborative visualization systems, to visualization recommender systems. I explore how design choices impact perception in animated and interactive visualization, how AI assistants can enhance data collaboration with visualization systems, and how to recommend visualizations with minimal user interaction.
I also have experience with general recommender systems, deep learning, gesture recognition and reinforcement learning.
news
| Aug 15, 2026 | Paper accepted to a VIS 2026 workshop 🥳 |
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| Aug 06, 2026 | Gave a talk at Georgetown University 🎙️ |
| Jul 30, 2026 | Taught CS4460 at Georgia Tech 👨🏫 |
| May 16, 2026 | Presented at VSS 2026 🎙️ |
| Dec 16, 2025 | Received CoCo funding 💵 |
| Aug 01, 2025 | Present poster at CogSci 2025 📃 |
selected publications
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Interaction Modulates Visual Interpretation and Trust in Uncertainty VisualizationsOral PosterIn Vision Sciences Society (VSS) , 2026 -
Visual Embellishments are Potential Distractions in Double-Column ReadingOralIn IEEE VIS , 2026To be presented at VIS 2026, VISxVISION workshop -
VisChatter: Enhance Synchronous Collaboration on Visualization Dashboard through Visual AnnotationsOral PosterIn Proceedings of the Annual Meeting of the Cognitive Science Society 2025 , 2025 -
Interactive Visualization Recommendation with Hier-SUCBPaper Oral PosterIn Proceedings of the ACM on Web Conference 2025 , 2025 -
Motion-based visual encoding can improve performance on perceptual tasks with dynamic time seriesPaper Oral PosterIEEE Transactions on Visualization and Computer Graphics, 2024 -
Hierarchical conversational preference elicitation with bandit feedbackPaper OralIn Proceedings of the 31st ACM International Conference on Information & Knowledge Management , 2022