| Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN T Chen, R Xu, Y He, X Wang Expert Systems with Applications 72, 221-230, 2017 | 776 | 2017 |
| 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 | 323 | 2022 |
| iDNA-Prot| dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition B Liu, J Xu, X Lan, R Xu, J Zhou, X Wang, KC Chou PloS one 9 (9), e106691, 2014 | 314 | 2014 |
| Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection B Liu, D Zhang, R Xu, J Xu, X Wang, Q Chen, Q Dong, KC Chou Bioinformatics 30 (4), 472-479, 2014 | 298 | 2014 |
| A challenge dataset and effective models for aspect-based sentiment analysis Q Jiang, L Chen, R Xu, X Ao, M Yang Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 288 | 2019 |
| Event-driven emotion cause extraction with corpus construction L Gui, R Xu, D Wu, Q Lu, Y Zhou Social Media Content Analysis: Natural Language Processing and Beyond, 145-160, 2018 | 228 | 2018 |
| 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 | 217 | 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 | 173 | 2017 |
| PseDNA‐Pro: DNA‐binding protein identification by combining Chou’s PseAAC and physicochemical distance transformation B Liu, J Xu, S Fan, R Xu, J Zhou, X Wang Molecular Informatics 34 (1), 8-17, 2015 | 169 | 2015 |
| Learning user and product distributed representations using a sequence model for sentiment analysis T Chen, R Xu, Y He, Y Xia, X Wang IEEE Computational Intelligence Magazine 11 (3), 34-44, 2016 | 131 | 2016 |
| 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 | 118 | 2016 |
| Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach R Xu, J Zhou, B Liu, Y He, Q Zou, X Wang, KC Chou Journal of Biomolecular Structure and Dynamics 33 (8), 1720-1730, 2015 | 105 | 2015 |
| Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation R Xu, J Zhou, H Wang, Y He, X Wang, B Liu BMC systems biology 9, 1-12, 2015 | 103 | 2015 |
| 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 | 103 | 2014 |
| Using distances between Top-n-gram and residue pairs for protein remote homology detection B Liu, J Xu, Q Zou, R Xu, X Wang, Q Chen BMC bioinformatics 15, 1-10, 2014 | 103 | 2014 |
| 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 | 101 | 2020 |
| Word embedding composition for data imbalances in sentiment and emotion classification R Xu, T Chen, Y Xia, Q Lu, B Liu, X Wang Cognitive Computation 7, 226-240, 2015 | 100 | 2015 |
| 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 | 94 | 2017 |
| 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 | 88 | 2020 |
| Introduction to Chinese natural language processing KF Wong, W Li, R Xu, Z Zhang Springer Nature, 2022 | 87 | 2022 |
Qin LuDepartment of Computing, Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
