Robust System Instance Clustering for Large-Scale Web Services. - Shenglin Zhang; Dongwen Li; Zhenyu Zhong; Jun Zhu; Minghan Liang; Jiexi Luo; Yongqian Sun; Ya Su; Sibo Xia; Zhongyou Hu; Yuzhi Zhang; Dan Pei; et al. (WWW, 2022)

Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services. - Yongqian Sun; Minghan Liang; Zeyu Che; Dongwen Li; Tinghua Zheng; Shenglin Zhang; Pengtian Zhu; Yuzhi Zhang; Dan Pei (ICWS, 2023)

An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series. - Dongwen Li; Shenglin Zhang; Yongqian Sun; Yang Guo; Zeyu Che; Shiqi Chen; Zhenyu Zhong; Minghan Liang; Minyi Shao; Mingjie Li 005; Shuyang Liu; Yuzhi Zhang; et al. (ISSRE, 2023)

Robust Anomaly Clue Localization of Multi-Dimensional Derived Measure for Online Video Services. - Yongqian Sun; Daguo Cheng; Pengxiang Jin; Quan Ding; Shenglin Zhang; Xu Chen 054; Yuzhi Zhang; Minghan Liang; Dan Pei; Jianyan Zheng; Sen Luo; Xinyu Tang (IEEE Trans. Serv. Comput., 2023)

Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters. - Yongqian Sun; Daguo Cheng; Tiankai Yang 001; Yuhe Ji; Shenglin Zhang; Man Zhu; Xiao Xiong; Qiliang Fan; Minghan Liang; Dan Pei; Tianchi Ma; Yu Chen (IEEE Trans. Computers, 2023)

Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism. - Yongqian Sun; Yang Guo; Minghan Liang; Xidao Wen; Junhua Kuang; Shenglin Zhang; Hongbo Li; Kaixu Xia; Dan Pei (ISSRE (Workshops), 2024)

Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems. - Yongqian Sun; Minghan Liang; Shenglin Zhang; Zeyu Che; Zhiyao Luo; Dongwen Li; Yuzhi Zhang; Dan Pei; Lemeng Pan; Liping Hou (ACM Trans. Softw. Eng. Methodol., 2025)