Kuangshi (Leo) Ai

Department of Computer Science and Engineering, University of Notre Dame

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247 Fitzpatrick Hall

Notre Dame, IN 46556

Hi there👋! I’m Kuangshi Ai, a second-year Ph.D. student in Computer Science and Engineering at the University of Notre Dame, where I work with Prof. Chaoli Wang in the ND-VIS Lab. I received my bachelor’s degree in Artificial Intelligence from Fudan University in July 2024. During undergrad, I spent a semester as an exchange student at the University of Sydney and conducted summer research with Prof. Toby Li at Notre Dame.

My research interests lie at the intersection of scientific visualization, human-computer interaction, and natural language processing. Currently, I focus on leveraging large language models (LLMs) to make the complex, expert-oriented process of scientific visualization more intuitive and accessible to broader audiences. My research also explores multi-modal LLM agents for agentic visualization of 3D/4D scientific data through the MCP framework.

If you’re interested in my work or would like to collaborate, feel free to reach out at kai[at]nd[dot]edu.

news

Aug 03, 2025 🏆 IEEE VIS 2025 Best Paper Award! My first first-author paper “NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting” has been selected as one of only 5 Best Papers out of 537 submissions!
Jul 15, 2025 Two papers were accepted by IEEE VIS 2025! This marks my first first-author paper during my Ph.D.! 🎉
May 16, 2025 One paper was accepted by ACL 2025 findings!
Aug 15, 2024 Excited to start my Ph.D. at the University of Notre Dame.
Jul 01, 2024 Graduated from Fudan University as an Outstanding Graduate.

selected publications

  1. IEEE VIS 2025
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    🏆 Best Paper VIS 2025 NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
    Kuangshi Ai, Kaiyuan Tang, and Chaoli Wang
    In Proceedings of IEEE Transactions on Visualization and Computer Graphics (IEEE VIS), 2025
  2. IEEE VIS 2025
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    TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting
    Kaiyuan Tang, Kuangshi Ai, Jun Han, and Chaoli Wang
    In Proceedings of IEEE Transactions on Visualization and Computer Graphics (IEEE VIS), 2025
  3. ACL Findings
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    Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
    Simret Araya Gebreegziabher, Kuangshi Ai, Zheng Zhang, Elena L. Glassman, and Toby Jia-Jun Li
    In Proceedings of Findings of the Association for Computational Linguistics: ACL, 2025