- Published paper 'Who's to Blame? Rethinking the Brittleness of Automated Web GUI Testing from a Pragmatic Perspective', ASE 2025
- Published paper 'Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning', ASE 2025
- Published paper 'Improving QA System Testing Efficiency Through White-Box Test Prioritization', QRS 2025
- Published paper 'Enhancing Log Sentiments: An Exploratory Study of Sentiments and Emotions with Software Logs', ACM TOSEM
- Published paper 'Towards Effectively Testing Machine Translation Systems from White-box Perspectives', EMSE
- Published paper 'Towards a Robust Waiting Strategy for Web GUI Testing for an Industrial Software System', ASE 2024 - Industry Showcase Track
- Won SSBSE 2024 Challenge Track, paper 'StableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation'
- Published paper 'StableYolo: Optimizing Image Generation for Large Language Models', SSBSE 2023 - Challenge Track
- Published paper 'LoGenText-Plus: Improving Neural Machine Translation-based Logging Texts Generation with Syntactic Templates', ACM TOSEM
- Published paper 'CoMSA: A modeling driven sampling approach for configuration performance testing', ASE 2023
- Published paper 'IoPV: On Inconsistent Option Performance Variations', ESEC/FSE 2023
- Published paper 'On the Temporal Relations between Logging and Code', ICSE 2023
Research Experience
- Assistant Professor at the Data Science and Analytics Thrust, Information Hub, The Hong Kong University of Science and Technology (Guangzhou)
- Visiting researcher at University College London (UCL) in 2023
Education
- Ph.D. from the University of Waterloo in 2024, advised by Prof. Weiyi Shang
- B.Eng. in Software Engineering from Beijing University of Posts and Telecommunications
- Visiting researcher at University College London (UCL) in 2023, hosted by Prof. Federica Sarro
Background
Currently an Assistant Professor at the Data Science and Analytics Thrust, Information Hub, The Hong Kong University of Science and Technology (Guangzhou). Research interests include leveraging intelligent approaches (e.g., ML/DL/LLMs) to enhance various software engineering tasks, particularly in software testing, logging, mining software repositories, empirical software engineering, and performance engineering for large-scale systems.