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cs.LG2026
Interpretable Graph-Level Anomaly Detection via Contrast with Normal Prototypes
Qiuran Zhao, Kai Ming Ting, Xinpeng Li
The task of graph-level anomaly detection (GLAD) is to identify anomalous graphs that deviate significantly from the majority of graphs in a dataset. While deep GLAD methods have s…
cs.LG2025
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
Xinpeng Li, Kai Ming Ting
The proliferation of complex, black-box AI models has intensified the need for techniques that can explain their decisions. Feature attribution methods have become a popular soluti…
cs.LG2024
An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel
Xinpeng Li, Zile Jiang, Kai Ming Ting +1
Automatic Modulation Classification (AMC), as a crucial technique in modern non-cooperative communication networks, plays a key role in various civil and military applications. How…