| 2024 | IWQoS | Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient. | Guanglei He, Xiaohui Nie, Ruming Tang, Kun Wang, Zhaoyang Yu, Xidao Wen, Kanglin Yin, Dan Pei |
| 2022 | DEXA | Mining Fluctuation Propagation Graph Among Time Series with Active Learning. | Mingjie Li, Minghua Ma, Xiaohui Nie, Kanglin Yin, Li Cao, Xidao Wen, Zhiyun Yuan, Duogang Wu, Guoying Li, Wei Liu, Xin Yang, Dan Pei |
| 2022 | ISSRE | Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data. | Xuanrun Wang, Kanglin Yin, Qianyu Ouyang, Xidao Wen, Shenglin Zhang, Wenchi Zhang, Li Cao, Jiuxue Han, Xing Jin, Dan Pei |
| 2022 | KDD | Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition. | Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei |
| 2019 | COMPSAC | Short-Term Performance Metrics Forecasting for Virtual Machine to Support Anomaly Detection Using Hybrid ARIMA-WNN Model. | Juan Qiu, Qingfeng Du, Wei Wang, Kanglin Yin, Liang Chen |
| 2018 | ICA3PP | An Approach of Collecting Performance Anomaly Dataset for NFV Infrastructure. | Qingfeng Du, Yu He, Tiandi Xie, Kanglin Yin, Juan Qiu |
| 2018 | ICANN | Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning. | Juan Qiu, Qingfeng Du, Yu He, YiQun Lin, Jiaye Zhu, Kanglin Yin |