Jinhao Dong

Orcid: 0009-0009-0416-6896

According to our database1, Jinhao Dong authored at least 18 papers between 2019 and 2025.

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Bibliography

2025
MiMo-VL Technical Report.
CoRR, June, 2025

MiMo: Unlocking the Reasoning Potential of Language Model - From Pretraining to Posttraining.
CoRR, May, 2025

SoapFL: A Standard Operating Procedure for LLM-Based Method-Level Fault Localization.
IEEE Trans. Software Eng., April, 2025

Is It Hard to Generate Holistic Commit Message?
ACM Trans. Softw. Eng. Methodol., February, 2025

ConTested: Consistency-Aided Tested Code Generation with LLM.
Proc. ACM Softw. Eng., 2025

2024
ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation.
CoRR, 2024

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.
CoRR, 2024

What can we learn from quality assurance badges in open-source software?
Sci. China Inf. Sci., 2024

Compiler Bug Isolation via Enhanced Test Program Mutation.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Revisiting the Conflict-Resolving Problem from a Semantic Perspective.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023
Merge Conflict Resolution: Classification or Generation?
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Revisiting Learning-based Commit Message Generation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Recommending Good First Issues in GitHub OSS Projects.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Boosting coverage-based fault localization via graph-based representation learning.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020
SRRTA: Regression Testing Acceleration via State Reuse.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Cost-Effective Testing of a Deep Learning Model through Input Reduction.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

2019
MarginGAN: Adversarial Training in Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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