Large Language Models for Software Engineering: A Systematic Literature Review X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li, X Luo, D Lo, J Grundy, ... arXiv preprint arXiv:2308.10620, 2023 | 199 | 2023 |
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 | 111 | 2022 |
Biasfinder: Metamorphic test generation to uncover bias for sentiment analysis systems MH Asyrofi, Z Yang, INB Yusuf, HJ Kang, F Thung, D Lo IEEE Transactions on Software Engineering, 2021 | 67 | 2021 |
PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models J He, B Xu, Z Yang, DG Han, C Yang, D Lo Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 43 | 2022 |
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 | 38 | 2022 |
Aspect-based api review classification: How far can pre-trained transformer model go? C Yang, B Xu, JY Khan, G Uddin, D Han, Z Yang, D Lo 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 29 | 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, 2023 | 27 | 2023 |
Large Language Models for Software Engineering: A Systematic Literature Review X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li, X Luo, D Lo, J Grundy, ... arXiv preprint arXiv:2308.10620, 112011, 2023 | 26* | 2023 |
BiasRV: Uncovering biased sentiment predictions at runtime Z Yang, MH Asyrofi, D Lo Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 26 | 2021 |
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 | 24 | 2022 |
Crossasr++: A modular differential testing framework for automatic speech recognition MH Asyrofi, Z Yang, D Lo Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 22 | 2021 |
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 Proceedings of the 46th International Conference on Software Engineering …, 2023 | 21 | 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 Proceedings of the 38th Annual Computer Security Applications Conference …, 2022 | 21 | 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, 2022 | 20 | 2022 |
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking Z Wang, Z Yang, M Qiu, I Haque, L Brown, Y He, J Wang, D Lo, W Zhang 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 15 | 2023 |
Incbl: Incremental bug localization Z Yang, J Shi, S Wang, D Lo 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 15 | 2021 |
Representation Learning for Stack Overflow Posts: How Far are We? J He, X Zhou, B Xu, T Zhang, K Kim, Z Yang, F Thung, IC Irsan, D Lo ACM Transactions on Software Engineering and Methodology, 2023 | 14 | 2023 |
Can differential testing improve automatic speech recognition systems? MH Asyrofi, Z Yang, J Shi, CW Quan, D Lo 2021 IEEE International Conference on Software Maintenance and Evolution …, 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 2021 IEEE International Conference on Software Maintenance and Evolution …, 2021 | 13 | 2021 |
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? J Shi, Z Yang, J He, B Xu, D Lo 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 12 | 2022 |