| Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks B Liang, H Su, L Gui, E Cambria, R Xu Knowledge-Based Systems 235, 107643, 2022 | 395 | 2022 |
| Event-Driven Emotion Cause Extraction with Corpus Construction L Gui, D Wu, R Xu, Q Lu, Y Zhou Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 245 | 2016 |
| 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 | 234 | 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 | 174 | 2017 |
| Topic-driven and knowledge-aware transformer for dialogue emotion detection L Zhu, G Pergola, L Gui, D Zhou, Y He arXiv preprint arXiv:2106.01071, 2021 | 140 | 2021 |
| Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks Q Wei, T Chen, R Xu, Y He, L Gui Database 2016, baw140, 2016 | 121 | 2016 |
| 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 | 112 | 2020 |
| Emotion cause detection with linguistic construction in chinese weibo text L Gui, L Yuan, R Xu, B Liu, Q Lu, Y Zhou Natural Language Processing and Chinese Computing: Third CCF Conference …, 2014 | 105 | 2014 |
| 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 | 102 | 2020 |
| Learning representations from heterogeneous network for sentiment classification of product reviews L Gui, Y Zhou, R Xu, Y He, Q Lu Knowledge-Based Systems 124, 34-45, 2017 | 96 | 2017 |
| Multi-modal sarcasm detection via cross-modal graph convolutional network B Liang, C Lou, X Li, M Yang, L Gui, Y He, W Pei, R Xu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 91 | 2022 |
| 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 | 82 | 2018 |
| 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 | 80 | 2018 |
| Inferring affective meanings of words from word embedding M Li, Q Lu, Y Long, L Gui IEEE Transactions on Affective Computing 8 (4), 443-456, 2017 | 75 | 2017 |
| Zero-shot stance detection via contrastive learning B Liang, Z Chen, L Gui, Y He, M Yang, R Xu Proceedings of the ACM Web Conference 2022, 2738-2747, 2022 | 74 | 2022 |
| 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 | 73 | 2019 |
| 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 | 73 | 2016 |
| 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 | 72 | 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 | 71 | 2019 |
| Multi-modal sarcasm detection with interactive in-modal and cross-modal graphs B Liang, C Lou, X Li, L Gui, M Yang, R Xu Proceedings of the 29th ACM international conference on multimedia, 4707-4715, 2021 | 70 | 2021 |
Ruifeng XuProfessor, Harbin Institute of Technology at ShenzhenVerified email at hit.edu.cn
