| Prompt-tuned code language model as a neural knowledge base for type inference in statically-typed partial code Q Huang, Z Yuan, Z Xing, X Xu, L Zhu, Q Lu Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 47 | 2022 |
| Prompt sapper: a LLM-empowered production tool for building AI chains Y Cheng, J Chen, Q Huang, Z Xing, X Xu, Q Lu ACM Transactions on Software Engineering and Methodology 33 (5), 1-24, 2024 | 38 | 2024 |
| Deep learning the semantics of change sequences for query expansion Q Huang, Y Yang, M Cheng Software: Practice and Experience 49 (11), 1600-1617, 2019 | 24 | 2019 |
| A code-description representation learning model based on attention Q Huang, A Qiu, M Zhong, Y Wang 2020 IEEE 27th International Conference on Software Analysis, Evolution and …, 2020 | 16 | 2020 |
| Query expansion based on statistical learning from code changes Q Huang, Y Yang, X Zhan, H Wan, G Wu Software: Practice and Experience 48 (7), 1333-1351, 2018 | 16 | 2018 |
| 1+ 1> 2: Programming know-what and know-how knowledge fusion, semantic enrichment and coherent application Q Huang, Z Yuan, Z Xing, Z Zuo, C Wang, X Xia IEEE Transactions on Services Computing 16 (3), 1540-1554, 2022 | 15 | 2022 |
| Api entity and relation joint extraction from text via dynamic prompt-tuned language model Q Huang, Y Sun, Z Xing, M Yu, X Xu, Q Lu ACM Transactions on Software Engineering and Methodology 33 (1), 1-25, 2023 | 14 | 2023 |
| A review of blockchain layered architecture and technology application research C Wang, H Jiang, J Zeng, YU Min, Q Huang, Z Zuo Wuhan University Journal of Natural Sciences 26 (5), 14, 2021 | 14 | 2021 |
| Secure and efficient outsourcing computation on large-scale linear regressions Y Yang, P Xiong, Q Huang, F Chen Information Sciences 522, 134-147, 2020 | 13 | 2020 |
| QE-integrating framework based on Github knowledge and SVM ranking Q Huang, H Wu Science China Information Sciences 62, 1-16, 2019 | 12 | 2019 |
| Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain Q Huang, Z Wan, Z Xing, C Wang, J Chen, X Xu, Q Lu 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 10 | 2023 |
| Enhance code search via reformulating queries with evolving contexts Q Huang, G Wu Automated Software Engineering 26 (4), 705-732, 2019 | 10 | 2019 |
| Enhancing exploratory testing by large language model and knowledge graph Y Su, D Liao, Z Xing, Q Huang, M Xie, Q Lu, X Xu Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 8 | 2024 |
| PCR-Chain: Partial code reuse assisted by hierarchical chaining of prompts on frozen copilot Q Huang, J Zhu, Z Li, Z Xing, C Wang, X Xu 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 8 | 2023 |
| Query expansion via intent predicting Q Huang, Y Yang, X Wang, H Wan, R Wang, G Wu International Journal of Software Engineering and Knowledge Engineering 27 …, 2017 | 7 | 2017 |
| SnippetGen: Enhancing the Code Search via Intent Predicting. Q Huang, X Wang, Y Yang, H Wan, R Wang, G Wu SEKE, 307-312, 2017 | 5 | 2017 |
| Answering uncertain, under-specified api queries assisted by knowledge-aware human-ai dialogue Q Huang, Z Li, Z Xing, Z Zuo, X Peng, X Xu, Q Lu IEEE Transactions on Software Engineering, 2023 | 4 | 2023 |
| Research on smart contract vulnerability detection method based on domain features of solidity contracts and attention mechanism C Wang, H Jiang, Y Wang, Q Huang, Z Zuo Journal of Intelligent & Fuzzy Systems 45 (1), 1513-1525, 2023 | 4 | 2023 |
| Semantic-enriched code knowledge graph to reveal unknowns in smart contract code reuse Q Huang, D Liao, Z Xing, Z Zuo, C Wang, X Xia ACM Transactions on Software Engineering and Methodology 32 (6), 1-37, 2023 | 3 | 2023 |
| Search for compatible source code F Cai, C Wang, Q Huang, Z Zuo, Y Liao International Journal of Software Engineering and Knowledge Engineering 31 …, 2021 | 3 | 2021 |