| Stance classification with target-specific neural attention networks J Du, R Xu, Y He, L Gui 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 …, 2017 | 220 | 2017 |
| A question answering approach to emotion cause extraction L Gui, J Hu, Y He, R Xu, Q Lu, J Du arXiv preprint arXiv:1708.05482, 2017 | 175 | 2017 |
| Transition-based directed graph construction for emotion-cause pair extraction C Fan, C Yuan, J Du, L Gui, M Yang, R Xu Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 104 | 2020 |
| Jointly learning aspect-focused and inter-aspect relations with graph convolutional networks for aspect sentiment analysis B Liang, R Yin, L Gui, J Du, R Xu Proceedings of the 28th international conference on computational …, 2020 | 89 | 2020 |
| A convolutional attention model for text classification J Du, L Gui, R Xu, Y He Natural Language Processing and Chinese Computing: 6th CCF International …, 2018 | 77 | 2018 |
| A knowledge regularized hierarchical approach for emotion cause analysis C Fan, H Yan, J Du, L Gui, L Bing, M Yang, R Xu, R Mao Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 70 | 2019 |
| Improving empathetic response generation by recognizing emotion cause in conversations J Gao, Y Liu, H Deng, W Wang, Y Cao, J Du, R Xu Findings of the association for computational linguistics: EMNLP 2021, 807-819, 2021 | 69 | 2021 |
| A novel convolutional neural networks for emotion recognition based on EEG signal Z Wen, R Xu, J Du 2017 International Conference on Security, Pattern Analysis, and Cybernetics …, 2017 | 69 | 2017 |
| Overview of nlpcc shared task 4: Stance detection in chinese microblogs R Xu, Y Zhou, D Wu, L Gui, J Du, Y Xue Natural Language Understanding and Intelligent Applications: 5th CCF …, 2016 | 69 | 2016 |
| Negative transfer detection in transductive transfer learning L Gui, R Xu, Q Lu, J Du, Y Zhou International Journal of Machine Learning and Cybernetics 9, 185-197, 2018 | 68 | 2018 |
| Convolution-based memory network for aspect-based sentiment analysis C Fan, Q Gao, J Du, L Gui, R Xu, KF Wong The 41st International ACM SIGIR conference on research & development in …, 2018 | 66 | 2018 |
| Convolution-based neural attention with applications to sentiment classification J Du, L Gui, Y He, R Xu, X Wang IEEE Access 7, 27983-27992, 2019 | 65 | 2019 |
| Target-adaptive graph for cross-target stance detection B Liang, Y Fu, L Gui, M Yang, J Du, Y He, R Xu Proceedings of the Web Conference 2021, 3453-3464, 2021 | 56 | 2021 |
| Context-aware embedding for targeted aspect-based sentiment analysis B Liang, J Du, R Xu, B Li, H Huang arXiv preprint arXiv:1906.06945, 2019 | 48 | 2019 |
| Variational autoregressive decoder for neural response generation J Du, W Li, Y He, R Xu, L Bing, X Wang Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 46 | 2018 |
| Sememe knowledge and auxiliary information enhanced approach for sarcasm detection Z Wen, L Gui, Q Wang, M Guo, X Yu, J Du, R Xu Information Processing & Management 59 (3), 102883, 2022 | 28 | 2022 |
| A neural transition-based model for argumentation mining J Bao, C Fan, J Wu, Y Dang, J Du, R Xu Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 27 | 2021 |
| Commonsense knowledge enhanced memory network for stance classification J Du, L Gui, R Xu, Y Xia, X Wang IEEE Intelligent Systems 35 (4), 102-109, 2020 | 21 | 2020 |
| Enhancing zero-shot stance detection via targeted background knowledge Q Zhu, B Liang, J Sun, J Du, L Zhou, R Xu Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 20 | 2022 |
| Hybrid neural attention for agreement/disagreement inference in online debates D Chen, J Du, L Bing, R Xu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 17 | 2018 |
Ruifeng XuProfessor, Harbin Institute of Technology at ShenzhenDirección de correo verificada de hit.edu.cn
