3 papers
cs.AI2026
From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data
Weihan Zhang, Xuan Zhao, Yenwen Peng +2
Implicit neural representations (INRs) for time-varying volumetric data are typically trained using dense sampling over spatiotemporal coordinates, where each observation correspon…
cs.HC2025
Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models
Weihan Zhang, Jun Tao
Explorative flow visualization allows domain experts to analyze complex flow structures by interactively investigating flow patterns. However, traditional visual interfaces often r…
cs.LG2024
Versatile Ordering Network: An Attention-based Neural Network for Ordering Across Scales and Quality Metrics
Zehua Yu, Weihan Zhang, Sihan Pan +1
Ordering has been extensively studied in many visualization applications, such as axis and matrix reordering, for the simple reason that the order will greatly impact the perceived…