| 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 | 125 | 2022 |
| 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 | 48 | 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 | 34 | 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 | 21 | 2022 |
| Generation-based code review automation: how far are weƒ X Zhou, K Kim, B Xu, DG Han, J He, D Lo 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC …, 2023 | 16 | 2023 |
| 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 | 15 | 2024 |
| 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 | 13 | 2022 |
| 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 | 11 | 2023 |
| 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 | 9 | 2023 |
| Consensus formation on heterogeneous networks E Fadda, J He, CJ Tessone, P Barucca EPJ Data Science 11 (1), 34, 2022 | 9 | 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 | 9 | 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 | 3 | 2024 |
| 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 | 3 | 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 | 3 | 2023 |
| Smaller, Faster, Greener: Compressing Pre-trained Code Models via Surrogate-Assisted Optimization J Shi, Z Yang, HJ Kang, B Xu, J He, D Lo arXiv preprint arXiv:2309.04076, 2023 | 2 | 2023 |
| 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 | 1 | 2024 |
| LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead J He, C Treude, D Lo arXiv preprint arXiv:2404.04834, 2024 | 1 | 2024 |
| Towards Smaller, Faster, and Greener Language Models of Code J Shi, Z Yang, HJ Kang, B Xu, J He, D Lo arXiv e-prints, arXiv: 2309.04076, 2023 | 1 | 2023 |
| Can identifier splitting improve open-vocabulary language model of code?.(2022) J SHI, Z YANG, J HE, B XU, D LO Proceedings of the 2022 IEEE International Conference on Software Analysis …, 0 | 1 | |
| 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 | | 2024 |
David LoProfessor of Computer Science, Singapore Management University在 smu.edu.sg 的电子邮件经过验证
