About me

I am currently engaged in postdoctoral research at Macau University of Science and Technology, where I focus on addressing practical challenges at the intersection of software engineering and cybersecurity. Over the course of my academic career, I have published multiple papers in esteemed journals such as IEEE Transactions on Software Engineering (TSE) and ACM Transactions on Software Engineering and Methodology (TOSEM), contributing valuable insights to our field.

My research encompasses several key areas:

• Android Malware Detection: I develop detection systems that combine traditional analysis with deep learning techniques to enhance the accuracy and robustness of malware identification.
• Interpretability of Deep Learning Models: Addressing the “black box” nature of AI, I investigate the decision-making processes of deep learning models to improve their transparency and reliability for real-world applications.
• Privacy Leakage in Mobile Applications: With the rapid growth of mobile technology, I work on identifying vulnerabilities in mobile apps and devising strategies to protect user data from unauthorized exposure.
• Large Language Models (LLMs) for Malware Detection: I am exploring the integration of LLMs into Android malware detection frameworks, aiming to not only improve detection performance but also advance our theoretical understanding of LLMs in cybersecurity contexts.

I am deeply grateful to Professor Tao Zhang for his exceptional mentorship. His extensive expertise, rigorous academic approach, and unwavering commitment to innovation have been instrumental in shaping my research direction. Professor Tao Zhang’s guidance goes beyond academic advice—his support in refining my research methodology and nurturing my critical thinking has had a profound impact on my development as a researcher. I sincerely appreciate his ongoing encouragement and the invaluable contributions he has made to my academic and professional growth.