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2020 – today
- 2025
[j6]Mst Shamima Aktar, Peng Liang
, Muhammad Waseem, Amjed Tahir, Aakash Ahmad, Beiqi Zhang, Zengyang Li:
Architecture decisions in quantum software systems: An empirical study on Stack Exchange and GitHub. Inf. Softw. Technol. 177: 107587 (2025)- [j5]Xiyu Zhou, Peng Liang, Beiqi Zhang, Zengyang Li, Aakash Ahmad, Mojtaba Shahin, Muhammad Waseem:
Exploring the problems, their causes and solutions of AI pair programming: A study on GitHub and Stack Overflow. J. Syst. Softw. 219: 112204 (2025) - 2024
- [j4]Beiqi Zhang, Liming Fu, Peng Liang, Jiaxin Yu, Chong Wang:
Demystifying code snippets in code reviews: a study of the OpenStack and Qt communities and a practitioner survey. Empir. Softw. Eng. 29(4): 78 (2024) - [c4]Beiqi Zhang, Peng Liang, Qiong Feng, Yujia Fu, Zengyang Li:
Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot. ASE 2024: 2230-2234 - [i11]Beiqi Zhang, Peng Liang, Qiong Feng, Yujia Fu, Zengyang Li:
Copilot Refinement: Addressing Code Smells in Copilot-Generated Python Code. CoRR abs/2401.14176 (2024) - [i10]Beiqi Zhang, Peng Liang, Xin Zhou, Xiyu Zhou, David Lo, Qiong Feng, Zengyang Li, Lin Li:
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection. CoRR abs/2412.13801 (2024) - 2023
- [j3]Beiqi Zhang, Peng Liang, Xiyu Zhou, Aakash Ahmad, Muhammad Waseem:
Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot. Int. J. Softw. Eng. Knowl. Eng. 33(11&12): 1653-1672 (2023) - [j2]Tianyang Liu, Chong Wang, Kun Huang, Peng Liang, Beiqi Zhang, Maya Daneva, Marten van Sinderen:
RoseMatcher: Identifying the impact of user reviews on app updates. Inf. Softw. Technol. 161: 107261 (2023) - [c3]Beiqi Zhang, Peng Liang, Xiyu Zhou, Aakash Ahmad, Muhammad Waseem:
Practices and Challenges of Using GitHub Copilot: An Empirical Study. SEKE 2023: 124-129 - [c2]Beiqi Zhang, Tianyang Liu, Peng Liang, Chong Wang, Mojtaba Shahin, Jiaxin Yu:
Architecture Decisions in AI-based Systems Development: An Empirical Study. SANER 2023: 616-626 - [i9]Beiqi Zhang, Peng Liang, Xiyu Zhou, Aakash Ahmad, Muhammad Waseem:
Practices and Challenges of Using GitHub Copilot: An Empirical Study. CoRR abs/2303.08733 (2023) - [i8]Beiqi Zhang, Liming Fu, Peng Liang, Jiaxin Yu, Chong Wang:
Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and Qt Communities and A Practitioner Survey. CoRR abs/2307.14406 (2023) - [i7]Beiqi Zhang, Peng Liang, Xiyu Zhou, Aakash Ahmad, Muhammad Waseem:
Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot. CoRR abs/2309.05687 (2023) - [i6]Xiyu Zhou, Peng Liang, Beiqi Zhang, Zengyang Li, Aakash Ahmad, Mojtaba Shahin, Muhammad Waseem:
On the Concerns of Developers When Using GitHub Copilot. CoRR abs/2311.01020 (2023) - [i5]Mst Shamima Aktar, Peng Liang, Muhammad Waseem, Amjed Tahir, Aakash Ahmad, Beiqi Zhang, Zengyang Li:
Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub. CoRR abs/2312.05421 (2023) - 2022
- [j1]Kedi Lyu, Haipeng Chen, Zhenguang Liu, Beiqi Zhang, Ruili Wang:
3D human motion prediction: A survey. Neurocomputing 489: 345-365 (2022) - [c1]Liming Fu, Peng Liang, Beiqi Zhang:
Understanding code snippets in code reviews: a preliminary study of the OpenStack community. ICPC 2022: 152-156 - [i4]Kedi Lyu, Haipeng Chen, Zhenguang Liu, Beiqi Zhang, Ruili Wang:
3D Human Motion Prediction: A Survey. CoRR abs/2203.01593 (2022) - [i3]Liming Fu, Peng Liang, Beiqi Zhang:
Understanding Code Snippets in Code Reviews: A Preliminary Study of the OpenStack Community. CoRR abs/2203.15577 (2022) - [i2]Tianyang Liu, Chong Wang, Kun Huang, Peng Liang, Beiqi Zhang, Maya Daneva:
Identifying the Impact of User Reviews on App Updates: An Exploratory Study on App Release Notes. CoRR abs/2210.10223 (2022) - [i1]Beiqi Zhang, Tianyang Liu, Peng Liang, Chong Wang, Mojtaba Shahin, Jiaxin Yu:
Architecture Decisions in AI-based Systems Development: An Empirical Study. CoRR abs/2212.13866 (2022)
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