Yangruibo Ding

Orcid: 0000-0003-3224-6876

According to our database1, Yangruibo Ding authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Automated Code Editing With Search-Generate-Modify.
IEEE Trans. Software Eng., July, 2024

CYCLE: Learning to Self-Refine the Code Generation.
Proc. ACM Program. Lang., 2024

SemCoder: Training Code Language Models with Comprehensive Semantics.
CoRR, 2024

Vulnerability Detection with Code Language Models: How Far Are We?
CoRR, 2024

TRACED: Execution-aware Pre-training for Source Code.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
TraceFixer: Execution Trace-Driven Program Repair.
CoRR, 2023

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CONCORD: Clone-Aware Contrastive Learning for Source Code.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022
Deep Learning Based Vulnerability Detection: Are We There Yet?
IEEE Trans. Software Eng., 2022

CODIT: Code Editing With Tree-Based Neural Models.
IEEE Trans. Software Eng., 2022

VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements.
Proceedings of the IEEE International Conference on Software Analysis, 2022

NatGen: generative pre-training by "naturalizing" source code.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Towards Learning (Dis)-Similarity of Source Code from Program Contrasts.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Contrastive Learning for Source Code with Structural and Functional Properties.
CoRR, 2021

2020
Patching as Translation: the Data and the Metaphor.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020


  Loading...