Hi, This is Shiwen Shan (单诗雯) 👋
I am currently a second-year Ph.D. student in 
Sun Yat-sen University (SYSU). Prior to pursuing my Ph.D., I completed my bachelor’s degree at the same institution 😉.
I am supervised by Prof. Su and Prof. Zheng.
My research focuses on improving the reliability and performance of large-scale, complex software systems. I am particularly interested in exploring innovative approaches to enhance system performance, including improving diagnosability, reducing storage and computational costs, and optimizing system efficiency. Feel free to contact me for discussions and collaborations!
Updating news.
[2025/12] 🎉 One first-authored paper on effective log compression has been accepted by ICSE 2026! The preprint will be available soon.
[2025/08] 🎉 Happy to be a visiting student in Singapore Management University (SMU), as a part of RISE Lab, under the supervision of Prof. Yintong Huo!
[2025/06] 🚀 First-authored paper on improving configuration diagnosibility via proactive logging has been accepted by ICSE 2026 (60/660, 9.1%)! Check here for the preprint!
[2024/09] 🎉 Proud to be a PhD student in Sun Yat-sen University.
[2024/03] 🚀 First-authored paper on configuration error localization via logs has been accepted by ISSTA 2024!
[2023/07] 🎉 Had a wonderful journey as a visiting student in ARISE Lab in CUHK, thanks for the warm welcoming! 😊
Some selected publications.
The configuration logging framework is designed to enhance configuration diagnosability via automatically generated configuration logs.
Implementation
JavaTechnologies
Program Analysis LLMs
The automation tool is employed to localize configuration errors via logs with empowered LLMs.