collaborators

6 papers

cs.DC2026

pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression

Yuxiao Li, Mingze Xia, Xin Liang +7

Lossy compression, widely used by scientists to reduce data from simulations, experiments, and observations, can distort features of interest even under bounded error. Such distort…

cs.GR2026

Spatiotemporal Detection and Uncertainty Visualization of Atmospheric Blocking Events

Mingzhe Li, Peer Nowack, Bei Wang

Atmospheric blocking events are quasi-stationary high-pressure systems that disrupt the typical paths of polar and subtropical air currents, often producing prolonged extreme weath…

cs.GR2025

TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields

Nathaniel Gorski, Xin Liang, Hanqi Guo +1

In this paper, we present a novel compression framework, TFZ, that preserves the topology of 2D symmetric and asymmetric second-order tensor fields defined on flat triangular meshe…

cs.LG2025

Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs

Guanqun Ma, David Lenz, Hanqi Guo +2

Implicit continuous models, such as functional models and implicit neural networks, are an increasingly popular method for replacing discrete data representations with continuous,…

cs.GR2025

ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization

Md Rahat-uz- Zaman, Bei Wang, Paul Rosen

Deep neural networks (DNNs) achieve state-of-the-art performance in many vision tasks, yet understanding their internal behavior remains challenging, particularly how different lay…

cs.DC2025

A General Framework for Augmenting Lossy Compressors with Topological Guarantees

Nathaniel Gorski, Xin Liang, Hanqi Guo +2

Topological descriptors such as contour trees are widely utilized in scientific data analysis and visualization, with applications from materials science to climate simulations. It…