Shan Gao

Orcid: 0009-0006-2695-2968

Affiliations:

Huawei, Hangzhou, China

According to our database¹, Shan Gao authored at least 9 papers between 2024 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Clean Code, Better Models: Enhancing LLM Performance with Smell-Cleaned Dataset.

[BibT_eX]

[DOI]

CoRR, August, 2025

The Current Challenges of Software Engineering in the Era of Large Language Models.

[BibT_eX]

[DOI]

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

Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews.

[BibT_eX]

[DOI]

Empir. Softw. Eng., June, 2025

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation.

[BibT_eX]

[DOI]

CoRR, January, 2025

Less Is More: On the Importance of Data Quality for Unit Test Generation.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2025

2024

A preliminary investigation on using multi-task learning to predict change performance in code reviews.

[BibT_eX]

[DOI]

Empir. Softw. Eng., November, 2024

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Mining Pull Requests to Detect Process Anomalies in Open Source Software Development.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Shan Gao

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