Jianxin (Jason) Sun
I received my Ph.D. degree in computer science from The University of Nebraska-Lincoln in 2024, advised by Professor Hongfeng Yu. I obtained my M.S. degree in Electrical and Computer Engineering (ECE) from Purdue University, advised by Professor Avinash Kak.
My research concentrates on large-scale scientific data modeling, analysis and visualization, machine learning and computer vision. Currently, my research works mainly focus on volumetric data modeling, learning and its visualization through neural networks.
News
Jul 26, 2024 | Our Adaptive-FAM paper is accepted by LDAV 2024 - Large Data Analysis and Visualization. |
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Jun 19, 2024 | Our RmdnCache paper is accepted by TVCG. |
Oct 27, 2023 | Two papers accepted by BigData 2023 as the leading author. |
Apr 2, 2023 | Our MFA-DVR paper got published in Journal of Visualization. |
Feb 2, 2023 | Please check our review paper on Machine Learning in Groundwater domain. |
Recent Selected publications
- RmdnCache: Dual Space Prefetching Neural Network for Large-Scale Volume VisualizationIEEE Transactions on Visualization and Computer Graphics, 2024
- Scalable Volume Visualization for Big Scientific Data Modeled by Functional ApproximationBig Data, 2023
- Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based ClusteringBig Data, 2023
- Machine LearningApplication of Machine Learning in Groundwater Quality Modeling - A Comprehensive ReviewWater Research, 2023
- Full Stack Web DevOneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor TestbedsACM WiNTECH, 2022
- Deep LearningSpatial-Temporal Scientific Data Clustering via Deep Convolutional Neural NetworkBig Data, 2019
- Computer Vision
- Visualization
- Computer Vision
- Computer VisionAutomation of Dormant Pruning in Specialty Crop Production: An Adaptive Framework for Automatic Reconstruction and Modeling of Apple TreesCVPR Workshop, 2015