Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks. - Ping Liu; Haowen Xu; Qianyu Ouyang; Rui Jiao; Zhekang Chen; Shenglin Zhang; Jiahai Yang; Linlin Mo; Jice Zeng; Wenman Xue; Dan Pei (ISSRE, 2020)

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 (ISSRE, 2022)

Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems. - Shenglin Zhang; Zhongjie Pan; Heng Liu; Pengxiang Jin; Yongqian Sun; Qianyu Ouyang; Jiaju Wang; Xueying Jia; Yuzhi Zhang; Hui Yang; Yongqiang Zou; Dan Pei (ISSRE, 2023)

Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems. - Chunhui Shen; Qianyu Ouyang; Feibo Li; Zhipeng Liu; Longcheng Zhu; Yujie Zou; Qing Su; Tianhuan Yu; Yi Yi; Jianhong Hu; Cen Zheng; Bo Wen; et al. (Proc. VLDB Endow., 2023)

Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis. - Zhaoyang Yu; Qianyu Ouyang; Changhua Pei; Xin Wang 001; Wenxiao Chen; Liangfei Su; Huai Jiang; Xuanrun Wang; Jianhui Li; Dan Pei (CCGrid, 2024)

Lindorm-UWC: An Ultra-Wide-Column Database for Internet of Vehicles. - Qianyu Ouyang; Chunhui Shen; Wenlong Yang; Peng Yu; Qiang Xiao; Jianhui Lei; Yadong Chen; Qilu Zhong; Xiang Wang; Yong Lin; Qingyi Meng; Zhicheng Ji; et al. (Proc. VLDB Endow., 2024)