Yanhui Li

Yanhui Li is an Assistant Professor at the Software Institute of Nanjing University, specializing in AI software testing and empirical software engineering. Holding a PhD from Southeast University, he actively contributes to both research and teaching in software engineering for AI systems.

• Institution: Nanjing University, Software Institute
• Academic Rank: Assistant Professor
• Teaching: Discrete Mathematics (2023-2025), Data Structure and Financial Algorithm (2016-2024), Advanced Algorithm (2024-2025)

His research focuses on AI Testing and Debugging, Mutation Testing, and Empirical Software Engineering with applications in deep learning systems. Key areas include developing testing methodologies for machine learning fairness, word sense disambiguation models, and natural language inference systems. His work bridges theoretical formal methods with practical software analysis techniques to improve AI system reliability.

Analysis of recent publications (2023-2025) reveals strong emphasis on testing deep learning components (40% of works), mutation testing adaptations (25%), and empirical studies of software engineering practices (20%). His research increasingly integrates causal analysis with traditional testing techniques, particularly for fairness evaluation in ML systems.

• 2019 Nanjing University 'Most Loved Teacher' Award (top 9 university-wide)
• 2020 Nanjing University 'Most Loved Teacher' Award (top 7 university-wide)
• 2022 & 2024 'Best Course' recognition for Data Structure and Financial Algorithm

Dr. Li actively advises students and leads multiple research projects including National Natural Science Foundation funding for 'Semantic based testing data efficacy measurement for deep learning models'. His group recruits PhD and master's students specializing in AI software engineering, with emphasis on testing/debugging AI systems and empirical studies of AI development practices. Current projects include model-based code generation with Nanjing University of Aeronautics and Astronautics and Huawei-funded research on mixed-language programming environments.