Rangeet Pan and Hridesh Rajan

Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules, ICSE, 2022

Giang Nguyen, Md. Johirul Islam, Rangeet Pan, and Hridesh Rajan

Manas: Mining Software Repositories to Assist AutoML, ICSE, 2022


Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendhu Lahiri, and Mike Kaufman

Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis, ICSE, 2021: [pre-print]


Rangeet Pan, Hridesh Rajan

On Decomposing a Deep Neural Network into Modules, ESEC/FSE, 2020: 889-900 [paper]

Rangeet Pan

Does Fixing Bug Increase Robustness in Deep Learning?, ICSE SRC, 2020: 146-148 [paper]

Md Johirul Islam, Rangeet Pan, Hridesh Rajan

Repairing Deep Neural Networks: Fix Patterns and Challenges, ICSE, 2020: 1135-1146 [paper]


Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan

A Comprehensive Study on Deep Learning Bug Characteristics, ESEC/FSE, 2019: 510-520 [paper]

Rangeet Pan

Static Deep Neural Network Analysis for Robustness, ESEC/FSE SRC, 2019: 1238-1240 [paper]

Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan

Identifying Classes Susceptible to Adversarial Attacks, Archived, 2019: [paper]

Md Johirul Islam, Hoan Anh Nguyen, Rangeet Pan, and Hridesh Rajan

What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow, Archived, 2019: [paper]