Baishakhi Ray

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Saikat ChakrabortySenior Researcher at Microsoft ResearchVerified email at microsoft.com
Suman JanaAssociate Professor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Wasi Uddin AhmadApplied Scientist, AWS AI LabsVerified email at ucla.edu
Prem DevanbuDistinguished Professor (பேராசிரியர்), ACM FellowVerified email at ucdavis.edu
Kexin PeiPh.D., Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Yuchi TianColumbia UniversityVerified email at columbia.edu
Junfeng YangAssociate Professor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Vladimir FilkovProfessor of Computer Science, UC DavisVerified email at ucdavis.edu
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
Yangruibo DingGraduate Student, Columbia UniversityVerified email at columbia.edu
Ziyuan ZhongColumbia UniversityVerified email at columbia.edu
Miryung KimFull Professor and Vice Chair of Graduate Studies, Computer Science, University of California, LosVerified email at cs.ucla.edu
Rahul KrishnaResearch Staff Member :: IBM Research, Yorktown Heights, NYVerified email at ibm.com
Gail KaiserProfessor of Computer Science, Columbia UniversityVerified email at columbia.edu
Dongdong SheColumbia UniversityVerified email at cs.columbia.edu
Chengzhi MaoPhD student at CS, Columbia UniversityVerified email at columbia.edu
Vincent HellendoornCarnegie Mellon UniversityVerified email at cmu.edu
Alberto BacchelliAssociate Professor, Head of ZEST @ University of ZurichVerified email at ifi.uzh.ch
Md Masudur RahmanPh.D. Candidate in Computer Science, Purdue UniversityVerified email at purdue.edu
Carl VondrickAssociate Professor, Columbia UniversityVerified email at columbia.edu

Baishakhi Ray

Associate Professor, Columbia University

Verified email at cs.columbia.edu - Homepage

Software Engineering Machine Learning AI4Code AI4SE SE4AI


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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	1237	2018
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	498	2014
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	367	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	362	2013
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	342	2011
Unified pre-training for program understanding and generation WU Ahmad, S Chakraborty, B Ray, KW Chang NAACL, 2021	284	2021
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	263*	2016
A transformer-based approach for source code summarization WU Ahmad, S Chakraborty, B Ray, KW Chang arXiv preprint arXiv:2005.00653, 2020	255	2020
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	255	2008
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	251*	2014
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	189	2019
Metric learning for adversarial robustness C Mao, Z Zhong, J Yang, C Vondrick, B Ray Advances in Neural Information Processing Systems 32, 2019	155	2019
Deep learning based vulnerability detection: Are we there yet S Chakraborty, R Krishna, Y Ding, B Ray IEEE Transactions on Software Engineering, 2021	153	2021
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	111*	2020
An empirical study of supplementary bug fixes J Park, M Kim, B Ray, DH Bae 2012 9th IEEE Working Conference on Mining Software Repositories (MSR), 40-49, 2012	94	2012
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	83	2017
A case study of cross-system porting in forked projects B Ray, M Kim Proceedings of the ACM SIGSOFT 20th International Symposium on the …, 2012	77	2012
Automatically diagnosing and repairing error handling bugs in c Y Tian, B Ray Proceedings of the 2017 11th joint meeting on foundations of software …, 2017	71	2017
Multitask learning strengthens adversarial robustness C Mao, A Gupta, V Nitin, B Ray, S Song, J Yang, C Vondrick Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	65	2020
Automatically Detecting Error Handling Bugs Using Error Specifications. S Jana, YJ Kang, S Roth, B Ray USENIX Security Symposium, 345-362, 2016	65	2016

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