Ali Reza Ibrahimzada

Orcid: 0000-0002-3797-818X

According to our database1, Ali Reza Ibrahimzada authored at least 13 papers between 2020 and 2026.

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

2026
ReCodeAgent: A Multi-Agent Workflow for Language-agnostic Translation and Validation of Large-scale Repositories.
CoRR, April, 2026

2025
Advancing Automated In-Isolation Validation in Repository-Level Code Translation.
CoRR, November, 2025

MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair.
CoRR, September, 2025

AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation.
Proc. ACM Softw. Eng., 2025

Challenging Bug Prediction and Repair Models with Synthetic Bugs.
Proceedings of the 2025 IEEE International Conference on Source Code Analysis & Manipulation, 2025

2024
Repository-Level Compositional Code Translation and Validation.
CoRR, 2024

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Program Decomposition and Translation with Static Analysis.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023
Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning models.
Medical Biol. Eng. Comput., 2023

Automated Bug Generation in the era of Large Language Models.
CoRR, 2023

Understanding the Effectiveness of Large Language Models in Code Translation.
CoRR, 2023

2022
Perfect is the enemy of test oracle.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2020
Scalable classification of organisms into a taxonomy using hierarchical supervised learners.
J. Bioinform. Comput. Biol., 2020


  Loading...