| Deep Code Search X Gu, H Zhang, S Kim IEEE/ACM 40th International Conference on Software Engineering (ICSE), 933-944, 2018 | 658* | 2018 |
| Deep API learning X Gu, H Zhang, D Zhang, S Kim The 24th ACM SIGSOFT International Symposium on Foundations of Software …, 2016 | 653 | 2016 |
| "What Parts of Your Apps are Loved by Users?"(T) X Gu, S Kim The 30th IEEE/ACM International Conference on Automated Software Engineering …, 2015 | 175 | 2015 |
| DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder X Gu, K Cho, J Ha, S Kim The 7th International Conference on Learning Representations (ICLR 2019 …, 2019 | 161 | 2019 |
| DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances X Gu, KM Yoo, JW Ha The 35th AAAI Conference on Artifitial Intelligence (AAAI 2021), 2021 | 76 | 2021 |
| DeepAM: Migrate APIs with multi-modal sequence to sequence learning X Gu, H Zhang, D Zhang, S Kim The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017 | 74 | 2017 |
| A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts Z Yang, J Keung, X Yu, X Gu, Z Wei, X Ma, M Zhang The 2021 International Conference on Program Comprehension (ICPC 2021), 2021 | 57 | 2021 |
| Diet code is healthy: Simplifying programs for pre-trained models of code Z Zhang, H Zhang, B Shen, X Gu Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 37 | 2022 |
| Cross-Domain Deep Code Search with Meta Learning Y Chai, H Zhang, B Shen, X Gu The 44th International Conference on Software Engineering (ICSE 2022), 2022 | 34* | 2022 |
| CodeKernel: A Graph Kernel based Approach to the Selection of API Usage Examples X Gu, H Zhang, S Kim The 34th IEEE/ACM International Conference on Automated Software Engineering …, 2019 | 29 | 2019 |
| Response generation with context-aware prompt learning X Gu, KM Yoo, SW Lee arXiv preprint arXiv:2111.02643, 2021 | 23 | 2021 |
| Finding the best learning to rank algorithms for effort-aware defect prediction X Yu, H Dai, L Li, X Gu, JW Keung, KE Bennin, F Li, J Liu Information and Software Technology 157, 107165, 2023 | 13 | 2023 |
| On the Evaluation of Neural Code Translation: Taxonomy and Benchmark M Jiao, T Yu, X Li, G Qiu, X Gu, B Shen 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 5 | 2023 |
| Self-supervised learning of smart contract representations S Yang, X Gu, B Shen Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 5 | 2022 |
| Zero-shot program representation learning N Cui, Y Jiang, X Gu, B Shen Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 5 | 2022 |
| InfeRE: Step-by-Step Regex Generation via Chain of Inference S Zhang, X Gu, Y Chen, B Shen 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 3 | 2023 |
| Do Bugs Propagate? An Empirical Analysis of Temporal Correlations among Software Bugs X Gu, S Kim, YS Han, H Zhang 35th European Conference on Object-Oriented Programming (ECOOP 2021), 2021 | 3 | 2021 |
| On the effectiveness of large language models in domain-specific code generation M Chen, H Zhang, C Wan, Z Wei, Y Xu, J Wang, X Gu arXiv preprint arXiv:2312.01639, 2023 | 2 | 2023 |
| Continuous decomposition of granularity for neural paraphrase generation X Gu, Z Zhang, SW Lee, KM Yoo, JW Ha arXiv preprint arXiv:2209.01765, 2022 | 2 | 2022 |
| Self-supervised query reformulation for code search Y Mao, C Wan, Y Jiang, X Gu Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 1 | 2023 |
Hongyu ZhangChongqing UniversityGeverifieerd e-mailadres voor newcastle.edu.au
