معرفی
Yuetian Mao is a Doctoral Candidate and Research Associate at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology (CIT). He holds a Master's degree in Software Engineering from Shanghai Jiao Tong University (2020-2023) and a Bachelor's degree in the same field from the same institution (2016-2020).
His research focuses on Intelligent Software Engineering and Query Refinement, particularly in the application of large language models (LLMs) to code search and optimization tasks. His work addresses challenges in Code Vulnerability Detection, GUI Testing Simulation, and LLM-based Tool Use for software development.
Recent publications analyzed include topics in Code Search, Query Reformulation, HiveQL Anti-patterns, and LLM-enhanced Software Engineering. His research also intersects with Human-Centric AI, Accessibility Testing, and Automated GUI Repair.
Scientific Awards:
- Hypergryph Scholarship (2021.11)
- The First Prize Graduate Study Scholarship (2020.9, 2021.9, 2022.9)
Yuetian is part of the Chair of Software Engineering & AI at TUM's Heilbronn campus, contributing to projects in Model Context Protocols, Generative Engine Optimization, and EU AI Act Compliance research.
