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Me

I am a post-doc at SCI institute. My research focus on scalar field visualization, uncertainty visualization and scalar field topology. I graduated from the department of computer science at the University of Arizona in 2022. My Ph.D. advisor is Joshua A. Levine. My dissertation studied deep learning approaches for exploring collections of visual features of scalar fields.

From time to time, I might also be working on any topics relate to algorithm, graphics, topology, cats, etc.

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Work

• Matthhew Berger, Jixian Li, Joshua A. Levine. "A Generative Model for Volume Rendering." TVCG, 2018
  arxiv project
• Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger. "NeuralCubes: Deep Representations for Visual Data Exploration."" IEEE Big Data, 2021.
  arxiv
• Jixian Li, Daniel Van Boxel, Joshua A. Levine. "Autoencoder-Aided Visualization of Collections of Morse Complexes."s TopoInVis Workshop, 2022.

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Joke

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

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Meow

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