4 citations · 5 across the 3 of their papers we have counts for
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cs.SE2025★ 4 cited
Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach
Ivan Tan, Wei Minn, Christopher M. Poskitt +2
UAVs, commonly referred to as drones, have witnessed a remarkable surge in popularity due to their versatile applications. These cyber-physical systems depend on multiple sensor in…
cs.SE2024
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs
Imam Nur Bani Yusuf, Lingxiao Jiang
Large language models have demonstrated promising performance across various software engineering tasks. While fine-tuning is a common practice to adapt these models for downstream…
cs.SE2024★ 1 cited
Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection
Imam Nur Bani Yusuf, Lingxiao Jiang
Software, while beneficial, poses potential cybersecurity risks due to inherent vulnerabilities. Detecting these vulnerabilities is crucial, and deep learning has shown promise as…