Han Gao

Han Gao is a researcher at the University of Science and Technology of China specializing in binary code analysis and reverse engineering, leveraging machine learning techniques to address challenges in stripped executable understanding.

His research interests include:

• Software Engineering
• Binary Analysis
• Reverse Engineering
• Machine Learning for Software Engineering
• Program Analysis

His publication trend demonstrates a focused application of large-scale pre-training models to infer missing information in stripped binaries, significantly advancing software security and maintenance capabilities for real-world executable analysis.

No scientific awards were mentioned in available sources.

No information is available regarding student advising, research grants, or laboratory team affiliations.