2 papers
cs.SE2025
Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
Xiaotao Feng, Xiaogang Zhu, Kun Hu +4
Fuzzing is highly effective in detecting bugs due to the key contribution of randomness. However, randomness significantly reduces the efficiency of fuzzing, causing it to cost day…
cs.CV2025
F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation
Hengzhi Chen, Liqian Feng, Wenhua Wu +3
Semantic segmentation of ultra-high-resolution (UHR) remote sensing imagery is critical for applications like environmental monitoring and urban planning but faces computational an…