Ming Yan is an author at Tianjin University specializing in machine learning, engineering, and data science.
Top concepts
EngineeringMachine LearningData ScienceDeep LearningComputer ScienceSoftware TestingAdversarial Machine LearningProgram AnalysisSoftware AnalysisComputer Engineering
Publications per year
2020–2023
6
6
Deep learning library testing via effective model generation
Zan Wang, Ming Yan, Junjie Chen et al. · 2020 · 149 citations
Exposing numerical bugs in deep learning via gradient back-propagation
Ming Yan, Junjie Chen, Xiangyu Zhang et al. · 2021 · 47 citations
Stratified random sampling for neural network test input selection
Zhuo Wu, Zan Wang, Junjie Chen et al. · Information and Software Technology · 2023 · 21 citations
Deep Neural Network Test Coverage: How Far Are We?
Junjie Chen, Ming Yan, Zan Wang et al. · arXiv (Cornell University) · 2020 · 18 citations · Full text
Artificial Intelligence, Test Coverage Metrics, Machine Learning +15
Rows per page
1–5 of 6