| Neural networks for deceptive opinion spam detection: An empirical study Y Ren, D Ji Information Sciences 385, 213-224, 2017 | 280 | 2017 |
| Context-sensitive twitter sentiment classification using neural network Y Ren, Y Zhang, M Zhang, D Ji Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 197 | 2016 |
| A topic-enhanced word embedding for Twitter sentiment classification Y Ren, R Wang, D Ji Information Sciences 369, 188-198, 2016 | 173 | 2016 |
| Enriching contextualized language model from knowledge graph for biomedical information extraction H Fei, Y Ren, Y Zhang, D Ji, X Liang Briefings in bioinformatics 22 (3), bbaa110, 2021 | 159 | 2021 |
| Long short-term memory RNN for biomedical named entity recognition C Lyu, B Chen, Y Ren, D Ji BMC bioinformatics 18, 1-11, 2017 | 155 | 2017 |
| Latent emotion memory for multi-label emotion classification H Fei, Y Zhang, Y Ren, D Ji Proceedings of the AAAI conference on artificial intelligence 34 (05), 7692-7699, 2020 | 136 | 2020 |
| Positive unlabeled learning for deceptive reviews detection Y Ren, D Ji, H Zhang Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 127 | 2014 |
| Boundaries and edges rethinking: An end-to-end neural model for overlapping entity relation extraction H Fei, Y Ren, D Ji Information Processing & Management 57 (6), 102311, 2020 | 121 | 2020 |
| Deceptive opinion spam detection using neural network Y Ren, Y Zhang Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 121 | 2016 |
| MRN: A locally and globally mention-based reasoning network for document-level relation extraction J Li, K Xu, F Li, H Fei, Y Ren, D Ji Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 119 | 2021 |
| Learn from syntax: Improving pair-wise aspect and opinion terms extractionwith rich syntactic knowledge S Wu, H Fei, Y Ren, D Ji, J Li arXiv preprint arXiv:2105.02520, 2021 | 117 | 2021 |
| Improving twitter sentiment classification using topic-enriched multi-prototype word embeddings Y Ren, Y Zhang, M Zhang, D Ji Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 106 | 2016 |
| Twitter sarcasm detection exploiting a context-based model Z Wang, Z Wu, R Wang, Y Ren international conference on web information systems engineering, 77-91, 2015 | 103 | 2015 |
| Context-augmented convolutional neural networks for twitter sarcasm detection Y Ren, D Ji, H Ren Neurocomputing 308, 1-7, 2018 | 91 | 2018 |
| Matching structure for dual learning H Fei, S Wu, Y Ren, M Zhang international conference on machine learning, 6373-6391, 2022 | 90 | 2022 |
| Better combine them together! integrating syntactic constituency and dependency representations for semantic role labeling H Fei, S Wu, Y Ren, F Li, D Ji Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 85 | 2021 |
| A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records Y Ren, H Fei, X Liang, D Ji, M Cheng BMC medical informatics and decision making 19, 131-138, 2019 | 84 | 2019 |
| Retrofitting structure-aware transformer language model for end tasks H Fei, Y Ren, D Ji arXiv preprint arXiv:2009.07408, 2020 | 74 | 2020 |
| Nonautoregressive encoder–decoder neural framework for end-to-end aspect-based sentiment triplet extraction H Fei, Y Ren, Y Zhang, D Ji IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5544-5556, 2021 | 73 | 2021 |
| Learning to detect deceptive opinion spam: A survey Y Ren, D Ji IEEE Access 7, 42934-42945, 2019 | 71 | 2019 |
