conf.researchr.org / Benjamin Steenhoek
Registered user since Fri 26 Jun 2020
Name:Benjamin Steenhoek
Bio:
I’m a PhD student at Iowa State University. My research interests lie at the intersection of machine learning and software engineering. I think that the current methods for program analysis are limited by only relying on an analytical approach, and that they will be much improved by integrating probabilistic reasoning which can be achieved by training deep learning with big data. I study in the Program Analysis Lab (PAL) under Dr. Wei Le.
Country:United States
Affiliation:Iowa State University
Personal website: https://benjijang.com
GitHub: https://github.com/bstee615
Research interests:Software Engineering, Program Analysis, Vulnerability Detection, Machine Learning, Deep Learning
Contributions
2024
ICSE
- Author of TRACED: Execution-aware Pre-training for Source Code within the Research Track-track
- Author of Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection within the Research Track-track
- Author of Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection within the Artifact Evaluation-track