4 papers
Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
Junyu Ren, Wensheng Gan, Philip S Yu
Fault diagnosis under unseen operating conditions remains highly challenging when labeled data are scarce. Semi-supervised domain generalization fault diagnosis (SSDGFD) provides a…
UPER: Efficient Utility-driven Partially-ordered Episode Rule Mining
Hong Lin, Wensheng Gan, Junyu Ren +1
Episode mining is a fundamental problem in analyzing a sequence of numerous events. For discovering strong relationships between events in a complex event sequence, episode rule mi…
Guided Exploration of Sequential Rules
Wensheng Gan, Gengsen Huang, Junyu Ren +1
In pattern mining, sequential rules provide a formal framework to capture the temporal relationships and inferential dependencies between items. However, the discovery process is c…
Global-focal Adaptation with Information Separation for Noise-robust Transfer Fault Diagnosis
Junyu Ren, Wensheng Gan, Guangyu Zhang +2
Existing transfer fault diagnosis methods typically assume either clean data or sufficient domain similarity, which limits their effectiveness in industrial environments where seve…