| BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models B He, D Zhou, J Xiao, Q Liu, NJ Yuan, T Xu https://aclanthology.org/2020.findings-emnlp.207/, 2020 | 145* | 2020 |
| Be careful about poisoned word embeddings: Exploring the vulnerability of the embedding layers in nlp models W Yang, L Li, Z Zhang, X Ren, X Sun, B He arXiv preprint arXiv:2103.15543, 2021 | 109 | 2021 |
| Classifying medical relations in clinical text via convolutional neural networks B He, Y Guan, R Dai Artificial intelligence in medicine 93, 43-49, 2019 | 85 | 2019 |
| KQA pro: A dataset with explicit compositional programs for complex question answering over knowledge base S Cao, J Shi, L Pan, L Nie, Y Xiang, L Hou, J Li, B He, H Zhang arXiv preprint arXiv:2007.03875, 2020 | 77 | 2020 |
| CRFs based de-identification of medical records B He, Y Guan, J Cheng, K Cen, W Hua Journal of biomedical informatics 58, S39-S46, 2015 | 62 | 2015 |
| Corpus construction for named entities and entity relations on Chinese electronic medical records 杨锦锋， 关毅， 何彬， 曲春燕， 于秋滨， 刘雅欣， 赵永杰 Journal of software 27 (11), 2725-2746, 2016 | 57 | 2016 |
| Building a comprehensive syntactic and semantic corpus of Chinese clinical texts B He, B Dong, Y Guan, J Yang, Z Jiang, Q Yu, J Cheng, C Qu Journal of biomedical informatics 69, 203-217, 2017 | 51 | 2017 |
| De-identification of medical records using conditional random fields and long short-term memory networks Z Jiang, C Zhao, B He, Y Guan, J Jiang Journal of biomedical informatics 75, S43-S53, 2017 | 50 | 2017 |
| EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning C Zhao, J Jiang, Y Guan, X Guo, B He Artificial intelligence in medicine 87, 49-59, 2018 | 49 | 2018 |
| Pretrain-KGE: learning knowledge representation from pretrained language models Z Zhang, X Liu, Y Zhang, Q Su, X Sun, B He Findings of the Association for Computational Linguistics: EMNLP 2020, 259-266, 2020 | 36 | 2020 |
| 中文电子病历命名实体和实体关系语料库构建 杨锦锋， 关毅， 何彬， 曲春燕， 于秋滨， 刘雅欣， 赵永杰 软件学报 27 (11), 2725-2746, 2016 | 35 | 2016 |
| A global past-future early exit method for accelerating inference of pre-trained language models K Liao, Y Zhang, X Ren, Q Su, X Sun, B He Proceedings of the 2021 conference of the north american chapter of the …, 2021 | 34 | 2021 |
| DISCOS: bridging the gap between discourse knowledge and commonsense knowledge T Fang, H Zhang, W Wang, Y Song, B He Proceedings of the Web Conference 2021, 2648-2659, 2021 | 34 | 2021 |
| Benchmarking commonsense knowledge base population with an effective evaluation dataset T Fang, W Wang, S Choi, S Hao, H Zhang, Y Song, B He arXiv preprint arXiv:2109.07679, 2021 | 20 | 2021 |
| Extraction of risk factors for cardiovascular diseases from Chinese electronic medical records J Su, J Hu, J Jiang, J Xie, Y Yang, B He, J Yang, Y Guan Computer methods and programs in biomedicine 172, 1-10, 2019 | 20 | 2019 |
| Convolutional gated recurrent units for medical relation classification B He, Y Guan, R Dai 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 16 | 2018 |
| Kgplm: Knowledge-guided language model pre-training via generative and discriminative learning B He, X Jiang, J Xiao, Q Liu arXiv preprint arXiv:2012.03551, 2020 | 14 | 2020 |
| Kqa pro: A large diagnostic dataset for complex question answering over knowledge base J Shi, S Cao, L Pan, Y Xiang, L Hou, J Li, H Zhang, B He arXiv preprint arXiv:2007.03875, 2020 | 14 | 2020 |
| UniDS: A unified dialogue system for chit-chat and task-oriented dialogues X Zhao, B He, Y Wang, Y Li, F Mi, Y Liu, X Jiang, Q Liu, H Chen arXiv preprint arXiv:2110.08032, 2021 | 12 | 2021 |
| 基于中文电子病历的心血管疾病风险因素标注体系及语料库构建 苏嘉， 何彬， 吴昊， 杨锦锋， 关毅， 姜京池， 王焕政， 于秋滨 ACTA AUTOMATICA SINICA 45 (2), 2019 | 11 | 2019 |
Yi GuanProfessor of Computer Science and technology, Harbin Institute of technologyBestätigte E-Mail-Adresse bei hit.edu.cn
