ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets. - Kaiyuan Tang 001; Chaoli Wang 001 (PacificVis, 2024)

STSR-INR: Spatiotemporal super-resolution for multivariate time-varying volumetric data via implicit neural representation. - Kaiyuan Tang 001; Chaoli Wang 001 (Comput. Graph., 2024)

Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation. - Maizhe Yang; Kaiyuan Tang 001; Chaoli Wang 001 (PacificVis, 2025)

StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization. - Kaiyuan Tang 001; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2025)

iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting. - Kaiyuan Tang 001; Siyuan Yao; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2025)

NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting. - Kuangshi Ai; Kaiyuan Tang 001; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2026)

MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression. - Jun Han 010; Kaiyuan Tang 001; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2026)

TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting. - Kaiyuan Tang 001; Kuangshi Ai; Jun Han 010; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2026)

SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation. - Zixuan Pan; Kaiyuan Tang 001; Jun Xia 003; Yifan Qin; Lin Gu; Chaoli Wang 001; Jianxu Chen 001; Yiyu Shi 001 (CoRR, 2026)

SVLAT: Scientific Visualization Literacy Assessment Test. - Patrick Phuoc Do; Kaiyuan Tang 001; Kuangshi Ai; Chaoli Wang 001 (CoRR, 2026)

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents. - Kuangshi Ai; Haichao Miao; Kaiyuan Tang 001; Nathaniel Gorski; Jianxin Sun 001; Guoxi Liu; Helgi I. Ingólfsson; David Lenz 002; Hanqi Guo 001; Hongfeng Yu 001; Teja Leburu; Michael Molash; et al. (CoRR, 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 001; Chaoli Wang 001; Peer-Timo Bremer; Shusen Liu 001 (CoRR, 2026)