Kai Gao

According to our database, Kai Gao authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Correction to: A comprehensive analysis of challenges and strategies for software release notes on github.

Jianyu Wu, Hao He, Kai Gao, Wenxin Xiao, Jingyue Li, Minghui Zhou

Empir. Softw. Eng., July, 2026

A governance horizon for ethical-use constraints in open-weight AI models.

Weiwei Xu, Hengzhi Ye, Haoran Ye, Kai Gao, Vladimir Filkov, Minghui Zhou

CoRR, May, 2026

Understanding Bugs in Template Engine-Based Applications: Symptoms, Root Causes, and Fix Patterns.

Kai Gao, Yu Sun, Chang-Ai Sun

CoRR, April, 2026

2025

DiffFix: Incrementally Fixing AST Diffs via Context and Type Information.

Guofeng Zeng, Chang-Ai Sun, Kai Gao, Huai Liu

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Licoeval: Evaluating LLMs on License Compliance in Code Generation.

Weiwei Xu, Kai Gao, Hao He, Minghui Zhou

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

A comprehensive analysis of challenges and strategies for software release notes on GitHub.

Jianyu Wu, Hao He, Kai Gao, Wenxin Xiao, Jingyue Li, Minghui Zhou

Empir. Softw. Eng., September, 2024

Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement.

Kai Gao, Runzhi He, Bing Xie, Minghui Zhou

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

PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages.

Kai Gao, Weiwei Xu, Wenhao Yang, Minghui Zhou

Proc. ACM Softw. Eng., 2024

A First Look at License Compliance Capability of LLMs in Code Generation.

Weiwei Xu, Kai Gao, Hao He, Minghui Zhou

CoRR, 2024

2023

Mongodb Database dump for TOSEM submission "Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement".

Kai Gao

Dataset, June, 2023

On the Variability of Software Engineering Needs for Deep Learning: Stages, Trends, and Application Types.

Kai Gao, Zhixing Wang, Audris Mockus, Minghui Zhou

IEEE Trans. Software Eng., February, 2023

Characterize Software Release Notes of GitHub Projects: Structure, Writing Style, and Content.

Jianyu Wu, Weiwei Xu, Kai Gao, Jingyue Li, Minghui Zhou

Proceedings of the IEEE International Conference on Software Analysis, 2023

Understanding and Remediating Open-Source License Incompatibilities in the PyPI Ecosystem.

Weiwei Xu, Hao He, Kai Gao, Minghui Zhou

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

Demystifying software release note issues on GitHub.

Jianyu Wu, Hao He, Wenxin Xiao, Kai Gao, Minghui Zhou

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

An Exploratory Study of Deep learning Supply Chain.

Xin Tan, Kai Gao, Minghui Zhou, Li Zhang

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