| Natural attack for pre-trained models of code Z Yang, J Shi, J He, D Lo Proceedings of the 44th International Conference on Software Engineering …, 2022 | 161 | 2022 |
| Stealthy backdoor attack for code models Z Yang, B Xu, JM Zhang, HJ Kang, J Shi, J He, D Lo IEEE Transactions on Software Engineering 50 (4), 721-741, 2024 | 68 | 2024 |
| Revisiting neuron coverage metrics and quality of deep neural networks Z Yang, J Shi, MH Asyrofi, D Lo 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 50 | 2022 |
| Compressing pre-trained models of code into 3 mb J Shi, Z Yang, B Xu, HJ Kang, D Lo Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 41 | 2022 |
| Unveiling memorization in code models Z Yang, Z Zhao, C Wang, J Shi, D Kim, D Han, D Lo Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 32 | 2024 |
| Curiosity-driven and victim-aware adversarial policies C Gong, Z Yang, Y Bai, J Shi, A Sinha, B Xu, D Lo, X Hou, G Fan Proceedings of the 38th Annual Computer Security Applications Conference …, 2022 | 27 | 2022 |
| What do users ask in open-source AI repositories? An empirical study of GitHub issues Z Yang, C Wang, J Shi, T Hoang, P Kochhar, Q Lu, Z Xing, D Lo 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 23 | 2023 |
| Mind your data! hiding backdoors in offline reinforcement learning datasets C Gong, Z Yang, Y Bai, J He, J Shi, A Sinha, B Xu, X Hou, G Fan, D Lo arXiv preprint arXiv:2210.04688 3, 2022 | 23 | 2022 |
| Greening large language models of code J Shi, Z Yang, HJ Kang, B Xu, J He, D Lo Proceedings of the 46th International Conference on Software Engineering …, 2024 | 21 | 2024 |
| Incbl: Incremental bug localization Z Yang, J Shi, S Wang, D Lo 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 19 | 2021 |
| Can Differential Testing Improve Automatic Speech Recognition Systems? MH Asyrofi, Z Yang, J Shi, CW Quan, D Lo ICSME 2021, 2021 | 16 | 2021 |
| Efficient and green large language models for software engineering: Vision and the road ahead J Shi, Z Yang, D Lo ACM Transactions on Software Engineering and Methodology, 2024 | 15 | 2024 |
| Answer summarization for technical queries: Benchmark and new approach C Yang, B Xu, F Thung, Y Shi, T Zhang, Z Yang, X Zhou, J Shi, J He, ... Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 15 | 2022 |
| Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? J Shi, Z Yang, J He, B Xu, D Lo SANER 2022, 2022 | 15 | 2022 |
| Biasheal: On-the-fly black-box healing of bias in sentiment analysis systems Z Yang, H Jain, J Shi, MH Asyrofi, D Lo 2021 ieee international conference on software maintenance and evolution …, 2021 | 15 | 2021 |
| Gotcha! this model uses my code! evaluating membership leakage risks in code models Z Yang, Z Zhao, C Wang, J Shi, D Kim, D Han, D Lo IEEE Transactions on Software Engineering, 2024 | 10 | 2024 |
| Baffle: Hiding backdoors in offline reinforcement learning datasets C Gong, Z Yang, Y Bai, J He, J Shi, K Li, A Sinha, B Xu, X Hou, D Lo, ... 2024 IEEE Symposium on Security and Privacy (SP), 2086-2104, 2024 | 9 | 2024 |
| Ecosystem of large language models for code Z Yang, J Shi, P Devanbu, D Lo arXiv preprint arXiv:2405.16746, 2024 | 6 | 2024 |
| Prioritizing speech test cases Z Yang, J Shi, MH Asyrofi, B Xu, X Zhou, DG Han, D Lo ACM Transactions on Software Engineering and Methodology, 2023 | 6 | 2023 |
| On the influence of biases in bug localization: Evaluation and benchmark R Widyasari, SA Haryono, F Thung, J Shi, C Tan, F Wee, J Phan, D Lo 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 6 | 2022 |
David LoProfessor of Computer Science, Singapore Management UniversityPreverjeni e-poštni naslov na smu.edu.sg
