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2020 – today
- 2024
[c7]Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu:
Concept-Based Analysis of Neural Networks via Vision-Language Models. SAIV 2024: 49-77- [i4]Huakun Shen, Boyue Caroline Hu, Krzysztof Czarnecki, Lina Marsso, Marsha Chechik:
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance. CoRR abs/2402.19401 (2024) - [i3]Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu:
Concept-based Analysis of Neural Networks via Vision-Language Models. CoRR abs/2403.19837 (2024) - [i2]Sinclair Hudson, Sophia Jit, Boyue Caroline Hu, Marsha Chechik:
A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks. CoRR abs/2406.08216 (2024) - 2023
- [c6]Boyue Caroline Hu
, Lina Marsso, Nikita Dvornik, Huakun Shen, Marsha Chechik:
DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse. ESEC/SIGSOFT FSE 2023: 541-552 - [c5]Boyue Caroline Hu, Marsha Chechik:
Towards Feature-Based Analysis of the Machine Learning Development Lifecycle. ESEC/SIGSOFT FSE 2023: 2087-2091 - [e1]Marsha Chechik, Sebastian G. Elbaum, Boyue Caroline Hu, Lina Marsso, Meriel von Stein:
Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, SE4SafeML 2023, San Francisco, CA, USA, 4 December 2023. ACM 2023 [contents] - 2022
- [c4]Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik:
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. ICSE 2022: 1145-1156 - [c3]Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Marsha Chechik:
What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components. ISSRE 2022: 49-60 - [i1]Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik:
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. CoRR abs/2202.03930 (2022) - 2020
- [c2]Boyue Caroline Hu, Rick Salay, Krzysztof Czarnecki, Mona Rahimi, Gehan M. K. Selim, Marsha Chechik:
Towards Requirements Specification for Machine-learned Perception Based on Human Performance. AIRE@RE 2020: 48-51
2010 – 2019
- 2019
- [c1]Boyue Caroline Hu, Alicia M. Grubb:
Support for user generated evolutions of goal models. MiSE@ICSE 2019: 1-7
Coauthor Index
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