Using black-box performance models to detect performance regressions under varying workloads: an empirical study. - Lizhi Liao; Jinfu Chen 002; Heng Li 007; Yi Zeng; Weiyi Shang; Jianmei Guo; Catalin Sporea; Andrei Toma; Sarah Sajedi (Empir. Softw. Eng., 2020)

A case study on the stability of performance tests for serverless applications. - Simon Eismann; Diego Elias Costa; Lizhi Liao; Cor-Paul Bezemer; Weiyi Shang; André van Hoorn; Samuel Kounev (J. Syst. Softw., 2022)

An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks. - Lizhi Liao; Heng Li 007; Weiyi Shang; Lei Ma 003 (ACM Trans. Softw. Eng. Methodol., 2022)

Locating Performance Regression Root Causes in the Field Operations of Web-Based Systems: An Experience Report. - Lizhi Liao; Jinfu Chen 002; Heng Li 007; Yi Zeng; Weiyi Shang; Catalin Sporea; Andrei Toma; Sarah Sajedi (IEEE Trans. Software Eng., 2022)

Addressing Performance Regressions in DevOps: Can We Escape from System Performance Testing? - Lizhi Liao (ICSE Companion, 2023)

Adapting Performance Analytic Techniques in a Real-World Database-Centric System: An Industrial Experience Report. - Lizhi Liao; Heng Li 007; Weiyi Shang; Catalin Sporea; Andrei Toma; Sarah Sajedi (ESEC/SIGSOFT FSE, 2023)

Towards a Robust Waiting Strategy for Web GUI Testing for an Industrial Software System. - Haonan Zhang; Lizhi Liao; Zishuo Ding; Weiyi Shang; Nidhi Narula; Catalin Sporea; Andrei Toma; Sarah Sajedi (ASE, 2024)

Reducing the Length of Field-Replay Based Load Testing. - Yuanjie Xia 002; Lizhi Liao; Jinfu Chen 002; Heng Li 007; Weiyi Shang (IEEE Trans. Software Eng., 2024)

Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models. - Lizhi Liao; Simon Eismann; Heng Li 007; Cor-Paul Bezemer; Diego Elias Costa; André van Hoorn; Weiyi Shang (ICSE, 2025)

LTB25: 13th International Workshop on Load Testing and Benchmarking of Software Systems. - Stephen Fan; Lizhi Liao; Zhenhao Li 002 (ICPE (Companion), 2025)