| Topic memory networks for short text classification J Zeng, J Li, Y Song, C Gao, MR Lyu, I King arXiv preprint arXiv:1809.03664, 2018 | 177 | 2018 |
| Online app review analysis for identifying emerging issues C Gao, J Zeng, MR Lyu, I King Proceedings of the 40th International Conference on Software Engineering, 48-58, 2018 | 151 | 2018 |
| Code structure–guided transformer for source code summarization S Gao, C Gao, Y He, J Zeng, L Nie, X Xia, M Lyu ACM Transactions on Software Engineering and Methodology 32 (1), 1-32, 2023 | 103 | 2023 |
| Emerging app issue identification from user feedback: Experience on wechat C Gao, W Zheng, Y Deng, D Lo, J Zeng, MR Lyu, I King 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 57 | 2019 |
| Photon: A robust cross-domain text-to-SQL system J Zeng, XV Lin, C Xiong, R Socher, MR Lyu, I King, SCH Hoi arXiv preprint arXiv:2007.15280, 2020 | 45 | 2020 |
| Automating app review response generation C Gao, J Zeng, X Xia, D Lo, MR Lyu, I King 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 44 | 2019 |
| What you say and how you say it: Joint modeling of topics and discourse in microblog conversations J Zeng, J Li, Y He, C Gao, MR Lyu, I King Transactions of the Association for Computational Linguistics 7, 267-281, 2019 | 34 | 2019 |
| Enriching query semantics for code search with reinforcement learning C Wang, Z Nong, C Gao, Z Li, J Zeng, Z Xing, Y Liu Neural Networks 145, 22-32, 2022 | 29 | 2022 |
| Infar: Insight extraction from app reviews C Gao, J Zeng, D Lo, CY Lin, MR Lyu, I King Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 27 | 2018 |
| Emerging app issue identification via online joint sentiment-topic tracing C Gao, J Zeng, Z Wen, D Lo, X Xia, I King, MR Lyu IEEE Transactions on Software Engineering 48 (8), 3025-3043, 2021 | 26 | 2021 |
| What changed your mind: The roles of dynamic topics and discourse in argumentation process J Zeng, J Li, Y He, C Gao, M Lyu, I King Proceedings of The Web Conference 2020, 1502-1513, 2020 | 21 | 2020 |
| Understanding in-app advertising issues based on large scale app review analysis C Gao, J Zeng, D Lo, X Xia, I King, MR Lyu Information and Software Technology 142, 106741, 2022 | 18 | 2022 |
| Do users care about ad’s performance costs? Exploring the effects of the performance costs of in-app ads on user experience C Gao, J Zeng, F Sarro, D Lo, I King, MR Lyu Information and Software Technology 132, 106471, 2021 | 15 | 2021 |
| Exploring the effects of ad schemes on the performance cost of mobile phones C Gao, J Zeng, F Sarro, MR Lyu, I King Proceedings of the 1st international workshop on advances in mobile app …, 2018 | 11 | 2018 |
| Online app review analysis for identifying emerging issues. In 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) C Gao, J Zeng, MR Lyu, I King IEEE, 2018 | 7 | 2018 |
| Automating app review response generation. In 2019 34th IEEE C Gao, J Zeng, X Xia, D Lo, MR Lyu, I King ACM International Conference on Automated Software Engineering (ASE), 163-175, 0 | 7 | |
| Enhancing Text-to-SQL Parsing through Question Rewriting and Execution-Guided Refinement W Mao, R Wang, J Guo, J Zeng, C Gao, P Han, C Liu Findings of the Association for Computational Linguistics ACL 2024, 2009-2024, 2024 | 4 | 2024 |
| A comparison of lasso-type algorithms on distributed parallel machine learning platforms J Zeng, H Yang, I King, MR Lyu Proceedings of NIPS, Workshop: Distributed Machine Learning and Matrix …, 2014 | 2 | 2014 |
| An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis C Gao, J Zeng, D Lo, X Xia, I King, MR Lyu arXiv preprint arXiv:2008.12112, 2020 | 1 | 2020 |
| Latent Variable Modeling for Natural Language Understanding J Zeng PQDT-Global, 2019 | | 2019 |
