18 citations · 36 across the 5 of their papers we have counts for
5 papers
CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration
Jiehui Zhou, Xumeng Wang, Kam-Kwai Wong +5
In causal inference, estimating Heterogeneous Treatment Effects (HTEs) from observational data is critical for understanding how different subgroups respond to treatments, with bro…
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
Jiehui Zhou, Linxiao Yang, Xingyu Liu +3
In causal inference, estimating heterogeneous treatment effects (HTE) is critical for identifying how different subgroups respond to interventions, with broad applications in field…
FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance
Jiehui Zhou, Xumeng Wang, Jie Wang +7
Collusive fraud, in which multiple fraudsters collude to defraud health insurance funds, threatens the operation of the healthcare system. However, existing statistical and machine…
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy
Jiehui Zhou, Xumeng Wang, Jason K. Wong +8
Data privacy is an essential issue in publishing data visualizations. However, it is challenging to represent multiple data patterns in privacy-preserving visualizations. The prior…
GraphFederator: Federated Visual Analysis for Multi-party Graphs
Dongming Han, Wei Chen, Rusheng Pan +8
This paper presents GraphFederator, a novel approach to construct joint representations of multi-party graphs and supports privacy-preserving visual analysis of graphs. Inspired by…