@article{lan2026history,title={Delving into History: Retrieve Less but Augment More on Commit Message Generation},author={Lan, Peng and Liu, Jiakun and Zhong, Xinyu and Gui, Ning and Bao, Lingfeng and Lo, David and Liao, Zhifang},journal={ACM Transactions on Software Engineering and Methodology},year={2026},doi={10.1145/3794857},}
TOSEM
Code Refinement with Repository Context: How Far are We?
Ke Wang, Peng Lan, Jiakun Liu, Shengbing Ren, Lingfeng Bao, Junxiao Han, David Lo, and Zhifang Liao
ACM Transactions on Software Engineering and Methodology, 2026
@article{wang2026refinement,title={Code Refinement with Repository Context: How Far are We?},author={Wang, Ke and Lan, Peng and Liu, Jiakun and Ren, Shengbing and Bao, Lingfeng and Han, Junxiao and Lo, David and Liao, Zhifang},journal={ACM Transactions on Software Engineering and Methodology},year={2026},doi={10.1145/3820059},}
ACL Findings
Learning from Failures: Error Notebook-guided Secure Code Generation
Xinyu Zhong, Peng Lan, and Zhifang Liao
In Findings of the Association for Computational Linguistics: ACL 2026, 2026
@inproceedings{zhong2026failures,title={Learning from Failures: Error Notebook-guided Secure Code Generation},author={Zhong, Xinyu and Lan, Peng and Liao, Zhifang},booktitle={Findings of the Association for Computational Linguistics: ACL 2026},pages={23978--23990},year={2026},publisher={Association for Computational Linguistics},doi={10.18653/v1/2026.findings-acl.1200},}
2025
ICPC
Cmdesum: A Cross-Modal Deliberation Network for Code Summarization
Zhifang Liao, Xiaoyu Liu, Peng Lan, Song Yu, and Pei Liu
In 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC), 2025
@inproceedings{liao2025cmdesum,title={Cmdesum: A Cross-Modal Deliberation Network for Code Summarization},author={Liao, Zhifang and Liu, Xiaoyu and Lan, Peng and Yu, Song and Liu, Pei},booktitle={2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC)},pages={250--261},year={2025},doi={10.1109/ICPC66645.2025.00034},}
2024
APSEC
Exploring the Potential of Large Language Models in Automatic Pull Request Title Generation: An Empirical Study
Yitao Zuo, Peng Lan, and Zhifang Liao
In 2024 31st Asia-Pacific Software Engineering Conference (APSEC), 2024
@inproceedings{zuo2024pullrequest,title={Exploring the Potential of Large Language Models in Automatic Pull Request Title Generation: An Empirical Study},author={Zuo, Yitao and Lan, Peng and Liao, Zhifang},booktitle={2024 31st Asia-Pacific Software Engineering Conference (APSEC)},pages={191--200},year={2024},publisher={IEEE},doi={10.1109/APSEC65559.2024.00030},}