Jianxin Sun is a Research Assistant Professor in the School of Computing, University of Nebraska-Lincoln. He received his Ph.D. degree in computer science from the University of Nebraska-Lincoln in 2024. He obtained his M.S. degree in Electrical and Computer Engineering (ECE) from Purdue University. His research concentrates on AI-driven scientific data modeling, analysis, and visualization through high-performance computing. Currently, his research work mainly focuses on sparse encoding, neural rendering, and interactive visualization.

Want to know more about me? Please talk to my “digital twin”:-)

News

• Feb 02, 2026: Will serve in the Program Committee for IEEE VIS 2026.
• Oct 06, 2025: Our Importance Mask paper is accepted by TVCG as the leading author.
• Sep 12, 2025: I will chair the VIS 2025 full paper session: Algorithms and Workflows. See you in Vienna!
• Jul 15, 2025: Our F-Hash paper is accepted by IEEE VIS 2025 as the leading author.
• Jun 12, 2025: Will serve in the Program Committee for Large Data Analysis and Visualization (LDAV) 2025.
• Mar 10, 2025: Will serve in the Program Committee for IEEE VIS and IEEE CLUSTER 2025.
• Dec 15, 2024: LLM-based agentic copilot for data management paper accepted by BigData 2024.
• Jul 26, 2024: Our Adaptive-FAM paper is accepted by LDAV 2024 - Large Data Analysis and Visualization.
• Jun 19, 2024: Our RmdnCache paper is accepted by TVCG as the leading author.
• Oct 27, 2023: Two papers accepted by BigData 2023 as the leading author.
• Apr 02, 2023: Our MFA-DVR paper got published in the Journal of Visualization.
• Feb 02, 2023: Please check our review paper on Machine Learning in the Groundwater domain.

Recent Selected Publications

Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization using Reconstruction Neural Networks

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025

| Paper | PDF | Video | Code |

F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

IEEE VIS, 2025

| Paper | PDF | Video | Code |

Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2024

| Paper | PDF | Video | Code |

RmdnCache: Dual Space Prefetching Neural Network for Large-Scale Volume Visualization

Jianxin Sun, Xinyan Xie, and Hongfeng Yu

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024

| Paper | PDF | Video | Code |

Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation

Jianxin Sun, David Lenz, Hongfeng Yu, and Tom Peterka

IEEE International Conference on Big Data (BigData), 2023

| Paper | PDF | Video | Code |

MFA-DVR: Direct Volume Rendering of MFA Models

Jianxin Sun, David Lenz, Hongfeng Yu, and Tom Peterka

Journal of Visualization, 2023

| Paper | PDF | Video | Code |

Quote

• “I have no special talents. I am only passionately curious.” — Albert Einstein