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2020 – today
- 2024
[j1]Feng Li, Yiling Lou, Xin Tan, Zhenpeng Chen, Jinhao Dong, Yang Li, Xuanzhi Wang, Dan Hao, Lu Zhang:
What can we learn from quality assurance badges in open-source software? Sci. China Inf. Sci. 67(4) (2024)- [i1]Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao:
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. CoRR abs/2403.16362 (2024) - 2023
- [c8]Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan:
Revisiting Learning-based Commit Message Generation. ICSE 2023: 794-805 - [c7]Jinhao Dong, Qihao Zhu, Zeyu Sun, Yiling Lou, Dan Hao:
Merge Conflict Resolution: Classification or Generation? ASE 2023: 1652-1663 - 2022
- [c6]Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, Dan Hao:
FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation. ICSE 2022: 970-981 - [c5]Wenxin Xiao, Hao He, Weiwei Xu, Xin Tan, Jinhao Dong, Minghui Zhou:
Recommending Good First Issues in GitHub OSS Projects. ICSE 2022: 1830-1842 - 2021
- [c4]Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao
, Lu Zhang, Lingming Zhang:
Boosting coverage-based fault localization via graph-based representation learning. ESEC/SIGSOFT FSE 2021: 664-676 - 2020
- [c3]Jianyi Zhou, Feng Li, Jinhao Dong, Hongyu Zhang, Dan Hao:
Cost-Effective Testing of a Deep Learning Model through Input Reduction. ISSRE 2020: 289-300 - [c2]Jinhao Dong, Yiling Lou, Dan Hao:
SRRTA: Regression Testing Acceleration via State Reuse. ASE 2020: 1244-1248
2010 – 2019
- 2019
- [c1]Jinhao Dong, Tong Lin:
MarginGAN: Adversarial Training in Semi-Supervised Learning. NeurIPS 2019: 10440-10449
Coauthor Index
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