Yanfang Ye
Papers
1
Total Citations
11
H-Index
1
About
Dr. Yanfang Ye is a leading researcher in cybersecurity, artificial intelligence, and data-driven systems, with a particular focus on combating emerging threats in software and web environments. Her work bridges machine learning, software engineering, and security analytics to develop adaptive defenses against malicious code and evolving digital attacks. Among her most cited contributions is "WebEvo: taming web application evolution via detecting semantic structure changes" (2021, 11 citations), which addresses a critical challenge in the Big Data era: how to maintain the reliability of information retrieval and robotic process automation tools as websites continuously evolve. By detecting semantic structure changes, this work provides a foundational method for ensuring that automated systems remain functional and accurate despite web application updates. Dr. Ye’s research has been widely recognized for its practical impact, helping to safeguard data extraction pipelines and automate security monitoring at scale. Her innovative approaches to malware analysis, anomaly detection, and system resilience have earned her a reputation as a key figure in applied cybersecurity research, with her publications informing both academic inquiry and real-world defensive technologies.
Research Focus
Key Achievements
Top Papers
- 1