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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, or analyzing AI models and code, 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 |
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Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection, ICSE 2024 TRACED: Execution-aware Pre-training for Source Code, ICSE 2024 Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks, KDD 2023 Reducing Branch Divergence to Speed up Parallel Execution of Unit Testing on GPUs, The Journal of Supercomputing 2023 |
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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: 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 2024/2022/2020/2019/2018, ASE 2021/2018/2016, ISSTA 2024/2020/2015, 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 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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