| Natural Attack for Pre-trained Models of Code Z Yang, J Shi, J He, D Lo ICSE 2022, 2022 | 110 | 2022 |
| Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks Z Yang, J Shi, MH Asyrofi, D Lo SANER 2022, 2022 | 38 | 2022 |
| Unveiling memorization in code models Z Yang, Z Zhao, C Wang, J Shi, D Kim, D Han, D Lo ICSE 2024, 2024 | 27* | 2024 |
| 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 | 25 | 2024 |
| Compressing Pre-trained Models of Code into 3 MB J Shi, Z Yang, B Xu, HJ Kang, D Lo ASE 2022, 2022 | 23 | 2022 |
| BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets C Gong, Z Yang, Y Bai, J Shi, J He, K Li, B Xu, S Arunesh, X Hou, D Lo, ... S&P 2024, 2024 | 21* | 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 ACSAC 2022, 2022 | 21 | 2022 |
| Incbl: Incremental bug localization Z Yang, J Shi, S Wang, D Lo ASE 2021, 2021 | 15 | 2021 |
| Can Differential Testing Improve Automatic Speech Recognition Systems? MH Asyrofi, Z Yang, J Shi, CW Quan, D Lo ICSME 2021, 2021 | 14 | 2021 |
| 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 | 13 | 2021 |
| Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? J Shi, Z Yang, J He, B Xu, D Lo SANER 2022, 2022 | 12 | 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 | 10 | 2023 |
| 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 | 9* | 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 arXiv preprint arXiv:2310.01166, 2023 | 7 | 2023 |
| Greening Large Language Models of Code J Shi, Z Yang, HJ Kang, B Xu, J He, D Lo ICSE 2024, 2023 | 5* | 2023 |
| Prioritizing speech test cases Z Yang, J Shi, MH Asyrofi, B Xu, X Zhou, DG Han, D Lo arXiv preprint arXiv:2302.00330, 2023 | 5 | 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 SANER 2022, 2022 | 4 | 2022 |
| Ecosystem of Large Language Models for Code Z Yang, J Shi, D Lo arXiv preprint arXiv:2405.16746, 2024 | | 2024 |
| Curiosity-Driven Testing for Sequential Decision-Making Process J He, Z Yang, J Shi, C Yang, K Kim, B Xu, X Zhou, D Lo ICSE 2024, 2024 | | 2024 |
| Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead J Shi, Z Yang, D Lo arXiv preprint arXiv:2404.04566, 2024 | | 2024 |
David LoProfessor of Computer Science, Singapore Management University在 smu.edu.sg 的电子邮件经过验证
