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Rangeet Pan
Rangeet Pan
Research Staff Member, IBM Research, Yorktown Heights
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
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
2672019
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
1152020
On Decomposing a Deep Neural Network into Modules
R Pan, H Rajan
Proceedings of the 2020 28th ACM Joint Meeting on European Software …, 2020
332020
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
332019
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
302021
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules
R Pan, H Rajan
2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022
222022
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, ...
2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2024
16*2024
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
162020
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
152022
Identifying classes susceptible to adversarial attacks
R Pan, MJ Islam, S Ahmed, H Rajan
arXiv preprint arXiv:1905.13284, 2019
112019
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
52023
What Do Developers Ask About ML Libraries
MJ Islam, HA Nguyen, R Pan, H Rajan
A Large-scale Study Using Stack Overflow. arXiv, 1906
51906
Does fixing bug increase robustness in deep learning?
R Pan
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
42020
Static deep neural network analysis for robustness
R Pan
Proceedings of the 2019 27th ACM Joint meeting on european software …, 2019
42019
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, ...
2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE …, 2024
22024
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
22023
A benchmark for bugs and fix patterns for deep neural networks
MJ Islam, R Pan, G Nguyen, H Rajan
22020
A comprehensive study on deep learning bug characteristics, 2019
MJ Islam, G Nguyen, R Pan, H Rajan
Google Scholar Google Scholar Digital Library Digital Library, 0
2
An empirical study on the bugs found while reusing pre-trained natural language processing models
R Pan, S Biswas, M Chakraborty, BD Cruz, H Rajan
arXiv preprint arXiv:2212.00105, 2022
12022
Towards Supporting Universal Static Analysis using WALA
R Krishna, R Pavuluri, S Sinha, D Sankar, J Dolby, R Pan
ACM SIGPLAN Conference on Programming Language Design and Implementation, 2023
2023
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Articles 1–20