activity
20192023
most citedMicroparticle cloud imaging and tracking for data-driven plasma science

19 citations · 83 across the 9 of their papers we have counts for

collaborators

9 papers

cs.GR2023★ 1 cited

VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration

Jiayi Xu, Han-Wei Shen

We present VMap, a map-like rectangular space-filling visualization, to perform vertex-centric graph exploration. Existing visualizations have limited support for quality optimizat…

cs.LG2022★ 9 cited

IDLat: An Importance-Driven Latent Generation Method for Scientific Data

Jingyi Shen, Haoyu Li, Jiayi Xu +2

Deep learning based latent representations have been widely used for numerous scientific visualization applications such as isosurface similarity analysis, volume rendering, flow f…

cs.GR2022

VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations

Neng Shi, Jiayi Xu, Haoyu Li +3

We propose VDL-Surrogate, a view-dependent neural-network-latent-based surrogate model for parameter space exploration of ensemble simulations that allows high-resolution visualiza…

cs.GR2021★ 7 cited

Reinforcement Learning for Load-balanced Parallel Particle Tracing

Jiayi Xu, Hanqi Guo, Han-Wei Shen +3

We explore an online reinforcement learning (RL) paradigm to dynamically optimize parallel particle tracing performance in distributed-memory systems. Our method combines three nov…

eess.IV2021★ 16 cited

Deep Hierarchical Super Resolution for Scientific Data

Skylar W. Wurster, Hanqi Guo, Han-Wei Shen +2

We present a novel technique for hierarchical super resolution (SR) with neural networks (NNs), which upscales volumetric data represented with an octree data structure to a high-r…

cs.GR2020★ 16 cited

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking

Hanqi Guo, David Lenz, Jiayi Xu +7

We present the Feature Tracking Kit (FTK), a framework that simplifies, scales, and delivers various feature-tracking algorithms for scientific data. The key of FTK is our high-dim…

cs.DC2020★ 9 cited

Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis

Jiayi Xu, Hanqi Guo, Han-Wei Shen +5

We present a novel distributed union-find algorithm that features asynchronous parallelism and k-d tree based load balancing for scalable visualization and analysis of scientific d…

physics.plasm-ph2019★ 19 cited

Microparticle cloud imaging and tracking for data-driven plasma science

Zhehui Wang, Jiayi Xu, Yao E. Kovach +5

Large data sets give rise to the `fourth paradigm' of scientific discovery and technology development, extending other approaches based on human intuition, fundamental laws of phys…

cs.GR2019★ 6 cited

Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers

Jiayi Xu, Soumya Dutta, Wenbin He +2

Viscous and gravitational flow instabilities cause a displacement front to break up into finger-like fluids. The detection and evolutionary analysis of these fingering instabilitie…