research
∙
08/25/2023
GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation
Geographic regression models of various descriptions are often applied t...
share
research
∙
08/10/2023
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization
Evolutionary multi-objective optimization (EMO) algorithms have been dem...
research
∙
04/18/2023
Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks
In this paper, we primarily focus on understanding the data preprocessin...
research
∙
02/24/2023
A mixed precision LOBPCG algorithm
The locally optimal block preconditioned conjugate gradient (LOBPCG) alg...
research
∙
02/15/2023
DiffSeer: Difference-based Dynamic Weighted Graph Visualization
Existing dynamic weighted graph visualization approaches rely on users' ...
research
∙
01/25/2023
XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis
Natural language interfaces (NLIs) enable users to flexibly specify anal...
research
∙
09/10/2022
A mixed precision Jacobi SVD algorithm
We propose a mixed precision Jacobi algorithm for computing the singular...
research
∙
07/29/2022
BiFeat: Supercharge GNN Training via Graph Feature Quantization
Graph Neural Networks (GNNs) is a promising approach for applications wi...
research
∙
05/05/2022
CNN-Augmented Visual-Inertial SLAM with Planar Constraints
We present a robust visual-inertial SLAM system that combines the benefi...
research
∙
05/05/2022
FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras
In this paper, we deal with the problem of monocular depth estimation fo...
research
∙
05/03/2022
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping
We present a robust and accurate depth refinement system, named GeoRefin...
research
∙
09/15/2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
Graph mining plays a pivotal role across a number of disciplines, and a ...
research
∙
09/15/2020
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes
Many statistical learning models hold an assumption that the training da...
research
∙
07/17/2019
