46 citations · 139 across the 14 of their papers we have counts for
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cs.LG2023★ 46 cited
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems
Qinghua Xu, Shaukat Ali, Tao Yue
Anomaly detection is critical to ensure the security of cyber-physical systems (CPS). However, due to the increasing complexity of attacks and CPS themselves, anomaly detection in…
cs.LG2023★ 11 cited
Knowledge Distillation-Empowered Digital Twin for Anomaly Detection
Qinghua Xu, Shaukat Ali, Tao Yue +2
Cyber-physical systems (CPSs), like train control and management systems (TCMS), are becoming ubiquitous in critical infrastructures. As safety-critical systems, ensuring their dep…
cs.LG2023★ 11 cited
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
Chengjie Lu, Qinghua Xu, Tao Yue +3
The Cancer Registry of Norway (CRN) collects information on cancer patients by receiving cancer messages from different medical entities (e.g., medical labs, and hospitals) in Norw…