Model Construction and Data Management of Running Log in Supporting SaaS Software Performance Analysis. - Rui Wang 036; Shi Ying 001; Chengai Sun; Hongyan Wan; Huo-lin Zhang; Xiangyang Jia (SEKE, 2017)

Cover Image Volume 48, Issue 11. - Rui Wang 036; Shi Ying 001 (Softw. Pract. Exp., 2018)

SaaS software performance issue identification using HMRF-MAP framework. - Rui Wang 036; Shi Ying 001 (Softw. Pract. Exp., 2018)

Log Data Modeling and Acquisition in Supporting SaaS Software Performance Issue Diagnosis. - Rui Wang 036; Shi Ying 001; Xiangyang Jia (Int. J. Softw. Eng. Knowl. Eng., 2019)

SaaS software performance issue diagnosis using independent component analysis and restricted Boltzmann machine. - Rui Wang 036; Shi Ying 001 (Concurr. Comput. Pract. Exp., 2020)

Log-Based Anomaly Detection with the Improved K-Nearest Neighbor. - Bingming Wang; Shi Ying 001; Guoli Cheng; Rui Wang 036; Zhe Yang; Bo Dong 006 (Int. J. Softw. Eng. Knowl. Eng., 2020)

A Log-Based Anomaly Detection Method with Efficient Neighbor Searching and Automatic K Neighbor Selection. - Bingming Wang; Shi Ying 001; Zhe Yang (Sci. Program., 2020)

HSACMA: a hierarchical scalable adaptive cloud monitoring architecture. - Rui Wang 036; Shi Ying 001; Meiyan Li; Shun Jia (Softw. Qual. J., 2020)

Analysing the Impact of Scaling Out SaaS Software on Response Time. - Bo Dong 006; Shi Ying 001; Bingming Wang; Guoli Cheng; Jiangyi Geng (Sci. Program., 2021)

A System Fault Diagnosis Method with a Reclustering Algorithm. - Zhe Yang; Shi Ying 001; Bingming Wang; Yiyao Li; Bo Dong 006; Jiangyi Geng; Ting Zhang (Sci. Program., 2021)

An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects. - Wei Li 241; Qingan Li; Yunlong Ming; Weijiao Dai; Shi Ying 001; Mengting Yuan 001 (Empir. Softw. Eng., 2022)

Batch Jobs Load Balancing Scheduling in Cloud Computing Using Distributional Reinforcement Learning. - Tiangang Li; Shi Ying 001; Yishi Zhao; Jianga Shang (IEEE Trans. Parallel Distributed Syst., 2024)

iTCRL: Causal-Intervention-Based Trace Contrastive Representation Learning for Microservice Systems. - Xiangbo Tian; Shi Ying 001; Tiangang Li; Mengting Yuan 001; Ruijin Wang; Yishi Zhao; Jianga Shang (IEEE Trans. Software Eng., 2024)

Performance issue monitoring, identification and diagnosis of SaaS software: a survey. - Rui Wang 036; Xiangbo Tian; Shi Ying 001 (Frontiers Comput. Sci., 2025)

TraceDAE: Trace-Based Anomaly Detection in Microservice Systems via Dual Autoencoder. - Junjun Li; Shi Ying 001; Tiangang Li; Xiangbo Tian (IEEE Trans. Netw. Serv. Manag., 2025)

ASTRA: Adversarial Sim-to-Real Transfer Reinforcement Learning for Autoscaling in Cloud Systems. - Tiangang Li; Shi Ying 001; Xiangbo Tian; Ting Zhang; Yong Wang (IEEE Trans. Software Eng., 2025)

DALAD: Unsupervised Detection of Global and Local Anomalies in Microservice Systems. - Xiangbo Tian; Shi Ying 001; Tiangang Li; Ting Zhang; Yong Wang (IEEE Trans. Serv. Comput., 2026)