Adaptive Loss Function Design Algorithm for Input Data Distribution in Autoencoder. - Joohong Rheey; Dayoung Choi; Hyunggon Park (ICTC, 2022)

Low-complexity Anomaly Detection Method based on Feature Importance using Shapley Value. - Joohong Rheey; Hyunggon Park (ICUFN, 2023)

Poster: Symmetrical Pruning for Lightweight Network Anomaly Detector. - Joohong Rheey; Dayoung Choi; Hyunggon Park (MobiSys, 2024)

Game-Theoretic Lightweight Autoencoder Design for Intrusion Detection. - Joohong Rheey; Hyunggon Park (WCNC, 2024)

SV-SAE: Layer-Wise Pruning for Autoencoder Based on Link Contributions. - Joohong Rheey; Hyunggon Park (IEEE Access, 2025)

Attack-specific feature analysis framework for NetFlow IoT datasets. - Dayoung Choi; Joohong Rheey; Hyunggon Park (Comput. Secur., 2025)

Robust hierarchical anomaly detection using feature impact in IoT networks. - Joohong Rheey; Hyunggon Park (ICT Express, 2025)