3 papers
cs.CR2025
Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector
Xingyuan Wei, Ce Li, Qiujian Lv +3
In dynamic Windows malware detection, deep learning models are extensively deployed to analyze API sequences. Methods based on API sequences play a crucial role in malware preventi…
cs.CL2025
BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs
Congying Liu, Xingyuan Wei, Peipei Liu +3
Biomedical queries often rely on a deep understanding of specialized knowledge such as gene regulatory mechanisms and pathological processes of diseases. They require detailed anal…
cs.CR2025
DWFS-Obfuscation: Dynamic Weighted Feature Selection for Robust Malware Familial Classification under Obfuscation
Xingyuan Wei, Zijun Cheng, Ning Li +3
Due to its open-source nature, the Android operating system has consistently been a primary target for attackers. Learning-based methods have made significant progress in the field…