Professional Summary
Jianxin (Jason) Sun is an assistant professor in the Computer Science department at the University of Cincinnati. He received his Ph.D. in Computer Science from the University of Nebraska-Lincoln, advised by Dr. Hongfeng Yu. He obtained his M.S. degree in Electrical and Computer Engineering (ECE) from Purdue University, advised by Dr. Avinash Kak. His research concentrates on AI-driven Data Modeling, Analysis, and Visualization through high-performance computing.
My lab works at the intersection of Data, Human, and AI. My research aims to establish the core foundations of next-generation AI-driven data analysis and visualization systems with enhanced expressivity, explainability, and scalability, empowering AI for Science through accelerated scientific discovery and innovation across specialized and interdisciplinary domains.
Learn more at: https://sunjianxin.github.io/
Education
Ph.D.: University of Nebraska-Lincoln, Lincoln, NE, 2024 (Computer Science)
M.S.: Purdue University, West Lafayette, IN, 2015 (Computer Engineering)
Research and Practice Interests
Visualization; High Performance Computing; Neural Rendering; Representation Learning; Big Data; Machine Learning; Artificial Intelligence.
Publications
Peer Reviewed Publications
Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Nathaniel Gorski, Jianxin Sun, Guoxi Liu, Helgi I Ingolfsson, David Lenz, Hanqi Guo, Hongfeng Yu, Teja Leburu, Michael Molash, Bei Wang, Tom Peterka, Chaoli Wang, Shusen Liu (2026. ) morSciVisAgentBench: A benchmark for evaluating scientific data analysis and visualization agents .IEEE VIS 2026, ,
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka (2026. ) Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization using Reconstruction Neural Networks .IEEE Transactions on Visualization and Computer Graphics (TVCG), , 32 (2 ) ,1481
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka (2025. ) F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding .IEEE VIS 2025, ,
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka (2024. ) Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation .IEEE 15th Symposium on Large Data Analysis and Visualization (LDAV), ,
Jianxin Sun, Xinyan Xie, Hongfeng Yu (2024. ) Rmdncache: Dual-space prefetching neural network for large-scale volume visualization .IEEE Transactions on Visualization and Computer Graphics (TVCG), , 31 (9 ) ,4560
Contact Information
Research - Cincinnati Ohio, sunjx@ucmail.uc.edu