基本信息
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Bio
RESEARCH INTEREST
My research interest lies broadly in the intersection of software engineering and machine learning. I am interested in
developing intelligent analysis, testing, verification, and synthesis techniques to improve the reliability, robustness,
and performance of software systems, especially for machine learning systems.
Currently, I focus on testing machine learning libraries, which serve as the foundation for building, training, and
deploying deep learning models. My previous work has helped to find 275 real-world bugs in popular open-source
deep learning libraries including PyTorch, TensorFlow, JAX, and OneFlow.
My research interest lies broadly in the intersection of software engineering and machine learning. I am interested in
developing intelligent analysis, testing, verification, and synthesis techniques to improve the reliability, robustness,
and performance of software systems, especially for machine learning systems.
Currently, I focus on testing machine learning libraries, which serve as the foundation for building, training, and
deploying deep learning models. My previous work has helped to find 275 real-world bugs in popular open-source
deep learning libraries including PyTorch, TensorFlow, JAX, and OneFlow.
Research Interests
Papers共 14 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
arxiv(2024)
Cited0Views0Bibtex
0
0
CoRR (2023)
CoRR (2023)
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- 合作者
- 学生
- 导师
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