Kuangshi Ai

According to our database, Kuangshi Ai authored at least 10 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks.

Haichao Miao, Zhimin Li, Kuangshi Ai, Kaiyuan Tang, Chaoli Wang, Peer-Timo Bremer, Shusen Liu

CoRR, May, 2026

Exploring Interaction Paradigms for LLM Agents in Scientific Visualization.

Jackson Vonderhorst, Kuangshi Ai, Haichao Miao, Shusen Liu, Chaoli Wang

CoRR, April, 2026

Leveraging Multimodal LLMs for Built Environment and Housing Attribute Assessment from Street-View Imagery.

Siyuan Yao, Siavash Ghorbany, Kuangshi Ai, Arnav Cherukuthota, Meghan Forstchen, Alexis Korotasz, Matthew L. Sisk, Ming Hu, Chaoli Wang

CoRR, April, 2026

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents.

Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Nathaniel Gorski, Jianxin Sun, Guoxi Liu, Helgi I. Ingólfsson, David Lenz, Hanqi Guo, Hongfeng Yu, Teja Leburu, Michael Molash, Bei Wang, Tom Peterka, Chaoli Wang, Shusen Liu

CoRR, March, 2026

SVLAT: Scientific Visualization Literacy Assessment Test.

Patrick Phuoc Do, Kaiyuan Tang, Kuangshi Ai, Chaoli Wang

CoRR, March, 2026

TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting.

Kaiyuan Tang, Kuangshi Ai, Jun Han, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., January, 2026

NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting.

Kuangshi Ai, Kaiyuan Tang, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., January, 2026

2025

KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance.

Kuangshi Ai, Jonathan A. Karr Jr., Meng Jiang, Nitesh V. Chawla, Chaoli Wang

CoRR, October, 2025

An Evaluation-Centric Paradigm for Scientific Visualization Agents.

Kuangshi Ai, Haichao Miao, Zhimin Li, Chaoli Wang, Shusen Liu

CoRR, September, 2025

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning.

Simret Araya Gebreegziabher, Kuangshi Ai, Zheng Zhang, Elena L. Glassman, Toby Jia-Jun Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025