Wei Le  Associate Professor CV

Computer Science, Iowa State University

Research interests: trustworthy software and AI


If you are interested in finding/fixing vulnerabilities, machine learning for code 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.

Recent Work and News

Congratulations, Ashwin Joshy, Xueyuan Chen and Ben Steenhoek, for the accepted ISSTA21 paper: Validating Static Warnings via Testing Code Fragments

Congratulations, Xiaofei Xie, for the accepted ICML21 paper: Automatic RNN Repair via Model-based Analysis

Congratulations, Ellie Kloberdanz, for the accepted paper: an Improved (Adversarial) Reprogramming Technique for Neural Networks, in 2021 International Conference on Artificial Neural Networks

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

Research Interests


I am interested in software engineering, program analysis, and the intersection of software engineering and machine learning. I work with Program Analysis Lab at Iowa State University on the topics of automating software engineering tasks of bug detection, testing, debugging and repair as well as big code analysis and safe AI.

Selected Research Papers  

    [ICSE21] DeepLocalize: Fault Localization for Deep Neural Networks [code and dataset]
    [TSE19] Specifying Callback Control Flow of Mobile Apps Using Finite Automata
    [TSE17] Automatic Loop Summarization via Path Dependency Analysis
    [FSE16] Proteus: Computing Disjunctive Loop Summary via Path Dependency Analysis (Distinguished Paper)
    [ICSE16] Generating Performance Distributions via Probabilistic Symbolic Execution
    [ICSE14] Patch Verification via Multiversion Interprocedural Control Flow Graphs
    [ICSE13] Segmented Symbolic Analysis
    [TOSEM13] Marple: Detecting Faults in Path Segments Using Automatically Generated Analyses
    [FSE10] Path-Based Fault Correlations
    [FSE08] Marple, A Demand-Driven Path-Sensitive Buffer Overflow Detector (Best FSE presentation)
    [TSE05] Software Assurance by Bounded Exhaustive Testing


    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

Professional Activities

    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 2016/2019/2021/2022, FSE 2018/2019/2020, ASE 2016/2018/2021, TSE 2015/2016/2017/2021, TOSEM 2014/2015/2016/2019, ICST 2016, ISSTA 2015/2020, ICSE 2015 Demonstration, ICPC 2014 ERA, MOBS 2013

    Panelist: NSF 2013/2014/2016/2018/2019, DOE 2015/2016

    STEM Volunteering: Instructor @ Software Carpentry and Data Carpentry 2017-present, SIGSOFT CAPS coordinator: 2014-2015