Jixian Li

Research Associate
Scalable Computational Intelligence

Email: jixianli@tacc.utexas.edu

Jixian Li is a Research Associate who joined TACC in 2026. Coming from a postdoctoral position at the University of Utah's Scientific Computing and Imaging (SCI) Institute, Jixian brings extensive experience in high-performance computing, AI, and Scientific Visualization (SciVis). At TACC, his focus continues to be on leveraging AI and topology to build advanced visual representations of complex scientific data.

Selected Publications

Sangwon Jeong, Jixian Li, Shusen Liu, Chris R. Johnson, and Matthew Berger. “Text-based transfer function design for semantic volume rendering,” in 2024 IEEE Visualization and Visual Analytics (VIS), 2024, pp. 196–200. DOI: 10.1109/VIS55277.2024.00047

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." In 2024 IEEE 17th Pacific Visualization Conference (PacificVis), 2024, pp. 52–61. DOI:10.1109/PacificVis60374.2024.00015.

Jixian Li, Danielle Van Boxel, and Joshua A. Levine. "Autoencoder-Aided Visualization of Collections of Morse Complexes." in 2022 Topological Data Analysis and Visualization (TopoInVis), 2022, pp. 18–28. DOI: 10.1109/TopoInVis57755.2022.00009.

Matthew Berger, Jixian Li, and Joshua A. Levine. "A Generative Model for Volume Rendering." IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 4, pp. 1636–1650, 2019. DOI: 10.1109/TVCG.2018.2816059.

Areas of Research

• Scientific Data Visualization and Analysis
• Machine Learning
• Computational Topology