Lina Gong

Lina Gong is an Associate Professor at the School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China. She holds a Ph.D. in Computer Software and Theory from China University of Mining and Technology (2020) and completed a research visit at Queen's University's Software Analysis and Intelligence Lab (SAIL) under Prof. Ahmed Hassan (2019-2020).

Her research focuses on leveraging machine learning to extract insights from software repositories, with emphasis on:

• ML-enabled defect prediction techniques
• Code pre-trained models for vulnerability detection
• Identifier normalization and issue classification
• Empirical studies of software quality attributes

Her recent publications (2023-2025) demonstrate strong trends in applying transformer architectures to code analysis, with increasing focus on supply chain security and cross-platform UI translation. Key venues include IEEE TSE, ACM TOSEM, and ASE.

Scientific recognition includes:

• National Natural Science Foundation of China (2022-2025)
• Natural Science Foundation of Jiangsu Province (2022-2025)
• Key National Laboratory Foundation (2022-2023)
• Excellent Ph.D. Student Award (CUMT)

She actively mentors graduate students (14 advisees: 1 doctoral, 13 master's) and serves on program committees for ASE, APSEC, and SANER. Her research is supported by multiple competitive grants focusing on ML applications in software engineering.