Yan Lei

Yan Lei is a Professor at the School of Big Data & Software Engineering, Chongqing University, China, specializing in software quality improvement through advanced fault localization, program repair, and testing methodologies. His research bridges software engineering with data science to address challenges in deep learning systems and hardware description language (HDL) programs, evidenced by extensive publications in CCF-A venues including ASE, FSE, and TSE.

Dr. Lei obtained his Ph.D. under Prof. Xiaoguang Mao at Chongqing University and conducted research at UC Davis with Prof. Zhendong Su. His educational background informs his interdisciplinary approach to software engineering challenges.

His research focuses on three interconnected pillars:

• Fault Localization and Program Repair: Developing deep learning and metamorphic techniques for precise bug identification and automated repair
• Data Science for SE: Applying representation learning and contrastive methods to software testing challenges
• Testing Deep Learning Systems: Addressing API misuses and error-handling bugs in neural network applications

Analysis of his 2023-2024 publications reveals a strategic shift toward multi-fault scenarios and cross-framework solutions, with increasing emphasis on hardware-aware testing and compilation error repair. His work consistently integrates generative models and semantic learning to overcome data imbalance issues.

His scientific recognition includes:

• ACM SIGSOFT Distinguished Paper Award for coincidental correctness detection research at ASE 2024
• IEEE TCSE Distinguished Paper Award for flaky test prediction at SANER 2024

Dr. Lei directs significant research initiatives including a National Natural Science Foundation project (2023-2026) on multi-fault program repair and previously led a foundational fault localization study (2017-2019). His teaching portfolio spans undergraduate software testing and graduate courses for international students, reflecting commitment to pedagogy. Current projects like Data Fusion for Smart Megalopolis demonstrate applied research impact in Chongqing's technological development.