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Wei Le Associate Professor CV
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If you are interested in machine learning for code, machine learning for medicine and/or analyzing deep learning systems, please send your CV to weile@iastate.edu. I am mostly looking for PhD students, but exceptional master and undergraduate students will also be considered. |
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Recent Work and News |
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Congratulations, Ellie Kloberdanz, for the accepted ICSE22 paper: DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning Congratulations, Mohammad Wardat, for the accepted ICSE22 paper: DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs Please check out our open source tool: Hydrogen is a program analysis tool that can compare and analyze software changes and versions. It has been used in our program analysis class |
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Research Interests
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Selected Research Papers
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2016-2021 Fall/Spring: COM S 342 Principles of Programming Languages 2016-2021 Spring: COM S 413, COM S/CPRE 513 Foundations and Applications of Program Analysis 2020 Spring: COM S 665A Advanced Topics -- the Intersection of Software Engineering and Machine Learning |
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Co-chairing: 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 2023/2022/2021/2019/2016, FSE 2022/2020/2019/2018, ASE 2021/2018/2016, ISSTA 2020/2015, CAIN 2022, TSE 2021/2017/2016/2015, TOSEM 2019/2016/2015/2014, ICST 2016, ICSE 2015 Demonstration, ICPC 2014 ERA, MOBS 2013 Panelist: NSF 2022/2019/2018/2016/2014/2013, DOE 2016/2015 STEM Volunteering: Instructor @ Software Carpentry and Data Carpentry 2017-present, SIGSOFT CAPS coordinator: 2014-2015 |
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