Boyue Caroline Hu

16 papers A* 1A 2B 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance.
WACV
Huakun Shen, Boyue Caroline Hu, Krzysztof Czarnecki, Lina Marsso, Marsha Chechik
2025 B conf
Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study).
CAIN
Boyue Caroline Hu, Divya Gopinath, Corina S. Pasareanu, Nina Narodytska, Ravi Mangal, Susmit Jha
2025 J jnl
Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study).
CoRR
Boyue Caroline Hu, Divya Gopinath, Corina S. Pasareanu, Nina Narodytska, Ravi Mangal, Susmit Jha
2024 J jnl
A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks.
CoRR
Sinclair Hudson, Sophia Jit, Boyue Caroline Hu, Marsha Chechik
2024 J jnl
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance.
CoRR
Huakun Shen, Boyue Caroline Hu, Krzysztof Czarnecki, Lina Marsso, Marsha Chechik
2024 — conf
Concept-Based Analysis of Neural Networks via Vision-Language Models.
SAIV
Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu
2024 J jnl
Concept-based Analysis of Neural Networks via Vision-Language Models.
CoRR
Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu
2024 — —
Reliability Analysis of Machine Vision Components in Safety-critical Systems against Human Performance
Boyue Caroline Hu
2023 — conf
DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse.
ESEC/SIGSOFT FSE
Boyue Caroline Hu, Lina Marsso, Nikita Dvornik, Huakun Shen, Marsha Chechik
2023 — ed.
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
SE4SafeML@SIGSOFT FSE
Marsha Chechik, Sebastian G. Elbaum, Boyue Caroline Hu, Lina Marsso, Meriel von Stein
2023 — conf
Towards Feature-Based Analysis of the Machine Learning Development Lifecycle.
ESEC/SIGSOFT FSE
Boyue Caroline Hu, Marsha Chechik
2022 A* conf
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components.
ICSE
Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik
2022 J jnl
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components.
CoRR
Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik
2022 A conf
What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components.
ISSRE
Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Marsha Chechik
2020 — conf
Towards Requirements Specification for Machine-learned Perception Based on Human Performance.
AIRE@RE
Boyue Caroline Hu, Rick Salay, Krzysztof Czarnecki, Mona Rahimi, Gehan M. K. Selim, Marsha Chechik
2019 — conf
Support for user generated evolutions of goal models.
MiSE@ICSE
Boyue Caroline Hu, Alicia M. Grubb