王焕廷

Huanting Wang

I am a Ph.D student of computer science at the School of Computing at the University of Leeds. During my Ph.D. studies, I am fortunate to receive guidance from Zheng Wang. My Curriculum Vitae (Jan 2024) is available for download here.

My research subject is automated, robust, and trustworthy machine learning for program modeling, which aims to make software development easier and more accessible so that every programmer can easily write, maintain, and optimize software.

My research interests include:

• Program optimisation: a) Bridging the gap between machine learning(including deep and reinforcement learning) and compiler programmers, enabling developers to easily integrate machine learning into compilers. b) Enhancing performance of ML models in the deployed environment, allowing the deployed model to achieve performance similar to that attained during the training phase.
• Software security: Utilizing machine learning and code analysis techniques to identify software bugs and vulnerabilities. My recent work has successfully detected over 100 bugs and more than 40 CVEs in real-life projects.

• [Mar, 2024] One paper has been accepted to ISSTA 24!
• [Jan, 2024] I am invited to present a poster on "Enhancing Machine Learning Model Robustness for Code Optimization After Deployment" in the CGO 24 for SRC. See you in Edinburgh!
• [December, 2023] One paper has been accepted to ICSE 24! See you in Lisbon!
• [December, 2023] Received MITCAS Globalink Research Award!
• [July, 2023] I presented a poster on "Towards Automated, Robust and Trustworthy Machine Learning for Program Modeling" in the LIDA Data Science Infrastructures Programme Workshop.