Rangeet Pan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Training Patterns

Conflict Resolution

Top Venues

ESEC/SIGSOFT FSE

ICSE (Companion Volume)

Publications

Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. ICSE (2024)
Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. ICSE (2023)
Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand
Understanding the Effectiveness of Large Language Models in Code Translation. CoRR (2023)
Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. CoRR (2022)
Giang Nguyen, Md Johirul Islam, Rangeet Pan, Hridesh Rajan
Manas: Mining Software Repositories to Assist AutoML. ICSE (2022)
Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. CoRR (2022)
Rangeet Pan, Hridesh Rajan
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules. ICSE (2022)
Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. CoRR (2021)
Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. ICSE (2021)
Rangeet Pan, Hridesh Rajan
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules. CoRR (2021)
Giang Nguyen, Johir Islam, Rangeet Pan, Hridesh Rajan
Manas: Mining Software Repositories to Assist AutoML. CoRR (2021)
Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan
Repairing Deep Neural Networks: Fix Patterns and Challenges. CoRR (2020)
Rangeet Pan
Does fixing bug increase robustness in deep learning? ICSE (Companion Volume) (2020)
Rangeet Pan, Hridesh Rajan
On decomposing a deep neural network into modules. ESEC/SIGSOFT FSE (2020)
Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan
Repairing deep neural networks: fix patterns and challenges. ICSE (2020)
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan
A comprehensive study on deep learning bug characteristics. ESEC/SIGSOFT FSE (2019)
Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan
Identifying Classes Susceptible to Adversarial Attacks. CoRR (2019)
Md Johirul Islam, Hoan Anh Nguyen, Rangeet Pan, Hridesh Rajan
What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow. CoRR (2019)
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan
A Comprehensive Study on Deep Learning Bug Characteristics. CoRR (2019)
Rangeet Pan
Static deep neural network analysis for robustness. ESEC/SIGSOFT FSE (2019)