Scholar
Yongqiang Tian
Google Scholar ID: 51iYgNAAAAAJ
Monash University
Citations & Impact
Citations
787
H-index
13
i10-index
18
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Publications in top venues including ICSE, TOSEM, ISSTA, OOPSLA, FSE, ASPLOS, IJCAI, EmSE, etc., such as:
- - 'Optimization-Aware Test Generation for Deep Learning Compilers' (ICSE'26)
- - 'Bounded Exhaustive Random Program Generation for Testing Solidity Compilers' (ICSE'26)
- - 'Latra: A Template-Based Language-Agnostic Transformation Framework for Effective Program Reduction' (ASE'25)
- - 'Boosting Program Reduction with the Missing Piece of Syntax-Guided Transformations' (OOPSLA'25)
- - 'An Empirical Study of Bugs in Data Visualization Libraries' (FSE'25)
- - Multiple papers on delta debugging (ICSE'25).
- Service: Information Director of ACM SIGSOFT (since 2024); PC member for ASE'25, ISSRE'25, etc.; reviewer for TOSEM, TSE, TDSC, EmSE; Artifact Evaluation Committee member for OOPSLA'25, FSE'24, PLDI'24, etc.
- Awards: MSCA Postdoctoral Fellowship (2025); ACM SIGSOFT CAPS (2024); ASPLOS'23 Student Travel Grant (2023); GO-Bell Scholarship, University of Waterloo (2020–2022).
Background
- Currently a researcher in software engineering at Monash University.
- Research interests focus on software testing and debugging.
- Interested in two core questions: What properties of software should be tested but have not been studied? How can software be effectively and efficiently tested and debugged with respect to such properties?
- Conducts systematic empirical studies and proposes novel automated techniques to address these questions.
- Research spans domains including deep learning compilers/frameworks/models, C/C++/Solidity compilers, and data visualization libraries.
