Boyue Caroline Hu

According to our database, Boyue Caroline Hu authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance.

Huakun Shen, Boyue Caroline Hu, Krzysztof Czarnecki, Lina Marsso, Marsha Chechik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study).

Boyue Caroline Hu, Divya Gopinath, Corina S. Pasareanu, Nina Narodytska, Ravi Mangal, Susmit Jha

Proceedings of the 4th IEEE/ACM International Conference on AI Engineering, 2025

2024

Reliability Analysis of Machine Vision Components in Safety-critical Systems against Human Performance

Boyue Caroline Hu

PhD thesis, 2024

A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks.

Sinclair Hudson, Sophia Jit, Boyue Caroline Hu, Marsha Chechik

CoRR, 2024

Concept-Based Analysis of Neural Networks via Vision-Language Models.

Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu

Proceedings of the AI Verification - First International Symposium, 2024

2023

DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse.

Boyue Caroline Hu, Lina Marsso, Nikita Dvornik, Huakun Shen, Marsha Chechik

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Towards Feature-Based Analysis of the Machine Learning Development Lifecycle.

Boyue Caroline Hu, Marsha Chechik

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2022

What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components.

Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Marsha Chechik

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components.

Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2020

Towards Requirements Specification for Machine-learned Perception Based on Human Performance.

Boyue Caroline Hu, Rick Salay, Krzysztof Czarnecki, Mona Rahimi, Gehan M. K. Selim, Marsha Chechik

Proceedings of the 7th IEEE International Workshop on Artificial Intelligence for Requirements Engineering, 2020

2019

Support for user generated evolutions of goal models.

Boyue Caroline Hu, Alicia M. Grubb

Proceedings of the 11th International Workshop on Modelling in Software Engineerings, 2019