Understanding code snippets in code reviews: a preliminary study of the OpenStack community. - Liming Fu; Peng Liang 001; Beiqi Zhang (ICPC, 2022)

Identifying the Impact of User Reviews on App Updates: An Exploratory Study on App Release Notes. - Tianyang Liu 003; Chong Wang 004; Kun Huang; Peng Liang 001; Beiqi Zhang; Maya Daneva (CoRR, 2022)

3D human motion prediction: A survey. - Kedi Lyu; Haipeng Chen 002; Zhenguang Liu; Beiqi Zhang; Ruili Wang (Neurocomputing, 2022)

Practices and Challenges of Using GitHub Copilot: An Empirical Study. - Beiqi Zhang; Peng Liang 001; Xiyu Zhou; Aakash Ahmad; Muhammad Waseem (SEKE, 2023)

Architecture Decisions in AI-based Systems Development: An Empirical Study. - Beiqi Zhang; Tianyang Liu 003; Peng Liang 001; Chong Wang 004; Mojtaba Shahin; Jiaxin Yu (SANER, 2023)

On the Concerns of Developers When Using GitHub Copilot. - Xiyu Zhou; Peng Liang 001; Beiqi Zhang; Zengyang Li; Aakash Ahmad; Mojtaba Shahin; Muhammad Waseem (CoRR, 2023)

Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot. - Beiqi Zhang; Peng Liang 001; Xiyu Zhou; Aakash Ahmad; Muhammad Waseem (Int. J. Softw. Eng. Knowl. Eng., 2023)

RoseMatcher: Identifying the impact of user reviews on app updates. - Tianyang Liu 003; Chong Wang 004; Kun Huang; Peng Liang 001; Beiqi Zhang; Maya Daneva; Marten van Sinderen (Inf. Softw. Technol., 2023)

Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot. - Beiqi Zhang; Peng Liang 001; Qiong Feng; Yujia Fu; Zengyang Li (ASE, 2024)

Copilot Refinement: Addressing Code Smells in Copilot-Generated Python Code. - Beiqi Zhang; Peng Liang 001; Qiong Feng; Yujia Fu; Zengyang Li (CoRR, 2024)

A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection. - Beiqi Zhang; Peng Liang 001; Xin Zhou 014; Xiyu Zhou; David Lo 001; Qiong Feng; Zengyang Li; Lin Li (CoRR, 2024)

Demystifying code snippets in code reviews: a study of the OpenStack and Qt communities and a practitioner survey. - Beiqi Zhang; Liming Fu; Peng Liang 001; Jiaxin Yu; Chong Wang 004 (Empir. Softw. Eng., 2024)

Architecture decisions in quantum software systems: An empirical study on Stack Exchange and GitHub. - Mst Shamima Aktar; Peng Liang 001; Muhammad Waseem; Amjed Tahir; Aakash Ahmad; Beiqi Zhang; Zengyang Li (Inf. Softw. Technol., 2025)

Exploring the problems, their causes and solutions of AI pair programming: A study on GitHub and Stack Overflow. - Xiyu Zhou; Peng Liang 001; Beiqi Zhang; Zengyang Li; Aakash Ahmad; Mojtaba Shahin; Muhammad Waseem (J. Syst. Softw., 2025)

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks. - Xin Zhou 014; Martin Weyssow; Ratnadira Widyasari; Ting Zhang 011; Junda He; Yunbo Lyu; Jianming Chang; Beiqi Zhang; Dan Huang; David Lo 001 (CoRR, 2025)

Using LLMs in Generating Design Rationale for Software Architecture Decisions. - Xiyu Zhou; Ruiyin Li; Peng Liang 001; Beiqi Zhang; Mojtaba Shahin; Zengyang Li; Chen Yang 007 (CoRR, 2025)