A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion. - Yu Zheng 006; Xinglin Lian; Zhangxuan Dang; Chunlei Peng; Chao Yang 016; Jianfeng Ma 001 (CIKM, 2023)

Payload Level Anomaly Network Traffic Detection via Semi-Supervised Contrastive Learning. - Xinglin Lian; Yang Liu; Shanfeng Wang; Yu Zheng (TrustCom, 2024)

Multi-view multi-label network traffic classification based on MLP-Mixer neural network. - Yu Zheng 006; Zhangxuan Dang; Xinglin Lian; Chunlei Peng; Xinbo Gao 001 (Comput. Networks, 2024)

Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences. - Xinglin Lian; Chengtai Cao; Yan Liu; Xovee Xu; Yu Zheng 006; Fan Zhou 002 (WWW, 2025)

Semi-supervised anomaly traffic detection via multi-frequency reconstruction. - Xinglin Lian; Yu Zheng 006; Zhangxuan Dang; Chunlei Peng; Xinbo Gao 001 (Pattern Recognit., 2025)