Xiaoyu Zhang

Orcid: 0000-0001-7010-6749

Affiliations:

Xi'an Jiaotong University, School of Cyber Science and Engineering, China

According to our database¹, Xiaoyu Zhang authored at least 21 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Deep Learning Library Testing: Definition, Methods and Challenges.

[BibT_eX]

[DOI]

ACM Comput. Surv., July, 2025

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries.

[BibT_eX]

[DOI]

CoRR, June, 2025

DREAM: Debugging and Repairing AutoML Pipelines.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., May, 2025

Software Development Life Cycle Perspective: A Survey of Benchmarks for Code Large Language Models and Agents.

[BibT_eX]

[DOI]

CoRR, May, 2025

Exposing Product Bias in LLM Investment Recommendation.

[BibT_eX]

[DOI]

CoRR, March, 2025

Unveiling Provider Bias in Large Language Models for Code Generation.

[BibT_eX]

[DOI]

CoRR, January, 2025

An Automated Monitoring and Repairing System for DNN Training.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Seed Selection for Testing Deep Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., January, 2024

COSTELLO: Contrastive Testing for Embedding-Based Large Language Model as a Service Embeddings.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2024

Speculative Coreset Selection for Task-Specific Fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2024

CITADEL: Context Similarity Based Deep Learning Framework Bug Finding.

[BibT_eX]

[DOI]

CoRR, 2024

From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Deep Learning Library Testing Methods.

[BibT_eX]

[DOI]

CoRR, 2024

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One.

[BibT_eX]

[DOI]

CoRR, 2024

DREAM: Debugging and Repairing AutoML Pipelines.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient DNN-Powered Software with Fair Sparse Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection.

[BibT_eX]

[DOI]

CoRR, 2023

2021

AUTOTRAINER: An Automatic DNN Training Problem Detection and Repair System.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Audee: Automated Testing for Deep Learning Frameworks.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Xiaoyu Zhang

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