Kuangshi Ai
Scholar

Kuangshi Ai

Google Scholar ID: PBtq130AAAAJ
University of Notre Dame
Scientific VisualizationHuman-Computer InteractionNatural Language Processing
Citations & Impact
All-time
Citations
7
 
H-index
2
 
i10-index
0
 
Publications
4
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Recipient of the IEEE VIS 2025 Best Paper Award for 'NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting'; two papers accepted to IEEE VIS 2025, one paper accepted to ACL 2025 findings.
Research Experience
  • Works in the ND-VIS Lab, focusing on exploring multi-modal LLM agents for agentic visualization of 3D/4D scientific data through the MCP framework.
Education
  • Ph.D. student in Computer Science and Engineering at the University of Notre Dame, working with Prof. Chaoli Wang; Bachelor's degree in Artificial Intelligence from Fudan University, graduated in July 2024, spent a semester as an exchange student at the University of Sydney, and conducted summer research with Prof. Toby Li at Notre Dame.
Background
  • Research interests lie at the intersection of scientific visualization, human-computer interaction, and natural language processing. Currently, focusing on leveraging large language models to make the complex process of scientific visualization more intuitive and accessible.
Miscellany
  • Feel free to reach out via email for collaboration or further discussion.