| Natural Attack for Pre-trained Models of Code Z Yang, J Shi, J He, D Lo ICSE 2022, 2022 | 162 | 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, 2024 | 59 | 2024 |
| Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks Z Yang, J Shi, MH Asyrofi, D Lo SANER 2022, 2022 | 51 | 2022 |
| Compressing Pre-trained Models of Code into 3 MB J Shi, Z Yang, B Xu, HJ Kang, D Lo ASE 2022, 2022 | 39* | 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 | 28 | 2024 |
| What do code models memorize? an empirical study on large language models of code Z Yang, Z Zhao, C Wang, J Shi, D Kim, DG Han, D Lo arXiv preprint arXiv:2308.09932, 2023 | 26 | 2023 |
| 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 ACSAC 2022, 2022 | 26 | 2022 |
| 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 | 22 | 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 MSR 2023, 2023 | 20 | 2023 |
| 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 | 18 | 2024 |
| Incbl: Incremental bug localization Z Yang, J Shi, S Wang, D Lo ASE 2021, 2021 | 17 | 2021 |
| Can Differential Testing Improve Automatic Speech Recognition Systems? MH Asyrofi, Z Yang, J Shi, CW Quan, D Lo ICSME 2021, 2021 | 16 | 2021 |
| 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 ICSME 2021, 2021 | 15 | 2021 |
| Answer Summarization for Technical Queries: Benchmark and New Approach Y Chengran, B Xu, F Thung, Y Shi, T Zhang, Z Yang, X Zhou, J Shi, J He, ... ASE 2022, 2022 | 13* | 2022 |
| 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 |
| 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 | 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 | 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 |
| Curiosity-Driven Testing for Sequential Decision-Making Process J He, Z Yang, J Shi, C Yang, K Kim, B Xu, X Zhou, D Lo Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 5 | 2024 |
David LoProfessor of Computer Science, Singapore Management UniversityBestätigte E-Mail-Adresse bei smu.edu.sg
