Validating static warnings via testing code fragments. - Ashwin Kallingal Joshy; Xueyuan Chen; Benjamin Steenhoek; Wei Le (ISSTA, 2021)

DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection. - Benjamin Steenhoek; Wei Le; Hongyang Gao (CoRR, 2022)

An Empirical Study of Deep Learning Models for Vulnerability Detection. - Benjamin Steenhoek; Md Mahbubur Rahman; Richard Jiles; Wei Le (ICSE, 2023)

A Study of Static Warning Cascading Tools (Experience Paper). - Xiuyuan Guo; Ashwin Kallingal Joshy; Benjamin Steenhoek; Wei Le; Lori Flynn (CoRR, 2023)

Reproducing Failures in Fault Signatures. - Ashwin Kallingal Joshy; Benjamin Steenhoek; Xiuyuan Guo; Wei Le (CoRR, 2023)

Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection. - Benjamin Steenhoek; Md Mahbubur Rahman; Shaila Sharmin; Wei Le (CoRR, 2023)

TRACED: Execution-aware Pre-training for Source Code. - Yangruibo Ding; Benjamin Steenhoek; Kexin Pei; Gail E. Kaiser; Wei Le; Baishakhi Ray (ICSE, 2024)

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. - Benjamin Steenhoek; Hongyang Gao; Wei Le (ICSE, 2024)

A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection. - Benjamin Steenhoek; Md Mahbubur Rahman; Monoshi Kumar Roy; Mirza Sanjida Alam; Earl T. Barr; Wei Le (CoRR, 2024)

Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. - Benjamin Steenhoek; Michele Tufano; Neel Sundaresan; Alexey Svyatkovskiy (DeepTest, 2025)

Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE. - Benjamin Steenhoek; Kalpathy Sivaraman; Renata Saldivar Gonzalez; Yevhen Mohylevskyy; Roshanak Zilouchian Moghaddam; Wei Le (ICSE, 2025)

CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning. - Monoshi Kumar Roy; Simin Chen; Benjamin Steenhoek; Jinjun Peng; Gail E. Kaiser; Baishakhi Ray; Wei Le (CoRR, 2025)