| Deeptest: Automated testing of deep-neural-network-driven autonomous cars Y Tian, K Pei, S Jana, B Ray Proceedings of the 40th international conference on software engineering …, 2018 | 1724 | 2018 |
| Unified pre-training for program understanding and generation WU Ahmad, S Chakraborty, B Ray, KW Chang NAACL, 2021 | 874 | 2021 |
| Deep learning based vulnerability detection: Are we there yet? S Chakraborty, R Krishna, Y Ding, B Ray IEEE Transactions on Software Engineering 48 (9), 3280-3296, 2021 | 662 | 2021 |
| A large scale study of programming languages and code quality in github B Ray, D Posnett, V Filkov, P Devanbu Proceedings of the 22nd ACM SIGSOFT international symposium on foundations …, 2014 | 614 | 2014 |
| A transformer-based approach for source code summarization WU Ahmad, S Chakraborty, B Ray, KW Chang arXiv preprint arXiv:2005.00653, 2020 | 456 | 2020 |
| Gender and tenure diversity in GitHub teams B Vasilescu, D Posnett, B Ray, MGJ van den Brand, A Serebrenik, ... Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015 | 418 | 2015 |
| An empirical study of api stability and adoption in the android ecosystem T McDonnell, B Ray, M Kim 2013 IEEE International Conference on Software Maintenance, 70-79, 2013 | 377 | 2013 |
| On the" naturalness" of buggy code B Ray, V Hellendoorn, S Godhane, Z Tu, A Bacchelli, P Devanbu Proceedings of the 38th International Conference on Software Engineering …, 2016 | 366* | 2016 |
| PTask: operating system abstractions to manage GPUs as compute devices CJ Rossbach, J Currey, M Silberstein, B Ray, E Witchel Proceedings of the Twenty-Third ACM Symposium on Operating Systems …, 2011 | 359 | 2011 |
| Neuzz: Efficient fuzzing with neural program smoothing D She, K Pei, D Epstein, J Yang, B Ray, S Jana 2019 IEEE Symposium on Security and Privacy (SP), 803-817, 2019 | 315 | 2019 |
| Using frankencerts for automated adversarial testing of certificate validation in SSL/TLS implementations C Brubaker, S Jana, B Ray, S Khurshid, V Shmatikov 2014 IEEE Symposium on Security and Privacy, 114-129, 2014 | 312* | 2014 |
| Whozthat? evolving an ecosystem for context-aware mobile social networks A Beach, M Gartrell, S Akkala, J Elston, J Kelley, K Nishimoto, B Ray, ... IEEE network 22 (4), 50-55, 2008 | 265 | 2008 |
| Metric learning for adversarial robustness C Mao, Z Zhong, J Yang, C Vondrick, B Ray Advances in Neural Information Processing Systems 32, 2019 | 246 | 2019 |
| Codit: Code editing with tree-based neural models S Chakraborty, Y Ding, M Allamanis, B Ray IEEE Transactions on Software Engineering 48 (4), 1385-1399, 2020 | 199* | 2020 |
| Retrieval augmented code generation and summarization MR Parvez, WU Ahmad, S Chakraborty, B Ray, KW Chang arXiv preprint arXiv:2108.11601, 2021 | 183 | 2021 |
| Multi-lingual evaluation of code generation models B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ... arXiv preprint arXiv:2210.14868, 2022 | 162* | 2022 |
| Guided conditional diffusion for controllable traffic simulation Z Zhong, D Rempe, D Xu, Y Chen, S Veer, T Che, B Ray, M Pavone 2023 IEEE international conference on robotics and automation (ICRA), 3560-3566, 2023 | 153 | 2023 |
| Learning approximate execution semantics from traces for binary function similarity K Pei, Z Xuan, J Yang, S Jana, B Ray IEEE Transactions on Software Engineering 49 (4), 2776-2790, 2022 | 137* | 2022 |
| Natgen: generative pre-training by “naturalizing” source code S Chakraborty, T Ahmed, Y Ding, PT Devanbu, B Ray Proceedings of the 30th ACM joint european software engineering conference …, 2022 | 136 | 2022 |
| Some from here, some from there: Cross-project code reuse in github M Gharehyazie, B Ray, V Filkov 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 118 | 2017 |
Saikat ChakrabortySenior Researcher at Microsoft ResearchVerified email at microsoft.com
