| A Comprehensive Study on Deep Learning Bug Characteristics MJ Islam, G Nguyen, R Pan, H Rajan ESEC/FSE'19: The ACM Joint European Software Engineering Conference and …, 2019 | 339 | 2019 |
| Lost in translation: A study of bugs introduced by large language models while translating code R Pan, AR Ibrahimzada, R Krishna, D Sankar, LP Wassi, M Merler, ... Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 143* | 2024 |
| Repairing deep neural networks: Fix patterns and challenges MJ Islam, R Pan, G Nguyen, H Rajan Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 140 | 2020 |
| On Decomposing a Deep Neural Network into Modules R Pan, H Rajan Proceedings of the 2020 28th ACM Joint Meeting on European Software …, 2020 | 49 | 2020 |
| What do developers ask about ml libraries? a large-scale study using stack overflow MJ Islam, HA Nguyen, R Pan, H Rajan arXiv preprint arXiv:1906.11940, 2019 | 41 | 2019 |
| Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis R Pan, V Le, N Nagappan, S Gulwani, S Lahiri, M Kaufman 2021 IEEE/ACM 43nd International Conference on Software Engineering (ICSE), 2021 | 39 | 2021 |
| Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules R Pan, H Rajan 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022 | 35 | 2022 |
| Manas: Mining Software Repositories to Assist AutoML G Nguyen, J Islam, R Pan, H Rajan 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022 | 20 | 2022 |
| Repairing deep neural networks: Fix patterns and challenges. In 2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE) MJ Islam, R Pan, G Nguyen, H Rajan IEEE, 2020 | 17 | 2020 |
| ASTER: Natural and Multi-language Unit Test Generation with LLMs R Pan, M Kim, R Krishna, R Pavuluri, S Sinha Proceedings of the IEEE/ACM 47th International Conference on Software …, 2025 | 16* | 2025 |
| Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement SM Imtiaz, F Batole, A Singh, R Pan, BD Cruz, H Rajan 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2023 | 12 | 2023 |
| Identifying classes susceptible to adversarial attacks R Pan, MJ Islam, S Ahmed, H Rajan arXiv preprint arXiv:1905.13284, 2019 | 12 | 2019 |
| What do developers ask about ML libraries MJ Islam, HA Nguyen, R Pan, H Rajan A Large-scale Study Using Stack Overflow. arXiv, 1906 | 8 | 1906 |
| Repository-level compositional code translation and validation AR Ibrahimzada, K Ke, M Pawagi, MS Abid, R Pan, S Sinha, ... arXiv preprint arXiv:2410.24117, 2024 | 5 | 2024 |
| Does fixing bug increase robustness in deep learning? R Pan Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 5 | 2020 |
| Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE … SM Imtiaz, F Batole, A Singh, R Pan, BD Cruz, H Rajan | 4 | 2023 |
| Static deep neural network analysis for robustness R Pan Proceedings of the 2019 27th ACM Joint meeting on european software …, 2019 | 4 | 2019 |
| TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved? T Ahmed, M Hirzel, R Pan, A Shinnar, S Sinha arXiv preprint arXiv:2412.02883, 2024 | 2 | 2024 |
| Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights R Krishna, R Pan, R Pavuluri, S Tamilselvam, M Vukovic, S Sinha arXiv preprint arXiv:2410.13007, 2024 | 2 | 2024 |
| Granite 3.0 Language Models IBM Granite Team | 2 | 2024 |
Hridesh RajanDean, Tulane University School of Science and Engineeringacm.org üzerinde doğrulanmış e-posta adresine sahip