Jixian Li

Post-Doc Research Associate
Scientific Computing & Imaging Institute
University of Utah
Email: email me

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Me

As a postdoc research associate at the Scientific Computing and Imaging (SCI) Institute under Dr. Chris Johnson, my work focuses on developing innovative visualization methods for scientific data, such as ensembles of time-varying 2D and 3D weather forecast simulations.

I received my Ph.D. from the University of Arizona, advised by Dr. Joshua Levine, where my dissertation studied deep learning approaches for exploring collections of visual features of scalar fields.

My research interests include scientific data visualization, uncertainty visualization, machine learning for scientific data analysis, and topological data analysis.

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Publications

Jixian Li, Timbwaoga A. J. Ouermi, and Chris R. Johnson. "Visualizing Uncertainties in Ensemble Wildfire Forecast Simulations." Uncertainty Visualization Workshop, 2024
10.1109/UncertaintyVisualization63963.2024.00016

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Timbwaoga A. J. Ouermi, Jixian Li, Zachary Morrow, Bart van Bloemen Waanders, and Chris R. Johnson. "Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields." Uncertainty Visualization Workshop, 2024
10.1109/UncertaintyVisualization63963.2024.00014

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Timbwaoga A. J. Ouermi, Jixian Li, Tushar M. Athawale, and Chris R. Johnson. "Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation methods." Uncertainty Visualization Workshop, 2024
10.1109/UncertaintyVisualization63963.2024.00012

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Mengjiao Han, Tushar M. Athawale, Jixian Li, and Chris R. Johnson. "Accelerated Depth Computation for Surface Boxplots with Deep Learning." Uncertainty Visualization Workshop, 2024
10.1109/UncertaintyVisualization63963.2024.00009

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Sangwon Jeong, Jixian Li, Shusen Liu, Chris R. Johnson, and Matthew Berger. "Text-based Transfer Function Design for Semantic Volume Rendering." IEEE VIS Short Paper, 2024
arxiv

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MengJiao Han, Jixian Li, Sudhanshu Sane, Shubhan Gupta, Bei Wang, Steve Petruzza, and Chris R. Johnson. "Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks." PacificVis, 2024
arxiv project 10.1109/PacificVis60374.2024.00015

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Jixian Li, Danielle Van Boxel, and Joshua A. Levine. "Autoencoder-Aided Visualization of Collections of Morse Complexes." TopoInVis Workshop, 2022
arxiv 10.1109/TopoInVis57755.2022.00009

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Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, and Carlos Scheidegger. "NeuralCubes: Deep Representations for Visual Data Exploration." IEEE Big Data, 2021
arxiv 10.1109/BigData52589.2021.9671390

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Matthew Berger, Jixian Li, and Joshua A. Levine. "A Generative Model for Volume Rendering." TVCG, 2018
arxiv project 10.1109/TVCG.2018.2816059

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Joke

• Q: How many prolog programmers does it take to change a lightbulb?
• A: Yes.

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Joke1

• I am going to tell you a UDP joke, but you may not get it. So I decide to tell you a TCP joke. abcdefghijklmnopqRST

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Meow

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