Publications

You can also find my articles on Google Scholar.

* indicates equal contribution; underlined names denote undergraduate students.

2027

  1. Publication preview: EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database
    VIS 2026

    EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database

    Kaiyuan Tang, Maizhe Yang, and Chaoli Wang
    IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2026), 33(1), Jan 2027.
  2. Publication preview: ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization
    VIS 2026

    ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization

    Kaiyuan Tang and Chaoli Wang
    IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2026), 33(1), Jan 2027.
  3. Publication preview: SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents
    VIS 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, and Shusen Liu
    IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2026), 33(1), Jan 2027.
  4. Publication preview: Super-Gaussian: Interactive Scene Editing for 3D Gaussian Splatting and NLI-Based Volume Visualization in Virtual Reality
    VIS 2026

    Super-Gaussian: Interactive Scene Editing for 3D Gaussian Splatting and NLI-Based Volume Visualization in Virtual Reality

    Suemin Jeon, Kaiyuan Tang, Chaoli Wang, and Won-Ki Jeong
    IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2026), 33(1), Jan 2027.

2026

  1. Publication preview: CoBranchMR: Supporting Parallel Design and Conflict Resolution in Mixed Reality
    CSCW Demo 2026

    CoBranchMR: Supporting Parallel Design and Conflict Resolution in Mixed Reality

    Niloofar Sayadi, Kaiyuan Tang, Yunhao Xing, Simret Gebreegziabher, Chaoli Wang, and Diego Gómez-Zará
    In Proceedings of ACM Conference on Computer-Supported Cooperative Work and Social Computing (Demonstrations), Salt Lake City, UT, Oct 2026.
  2. Publication preview: TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting
    VIS 2025

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

    Kaiyuan Tang, Kuangshi Ai, Jun Han, and Chaoli Wang
    IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2025), 32(1):933-943, Jan 2026.
  3. Publication preview: MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression
    VIS 2025

    MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression

    Jun Han, Kaiyuan Tang, and Chaoli Wang
    IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2025), 32(1):254-264, Jan 2026.
  4. Publication preview: NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
    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
    IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2025), 32(1):46-56, Jan 2026. [Best Paper Award · IEEE VIS 2025]
  5. Publication preview: Lossless-INR: Lossless Volumetric Implicit Neural Representations
    VIS Short 2026

    Lossless-INR: Lossless Volumetric Implicit Neural Representations

    Kaiyuan Tang, Daniel Burke, and Chaoli Wang
    In Proceedings of IEEE VIS Conference (Short Papers), Boston, MA, Nov 2026.
  6. Publication preview: SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation
    CVPR 2026

    SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation

    Zixuan Pan*, Kaiyuan Tang*, Jun Xia, Yifan Qin, Lin Gu, Chaoli Wang, Jianxu Chen, and Yiyu Shi
    In Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition, Denver, CO, pages 12162-12172, Jun 2026. [Highlight Presentation]
  7. Publication preview: Toward AI VIS Co-Scientists: An Agent Harness for End-to-End Design of Scientific Visualization Applications
    VISxGenAI 2026

    Toward AI VIS Co-Scientists: An Agent Harness for End-to-End Design of Scientific Visualization Applications

    Haichao Miao, Zhimin Li, Kuangshi Ai, Kaiyuan Tang, Chaoli Wang, Peer-Timo Bremer, and Shusen Liu
    2nd Workshop on GenAI, Agents, and the Future of VIS (VISxGenAI at IEEE VIS), Boston, MA, Nov 2026. [Oral Presentation]
  8. Publication preview: SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and Visualization
    arXiv

    SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and Visualization

    Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Shusen Liu, and Chaoli Wang
    arXiv preprint arXiv:2606.05525, 2026.
  9. Publication preview: SVLAT: Scientific Visualization Literacy Assessment Test
    arXiv

    SVLAT: Scientific Visualization Literacy Assessment Test

    Patrick Phuoc Do, Kaiyuan Tang, Kuangshi Ai, and Chaoli Wang
    arXiv preprint arXiv:2603.19000, 2026.
  10. Publication preview: Direct Topology Tracking in Continuous Implicit Models
    arXiv

    Direct Topology Tracking in Continuous Implicit Models

    Guanqun Ma, David Lenz, Kaiyuan Tang, Hanqi Guo, Chaoli Wang, Tom Peterka, and Bei Wang
    arXiv preprint arXiv:2609.12157, 2026.

2025

  1. Publication preview: Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
    PacificVis Notes 2025

    Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation

    Maizhe Yang, Kaiyuan Tang, and Chaoli Wang
    In Proceedings of IEEE Pacific Visualization Conference (Visualization Notes), Taipei, Taiwan, pages 246-251, Apr 2025.
  2. Publication preview: iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting
    PacificVis 2025

    iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting

    Kaiyuan Tang, Siyuan Yao, and Chaoli Wang
    IEEE Transactions on Visualization and Computer Graphics (IEEE PacificVis 2025), 31(6):3783-3795, Jun 2025.
  3. Publication preview: StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization
    VIS 2024

    StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization

    Kaiyuan Tang and Chaoli Wang
    IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2024), 31(1):613-623, Jan 2025.

2024

  1. Publication preview: STSR-INR: Spatiotemporal Super-Resolution for Multivariate Time-Varying Volumetric Data via Implicit Neural Representation
    Computers & Graphics

    STSR-INR: Spatiotemporal Super-Resolution for Multivariate Time-Varying Volumetric Data via Implicit Neural Representation

    Kaiyuan Tang and Chaoli Wang
    Computers & Graphics, 119:103874, Apr 2024.
  2. Publication preview: ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets
    PacificVis 2024

    ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets

    Kaiyuan Tang and Chaoli Wang
    In Proceedings of IEEE Pacific Visualization Conference, Tokyo, Japan, pages 72-81, Apr 2024.