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Zhou Yang
Zhou Yang
Senior Research Engineer, SMU
Verified email at smu.edu.sg - Homepage
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Year
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, ...
ACM Transactions on Software Engineering and Methodology, 2023
3862023
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
1472022
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
772021
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
542022
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
48*2023
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
472023
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
452022
Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code
Z Yang, Z Sun, TZ Yue, P Devanbu, D Lo
arXiv preprint arXiv:2403.07506, 2024
322024
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
322022
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
322022
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
272021
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
262023
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
262022
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
252023
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
252021
Large language models for software engineering: a systematic literature review (2023)
X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li, X Luo, D Lo, J Grundy, ...
arXiv preprint arXiv:2308.10620, 2023
242023
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
222022
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
212024
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 33 (3), 1-24, 2024
192024
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
Proceedings of the 20th International Conference on Mining Software …, 2023
192023
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