| Coconut: combining context-aware neural translation models using ensemble for program repair T Lutellier, HV Pham, L Pang, Y Li, M Wei, L Tan Proceedings of the 29th ACM SIGSOFT international symposium on software …, 2020 | 399 | 2020 |
| Mining user opinions in mobile app reviews: A keyword-based approach (t) PM Vu, TT Nguyen, HV Pham, TT Nguyen 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 233 | 2015 |
| Problems and opportunities in training deep learning software systems: an analysis of variance HV Pham, S Qian, J Wang, T Lutellier, J Rosenthal, L Tan, Y Yu, ... Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 162 | 2020 |
| CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries HV Pham, T Lutellier, W Qi, L Tan 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 153 | 2019 |
| How effective are neural networks for fixing security vulnerabilities Y Wu, N Jiang, HV Pham, T Lutellier, J Davis, L Tan, P Babkin, S Shah Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 97 | 2023 |
| Learning API usages from bytecode: A statistical approach TT Nguyen, HV Pham, PM Vu, TT Nguyen Proceedings of the 38th International Conference on Software Engineering …, 2016 | 80 | 2016 |
| DocTer: documentation-guided fuzzing for testing deep learning API functions D Xie, Y Li, M Kim, HV Pham, L Tan, X Zhang, MW Godfrey Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 75 | 2022 |
| Phrase-based extraction of user opinions in mobile app reviews PM Vu, HV Pham, TT Nguyen, TT Nguyen Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016 | 69 | 2016 |
| Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training S Qian, H Pham, T Lutellier, Z Hu, J Kim, L Tan, Y Yu, J Chen, S Shah Advances in Neural Information Processing Systems 34, 2021 | 59 | 2021 |
| Recommending API usages for mobile apps with hidden markov model TT Nguyen, HV Pham, PM Vu, TT Nguyen 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 56 | 2015 |
| EAGLE: creating equivalent graphs to test deep learning libraries J Wang, T Lutellier, S Qian, HV Pham, L Tan Proceedings of the 44th International Conference on Software Engineering …, 2022 | 31 | 2022 |
| Deep learning UI design patterns of mobile apps TT Nguyen, PM Vu, HV Pham, TT Nguyen Proceedings of the 40th International Conference on Software Engineering …, 2018 | 27 | 2018 |
| Tool support for analyzing mobile app reviews PM Vu, HV Pham, TT Nguyen, TT Nguyen 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 25 | 2015 |
| Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation K Jin, CY Wang, HV Pham, H Hemmati 2024 IEEE/ACM 21st International Conference on Mining Software Repositories …, 2024 | 20 | 2024 |
| Designing for robot-mediated interaction among culturally and linguistically diverse children Y Kim, S Marx, HV Pham, T Nguyen Educational Technology Research and Development 69, 3233-3254, 2021 | 16 | 2021 |
| DEVIATE: A Deep Learning Variance Testing Framework HV Pham, M Kim, L Tan, Y Yu, N Nagappan 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 13 | 2021 |
| DisGUIDE: disagreement-guided data-free model extraction J Rosenthal, E Enouen, HV Pham, L Tan Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9614-9622, 2023 | 12 | 2023 |
| Toward Mining Visual Log of Software H Pham, T Nguyen, P Vu, T Nguyen arXiv preprint arXiv:1610.08911, 2016 | 8 | 2016 |
| Effectiveness of ChatGPT for Static Analysis: How Far Are We? MM Mohajer, R Aleithan, NS Harzevili, M Wei, AB Belle, HV Pham, ... Proceedings of the 1st ACM International Conference on AI-Powered Software …, 2024 | 7 | 2024 |
| A Vision on Mining Visual Logs of Software HV Pham, TT Nguyen, PM Vu, TT Nguyen Proceedings of the 2020 ACM Southeast Conference, 284-287, 2020 | | 2020 |
Lin TanMary J. Elmore New Frontiers Professor, Computer Science, Purdue UniversityE-mail megerősítve itt: purdue.edu
