4 citations · 8 across the 6 of their papers we have counts for
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cs.SE2026★ 4 cited
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
Yuejun Guo, Qiang Hu, Qiang Tang +1
Vulnerability detection is crucial to protect software security. Nowadays, deep learning (DL) is the most promising technique to automate this detection task, leveraging its superi…
cs.SE2025★ 1 cited
A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair
Zanis Ali Khan, Aayush Garg, Qiang Tang
Software vulnerabilities pose significant security threats, requiring effective mitigation. While Automated Program Repair (APR) has advanced in fixing general bugs, vulnerability…
cs.SE2025★ 2 cited
Evaluating Pre-Trained Models for Multi-Language Vulnerability Patching
Zanis Ali Khan, Aayush Garg, Yuejun Guo +1
Software vulnerabilities pose critical security risks, demanding prompt and effective mitigation strategies. While advancements in Automated Program Repair (APR) have primarily tar…