Web services recommendation based on Metapath-guided graph attention network. - Xiaoyu Li; Xiuguo Zhang; Peipeng Wang; Zhiying Cao (J. Supercomput., 2022)

Robust log anomaly detection based on contrastive learning and multi-scale MASS. - Xuejie Wang; Qilei Cao; Qiaozheng Wang; Zhiying Cao; Xiuguo Zhang; Peipeng Wang (J. Supercomput., 2022)

Log Anomaly Detection Based on Semantic Features and Topic Features. - Peipeng Wang; Xiuguo Zhang; Zhiying Cao (ICA3PP (5), 2023)

A KPIs-Based Reliability Measuring Method for Service System. - Shuwei Yan; Zhiying Cao; Xiuguo Zhang; Peipeng Wang; Zhiwei Chen (ICA3PP (5), 2023)

Interpretable prison term prediction with reinforce learning and attention. - Peipeng Wang; Xiuguo Zhang; Han Yu; Zhiying Cao (Appl. Intell., 2023)

Interpretable web service recommendation based on disentangled representation learning. - Ying Huang; Zhiying Cao; Siyuan Chen; Xiuguo Zhang; Peipeng Wang; Qilei Cao (J. Intell. Fuzzy Syst., 2023)

LogGT: Cross-system log anomaly detection via heterogeneous graph feature and transfer learning. - Peipeng Wang; Xiuguo Zhang; Zhiying Cao; Weigang Xu; Wangwang Li (Expert Syst. Appl., 2024)

MADMM: microservice system anomaly detection via multi-modal data and multi-feature extraction. - Peipeng Wang; Xiuguo Zhang; Zhiying Cao; Zihan Chen (Neural Comput. Appl., 2024)

Anomaly detection for microservice system via augmented multimodal data and hybrid graph representations. - Peipeng Wang; Xiuguo Zhang; Zhiying Cao (Inf. Fusion, 2025)

Unsupervised microservice system anomaly detection via contrastive multi-modal representation clustering. - Peipeng Wang; Xiuguo Zhang; Yutian Chen; Zhiying Cao (Inf. Process. Manag., 2025)

LogSD: log anomaly detection via topic words awareness semantic augmentation and category-guided Mixup data augmentation. - Peipeng Wang; Xiuguo Zhang; Zhiying Cao (J. Supercomput., 2025)

Multi-modal anomaly detection for microservice system through nested graph diffusion reconstruction. - Mengwei Fan; Xiuguo Zhang; Peipeng Wang; Zhiying Cao (Appl. Intell., 2025)