Scholar
Kaiyuan Tang
Google Scholar ID: M8M1ZwkAAAAJ
Computer Science and Engineering, University of Notre Dame
Citations & Impact
Citations
56
H-index
4
i10-index
2
Publications
8
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting
- - MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression
- - NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
- - iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting
- - Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
- - StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization
- - ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets
- - STSR-INR: Spatiotemporal Super-Resolution for Multivariate Time-Varying Volumetric Data via Implicit Neural Representation
- Awards:
- - NLI4VolVis selected as Best Paper Award for IEEE VIS 2025
Research Experience
- Works in the ND-VIS research group, focusing on research in scientific visualization, computer graphics, and machine learning.
Education
- Ph.D. student in the Department of Computer Science and Engineering at the University of Notre Dame, supervised by Prof. Chaoli Wang; obtained B.S. degree from Xidian University in 2022.
Background
- Research interests lie at the intersection of scientific visualization, computer graphics, and machine learning, including volumetric data generation and compression, as well as 3D scene representation and editing. Recently, he has become especially interested in emerging techniques in 3D vision, such as foundation models and MLLMs, and believes exploring their potential applications in scientific visualization is a fascinating direction.
Miscellany
- Personal interest: Despite having published several papers during his Ph.D., due to visa issues and some unexpected circumstances, he has never attended any academic conference in person. On one hand, he genuinely hopes to have the chance to meet and connect with people face-to-face soon, but on the other hand, he can’t help but feel a strange kind of excitement about keeping this “record” going.
