JIXIAN LI - Scientific Visualization Homepage!

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Jixian's Profile

☆ Jixian Li 李积贤 ☆

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Research associate in the Scalable Computational Intelligence team at the Texas Advanced Computing Center, University of Texas at Austin. I work with scientists to design and build intelligent systems that improve and automate scientific data analysis workflows. My goal is to make scientific discovery simple and efficient.

Before that: postdoc at the Scientific Computing and Imaging (SCI) Institute, University of Utah, with Dr. Chris Johnson, building visualization methods for computational fluid dynamics, medical imaging and biomedical simulations. Ph.D. from the University of Arizona with Dr. Joshua Levine, where my dissertation studied deep learning for exploring collections of visual features of scalar fields.

Interests: visualization, uncertainty analysis, machine learning and computational topology for scientific data. The big goal is to help scientists compute, analyze and communicate what they find.

Email: jixianli@tacc.utexas.edu CV: cv.pdf

publications.txt

~*~ 2026 ~*~

  • NEW! Antarctica: Looking through the Ice into the Past

    Francesca Samsel, Paola Arriaga, Iris Song, Duncan Young, and Jixian Li

    SC26 Art of HPC [video]

  • NEW! May (A)I Beautify Your Visualization? Expert Judgments of Acceptable Aesthetic Alterations

    Kalina Borkiewicz, Jixian Li, Joshua A. Levine, and Katherine E. Isaacs

    IEEE VIS [arxiv]

  • NEW! Topology-Preserving Meshing of Implicit Scalar Fields via Monotonicity Constraints

    Tanner Finken, Jixian Li, Bei Wang, Hanqi Guo, and Joshua A. Levine

    IEEE VIS [arxiv]

  • NEW! LoCoMapper: Local Structural Uncertainty Analysis of Mapper Graphs under Cover Perturbations

    Xinyuan Yan, Jixian Li, and Bei Wang

    Uncertainty Visualization Workshop

  • WebUVisBox: A Scenario-Based Framework for Collaborative and Accessible 3-D Uncertainty Visualization on the Web

    Jixian Li, Timbwaoga A. J. Ouermi, Mengjiao Han, and Chris R. Johnson

    IEEE CG&A [doi]

  • A Single-Cell Atlas and Shiny-Based Framework for Murine Lung Injury and Remodeling

    Qiuming Wang, Jixian Li, Philip J. Moos, and Alessandro Venosa

    Frontiers in Bioinformatics [doi]

  • Teaser figure for Hyperdifferential Sensitivity Analysis with Respect to Model Discrepancy: Prior Distributions

    Hyperdifferential Sensitivity Analysis with Respect to Model Discrepancy: Prior Distributions

    Joseph Hart, Bart van Bloemen Waanders, Jixian Li, Timbwaoga A. J. Ouermi, and Chris R. Johnson

    International Journal for Uncertainty Quantification [doi]

~*~ 2025 ~*~

  • Teaser figure for Uncertainty Tube Visualization of Particle Trajectories

    Uncertainty Tube Visualization of Particle Trajectories

    Jixian Li, Timbwaoga A. J. Ouermi, MengJiao Han, and Chris R. Johnson

    Uncertainty Visualization Workshop [arxiv] [doi]

~*~ 2024 ~*~

  • Teaser figure for Visualizing Uncertainties in Ensemble Wildfire Forecast Simulations

    Visualizing Uncertainties in Ensemble Wildfire Forecast Simulations

    Jixian Li, Timbwaoga A. J. Ouermi, and Chris R. Johnson

    Uncertainty Visualization Workshop [doi]

  • Teaser figure for Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields

    Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields

    Timbwaoga A. J. Ouermi, Jixian Li, Zachary Morrow, Bart van Bloemen Waanders, and Chris R. Johnson

    Uncertainty Visualization Workshop [doi]

  • Teaser figure for Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods

    Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods

    Timbwaoga A. J. Ouermi, Jixian Li, Tushar M. Athawale, and Chris R. Johnson

    Uncertainty Visualization Workshop [doi]

  • Teaser figure for Accelerated Depth Computation for Surface Boxplots with Deep Learning

    Accelerated Depth Computation for Surface Boxplots with Deep Learning

    Mengjiao Han, Tushar M. Athawale, Jixian Li, and Chris R. Johnson

    Uncertainty Visualization Workshop [doi]

  • Teaser figure for Text-Based Transfer Function Design for Semantic Volume Rendering

    Text-Based Transfer Function Design for Semantic Volume Rendering

    Sangwon Jeong, Jixian Li, Chris R. Johnson, Shusen Liu, and Matthew Berger

    IEEE VIS [arxiv] [doi]

  • Teaser figure for Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks

    Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks

    MengJiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, and Chris R. Johnson

    PacificVis [arxiv] [project] [doi]

~*~ 2022 ~*~

  • Deep Learning Approaches for Exploring Collections of Visual Features of Scalar Fields

    Jixian Li

    Ph.D. Dissertation, University of Arizona

  • Teaser figure for Autoencoder-Aided Visualization of Collections of Morse Complexes

    Autoencoder-Aided Visualization of Collections of Morse Complexes

    Jixian Li, Danielle Van Boxel, and Joshua A. Levine

    TopoInVis Workshop [arxiv] [doi]

~*~ 2021 ~*~

  • Teaser figure for NeuralCubes: Deep Representations for Visual Data Exploration

    NeuralCubes: Deep Representations for Visual Data Exploration

    Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, and Carlos Scheidegger

    IEEE Big Data [arxiv] [doi]

~*~ 2019 ~*~

  • Teaser figure for A Generative Model for Volume Rendering

    A Generative Model for Volume Rendering

    Matthew Berger, Jixian Li, and Joshua A. Levine

    TVCG [arxiv] [project] [doi]

jokes.bat

Q: How many Prolog programmers does it take to change a lightbulb?
A: Yes.
A UDP joke, but you may not get it.
So here is a TCP joke instead: abcdefghijklmnopqRST

Also required reading: xkcd 1739, Fixing Problems.

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