Wei Le Associate Professor CV
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If you are interested in AI for software engineering, AI for medicine, or analyzing AI models and code, please submit your inquiries here: research track (Ph.D students) and engineering track. |
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Recent News |
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Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE, ICSE 2025, Collaborating with Microsoft Testing GPU Numerics: Finding Numerical Differences Between NVIDIA and AMD GPUs, Super Computing (SC) HPCTESTS 2024, Collaborating with Lawrence Livermore National Laboratory Towards Causal Deep Learning for Vulnerability Detection, ICSE 2024, Collaborating with Columbia University Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection, ICSE 2024 (talk@TOOS, talk@Google Journal Club) TRACED: Execution-aware Pre-training for Source Code, ICSE 2024, Collaborating with Columbia Univerity |
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Research Interests
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Selected Research Papers
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2016-2024 Fall/Spring: COM S 342 Principles of Programming Languages 2016-2023 Fall/Spring: COM S 413, COM S/CPRE 513 Program Analysis 2020 Spring: COM S 665A Advanced Topics -- the Intersection of Software Engineering and Machine Learning |
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Co-chairing: ASE 2024 Journal First Track, ISSTA 2021 Doctoral Symposium, ICSE 2020 Co-located Events, 2018 Midwest Big Data Summer School Software Analytics Track, ESEC/FSE 2017 Doctoral Symposium, ICST 2017 Workshop, ICST 2016 Testing Tool Demo
PC/Journal Review: ICSE 2025 Area Chair, ICSE 2023/2022/2021/2019/2016, FSE 2024/2022/2020/2019/2018, ASE 2021/2018/2016, ISSTA 2024/2020/2015, SPLASH 2024, CAIN 2022, TSE 2021/2017/2016/2015, TOSEM 2019/2016/2015/2014, ICST 2016, ICSE 2015 Demonstration, ICPC 2014 ERA, MOBS 2013, WAM 2023 Panelist: NSF 2023/2022/2019/2018/2016/2014/2013, DOE 2016/2015, NIH 2022 STEM Volunteering: Instructor @ Software Carpentry and Data Carpentry 2017-2022, SIGSOFT CAPS coordinator: 2014-2015 |
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