activity
20192025
most citedExplaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics

78 citations · 82 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025★ 1 cited

FEWSim: A Visual Analytic Framework for Exploring the Nexus of Food-Energy-Water Simulations

Fan Lei, David A. Sampson, Jiayi Hong +5

The interdependencies of food, energy, and water (FEW) systems create a nexus opportunity to explore the strengths and vulnerabilities of individual and cross-sector interactions w…

cs.HC2023

GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation

Fan Lei, Yuxin Ma, Stewart Fotheringham +5

Geographic regression models of various descriptions are often applied to identify patterns and anomalies in the determinants of spatially distributed observations. These types of…

cs.SI2020★ 1 cited

Auditing the Sensitivity of Graph-based Ranking with Visual Analytics

Tiankai Xie, Yuxin Ma, Hanghang Tong +2

Graph mining plays a pivotal role across a number of disciplines, and a variety of algorithms have been developed to answer who/what type questions. For example, what items shall w…

cs.HC2020★ 2 cited

A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes

Yuxin Ma, Arlen Fan, Jingrui He +2

Many statistical learning models hold an assumption that the training data and the future unlabeled data are drawn from the same distribution. However, this assumption is difficult…

cs.HC2019★ 78 cited

Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics

Yuxin Ma, Tiankai Xie, Jundong Li +1

Machine learning models are currently being deployed in a variety of real-world applications where model predictions are used to make decisions about healthcare, bank loans, and nu…