Adaboost-based Graph Convolutional Networks with Channel Attention for Intrusion Detection in Internet-of-Things. - Jing Long; Cuiting Luo; Ruxin Chen; Wei Liang 005; Zheng Qin 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Multivariate Time Series Anomaly Detection with Improved Encoder-Decoder Based Model. - Jing Long; Cuiting Luo; Ruxin Chen (CSCloud/EdgeCom, 2023)

MS_HGNN: a hybrid online fraud detection model to alleviate graph-based data imbalance. - Jing Long; Fei Fang; Cuiting Luo; Yehua Wei; Tien-Hsiung Weng (Connect. Sci., 2023)

A cross-layered cluster embedding learning network with regularization for multivariate time series anomaly detection. - Jing Long; Cuiting Luo; Ruxin Chen; Jianping Yu; Kuan-Ching Li (J. Supercomput., 2024)