| 2026 | ACL | TopoSHIELD: Reshaping the Flow of Malice via Spatio-Temporal Risk-Aware Topological Evolution in Multi-Agent Systems. | Ruiyang Huang, Chenxi Wang, Tinghe Zhang, Fengrui Liu, Jiayan Sun, Haocheng Wang, Yifan Wu |
| 2025 | WWW | Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis. | Changhua Pei, Zexin Wang, Fengrui Liu, Zeyan Li, Yang Liu, Xiao He, Rong Kang, Tieying Zhang, Jianjun Chen, Jianhui Li, Gaogang Xie, Dan Pei |
| 2023 | IWQoS | Grace: Interpretable Root Cause Analysis by Graph Convolutional Network for Microservices. | Rui Ren, Yang Wang, Fengrui Liu, Zhenyu Li, Gareth Tyson, Tianhao Miao, Gaogang Xie |
| 2023 | IWQoS | Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice. | Rui Ren, Yang Wang, Fengrui Liu, Zhenyu Li, Gaogang Xie |
| 2022 | ICCBR | MicroCBR: Case-Based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting. | Fengrui Liu, Yang Wang, Zhenyu Li, Rui Ren, Hongtao Guan, Xian Yu, Xiaofan Chen, Gaogang Xie |
| 2021 | ICASSP | An Accuracy Network Anomaly Detection Method Based on Ensemble Model. | Fengrui Liu, Xuefei Li, Wei Xiong, Haiyang Jiang, Gaogang Xie |
| 2021 | IJCNN | CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data. | Fengrui Liu, Haiyang Jiang, Zulong Diao, Yanbiao Li, Gaogang Xie |
| 2021 | ISCC | DSQNet: Domain SeQuence based Deep Neural Network for AGDs Detection. | Wei Xiong, Haiyang Jiang, Hongtao Guan, Fengrui Liu |