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ORCIDKai Gao 0008
Person information
- affiliation: University of Science and Technology Beijing, China
Other persons with the same name
- Kai Gao — disambiguation page
- Kai Gao 0001
![[0000-0002-2037-4427]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2037-4427")
— Sichuan University, College of Cybersecurity, Chengdu, China (and 1 more) - Kai Gao 0002 — un Yat-sen University, Zhongshan Ophthalmic Center, Guangzhou, China
- Kai Gao 0003 — Chinese Academy of Sciences, Northwest Institute of Eco-Environment and Resources, Lanzhou, China
- Kai Gao 0004 — Feng Chia University, Department of Information Engineering and Computer Science, Taichung, Taiwan
- Kai Gao 0005 — Los Alamos National Laboratory, Earth and Environmental Sciences Divisionm NM, USA (and 1 more)
- Kai Gao 0006 — Hebei University of Science and Technology, School of Information Science and Engineering, Shijiazhuang, China (and 1 more)
- Kai Gao 0007 — Huawei Beijing Research Institute, HI-SILICON Laboratory, China (and 1 more)
- Kai Gao 0009 — Tongji University, Department of Control Science and Engineering, Shanghai, China
- Kai Gao 0010 — Changsha University of Science and Technology, College of Automotive and Mechanical Engineering, China (and 1 more)
- Kai Gao 0011 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China
- Kai Gao 0012 — Northwestern Polytechnical University, School of Automation, Xi'an, China
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2020 – today
- 2026
[j5]Jianyu Wu, Hao He, Kai Gao, Wenxin Xiao, Jingyue Li, Minghui Zhou:
Correction to: A comprehensive analysis of challenges and strategies for software release notes on github. Empir. Softw. Eng. 31(4): 86 (2026)- 2025
- [c6]Weiwei Xu, Kai Gao, Hao He, Minghui Zhou:
Licoeval: Evaluating LLMs on License Compliance in Code Generation. ICSE 2025: 1665-1677 - [c5]Guofeng Zeng, Chang-Ai Sun, Kai Gao, Huai Liu:
DiffFix: Incrementally Fixing AST Diffs via Context and Type Information. ASE 2025: 2882-2893 - 2024
- [j4]Jianyu Wu, Hao He, Kai Gao, Wenxin Xiao, Jingyue Li, Minghui Zhou:
A comprehensive analysis of challenges and strategies for software release notes on GitHub. Empir. Softw. Eng. 29(5): 104 (2024) - [j3]Kai Gao, Weiwei Xu, Wenhao Yang, Minghui Zhou:
PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages. Proc. ACM Softw. Eng. 1(FSE): 2608-2631 (2024) - [j2]Kai Gao, Runzhi He, Bing Xie, Minghui Zhou:
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement. ACM Trans. Softw. Eng. Methodol. 33(4): 97:1-97:27 (2024) - [i5]Kai Gao, Weiwei Xu, Wenhao Yang, Minghui Zhou:
PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages. CoRR abs/2404.16565 (2024) - [i4]Weiwei Xu, Kai Gao, Hao He, Minghui Zhou:
A First Look at License Compliance Capability of LLMs in Code Generation. CoRR abs/2408.02487 (2024) - 2023
- [j1]Kai Gao, Zhixing Wang, Audris Mockus, Minghui Zhou:
On the Variability of Software Engineering Needs for Deep Learning: Stages, Trends, and Application Types. IEEE Trans. Software Eng. 49(2): 760-776 (2023) - [c4]Weiwei Xu, Hao He, Kai Gao, Minghui Zhou:
Understanding and Remediating Open-Source License Incompatibilities in the PyPI Ecosystem. ASE 2023: 178-190 - [c3]Jianyu Wu, Weiwei Xu, Kai Gao, Jingyue Li, Minghui Zhou:
Characterize Software Release Notes of GitHub Projects: Structure, Writing Style, and Content. SANER 2023: 473-484 - [d1]Kai Gao:
Mongodb Database dump for TOSEM submission "Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement". Zenodo, 2023
- [i3]Kai Gao, Runzhi He, Bing Xie, Minghui Zhou:
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement. CoRR abs/2306.16307 (2023) - [i2]Weiwei Xu, Hao He, Kai Gao, Minghui Zhou:
Understanding and Remediating Open-Source License Incompatibilities in the PyPI Ecosystem. CoRR abs/2308.05942 (2023) - 2022
- [c2]Xin Tan, Kai Gao, Minghui Zhou, Li Zhang:
An Exploratory Study of Deep learning Supply Chain. ICSE 2022: 86-98 - [c1]Jianyu Wu, Hao He, Wenxin Xiao, Kai Gao, Minghui Zhou:
Demystifying software release note issues on GitHub. ICPC 2022: 602-613 - [i1]Jianyu Wu, Hao He, Wenxin Xiao, Kai Gao, Minghui Zhou:
Demystifying Software Release Note Issues on GitHub. CoRR abs/2203.15592 (2022)
Coauthor Index
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