| 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 | 159 | 2022 |
| Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... arXiv preprint arXiv:2406.15877, 2024 | 64 | 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 50 (4), 721-741, 2024 | 63 | 2024 |
| 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 | 55 | 2022 |
| 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 | 27 | 2024 |
| 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 | 19 | 2024 |
| Generation-based code review automation: How far are we? X Zhou, K Kim, B Xu, DG Han, J He, D Lo 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC …, 2023 | 18 | 2023 |
| Ccbert: Self-supervised code change representation learning X Zhou, B Xu, DG Han, Z Yang, J He, D Lo 2023 IEEE International Conference on Software Maintenance and Evolution …, 2023 | 17 | 2023 |
| 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 | 15 | 2022 |
| 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 | 14 | 2022 |
| LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead J He, C Treude, D Lo ACM Transactions on Software Engineering and Methodology, 2024 | 12* | 2024 |
| PatchZero: Zero-shot automatic patch correctness assessment X Zhou, B Xu, K Kim, DG Han, T Le-Cong, J He, B Le, D Lo arXiv preprint arXiv:2303.00202, 2023 | 12 | 2023 |
| Harm de Vries, and Leandro Von Werra TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... Bigcodebench: Benchmarking code generation with diverse function calls and …, 2024 | 11 | 2024 |
| Consensus formation on heterogeneous networks E Fadda, J He, CJ Tessone, P Barucca EPJ Data Science 11 (1), 34, 2022 | 11 | 2022 |
| 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 | 8 | 2024 |
| Leveraging large language model for automatic patch correctness assessment X Zhou, B Xu, K Kim, DG Han, HH Nguyen, T Le-Cong, J He, B Le, D Lo IEEE Transactions on Software Engineering, 2024 | 7 | 2024 |
| David Lo. Llm-based multi-agent systems for software engineering: Vision and the road ahead J He, C Treude arXiv preprint arXiv:2404.04834 2, 2024 | 6 | 2024 |
| APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation C Yang, J Liu, B Xu, C Treude, Y Lyu, J He, M Li, D Lo arXiv preprint arXiv:2312.10934, 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 | 4 | 2024 |
David LoProfessor of Computer Science, Singapore Management UniversityПідтверджена електронна адреса в smu.edu.sg