Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN. - Mark Junjie Li; Zukang Gao; Jun Li; Xianyu Bao; Meiting Li; Gen Zhao (ICANN (3), 2023)

Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness. - Jun Li; Meiting Li; Mark Junjie Li; Lingxuan Zhu; Jiang Liu; Gen Zhao; Xiang Luo (ICANN (5), 2024)

SE-Inception-ResNet Model With Focal Loss for Transmission Line Fault Classification Under Class Imbalance. - Yanhui Xi; Meiting Li; Feng Zhou 005; Xin Tang; Zewen Li; Juanxiu Tian (IEEE Trans. Instrum. Meas., 2024)

Anomaly detection in attributed networks via local multi-order contrastive learning and global topology awareness. - Mark Junjie Li; Gen Zhao; Sunjie Huang; Qin Zhang 011; Jiang Liu; Meiting Li; Jun Li (Neurocomputing, 2025)