5 papers
Evaluating Forecasting Techniques for Hardware Errors on a Large-scale HPC System
Kaiyuan Liao, Xiwei Xuan, Tanwi Mallick +3
Hardware error logs in high-performance computing (HPC) systems provide early signals of abnormal behavior, yet there remain challenges in effectively forecasting these errors usin…
ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation
Xiwei Xuan, Ziquan Deng, Kwan-Liu Ma
Training-free open-vocabulary semantic segmentation (OVS) aims to segment images given a set of arbitrary textual categories without costly model fine-tuning. Existing solutions of…
Data Visualization for Improving Financial Literacy: A Systematic Review
Meng Du, Robert Amor, Kwan-Liu Ma +1
Financial literacy empowers individuals to make informed and effective financial decisions, improving their overall financial well-being and security. However, for many people unde…
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series
Ziquan Deng, Xiwei Xuan, Kwan-Liu Ma +1
Time series anomaly detection is a critical machine learning task for numerous applications, such as finance, healthcare, and industrial systems. However, even high-performing mode…
AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding
Xiwei Xuan, Jorge Piazentin Ono, Liang Gou +2
Data slice finding is an emerging technique for validating machine learning (ML) models by identifying and analyzing subgroups in a dataset that exhibit poor performance, often cha…