A large-scale empirical study on Java library migrations: prevalence, trends, and rationales. - Hao He 012; Runzhi He; Haiqiao Gu; Minghui Zhou 001 (ESEC/SIGSOFT FSE, 2021)

GFI-bot: automated good first issue recommendation on GitHub. - Hao He 012; Haonan Su; Wenxin Xiao; Runzhi He; Minghui Zhou 001 (ESEC/SIGSOFT FSE, 2022)

LicenseRec: Knowledge based Open Source License Recommendation for OSS Projects. - Weiwei Xu; Xin Wu; Runzhi He; Minghui Zhou 001 (ICSE Companion, 2023)

Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot. - Runzhi He; Hao He 012; Yuxia Zhang; Minghui Zhou 001 (IEEE Trans. Software Eng., 2023)

Revealing the value of Repository Centrality in lifespan prediction of Open Source Software Projects. - Runzhi He; Hengzhi Ye; Minghui Zhou (CoRR, 2024)

Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers. - Cailean Osborne; Farbod Daneshyan; Runzhi He; Hengzhi Ye; Yuxia Zhang; Minghui Zhou (CoRR, 2024)

Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement. - Kai Gao 008; Runzhi He; Bing Xie; Minghui Zhou 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers. - Cailean Osborne; Farbod Daneshyan; Runzhi He; Hengzhi Ye; Yuxia Zhang; Minghui Zhou 001 (Proc. ACM Hum. Comput. Interact., 2025)

SmartNote: An LLM-Powered, Personalised Release Note Generator That Just Works. - Farbod Daneshyan; Runzhi He; Jianyu Wu; Minghui Zhou 001 (Proc. ACM Softw. Eng., 2025)

SmartNote: An LLM-Powered, Personalised Release Note Generator That Just Works. - Farbod Daneshyan; Runzhi He; Jianyu Wu; Minghui Zhou (CoRR, 2025)

Predicting Maintenance Cessation of Open Source Software Repositories with An Integrated Feature Framework. - Yiming Xu; Runzhi He; Hengzhi Ye; Minghui Zhou; Huaimin Wang (CoRR, 2025)