Tag: Xinhuan

ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts

Zhu, J., Cheng, X., Luo, Z., Zhou, Y., Shu, X., Weng, D., & Wu, Y. (2025). ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts. Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 1–16. https://doi.org/10.1145/3746059.3747689

DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models

Xie, L., Lin, Y., Liu, C., Qu, H., & Shu, X. (2025). DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models. IEEE Transactions on Visualization and Computer Graphics, 1–11. https://doi.org/10.1109/TVCG.2025.3634635

One paper won CHI’25 Best Paper Award

One of Nova’s group member, Xinhuan’s co-authored paper “RouteFlow: Trajectory-aware animated transitions” received the Best Paper Award in CHI 2025 (50 of 5,014 submissions, top 1% )!

This paper proposes a new animation method that balances the clarity of global movement trends and local hotspots using a novel bus-route analogy for animated transitions. Paper link: https://www.arxiv.org/abs/2502.08076.

Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations

Shu, X., Pister, A., Tang, J., Chevalier, F., & Bach, B. (2024). Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://arxiv.org/pdf/2408.01272 🏆 Best Paper at IEEE VIS 2024

Visualization atlases: Explaining and exploring complex topics through data, visualization, and narration

Wang, J., Shu, X., Bach, B., & Hinrichs, U. (2024). Visualization atlases: Explaining and exploring complex topics through data, visualization, and narration. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://arxiv.org/pdf/2408.07483.

Ferry: Toward Better Understanding of Input/Output Space for Data Wrangling Scripts

Zhongsu Luo, Kai Xiong, Jiajun Zhu, Ran Chen, Xinhuan Shu, Di Weng, Yingcai Wu (2024). Ferry: Toward Better Understanding of Input/Output Space for Data Wrangling Scripts. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://ieeexplore.ieee.org/document/10670464.

Table Illustrator: Puzzle-based interactive authoring of plain tables

Yanwei Huang, Yurun Yang, Xinhuan Shu, Ran Chen, Di Weng, and Yingcai Wu. 2024. Table Illustrator: Puzzle-based interactive authoring of plain tables. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24). https://doi.org/10.1145/3613904.3642415