Bin He
Bin He
Huawei Noah's Ark Lab
Verified email at huawei.com
Title
Cited by
Cited by
Year
Classifying medical relations in clinical text via convolutional neural networks
B He, Y Guan, R Dai
Artificial intelligence in medicine 93, 43-49, 2019
512019
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
342017
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
342015
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
292017
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
232018
Corpus construction for named entities and entity relations on Chinese electronic medical records
JF Yang, Y Guan, B He, C Qu, Q Yu, Y Liu, Y Zhao
J Softw 27 (11), 2725-46, 2016
222016
Integrating graph contextualized knowledge into pre-trained language models
B He, D Zhou, J Xiao, Q Liu, NJ Yuan, T Xu
arXiv preprint arXiv:1912.00147, 2019
212019
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
Journal of Software 27 (11), 2016
172016
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
122019
Convolutional gated recurrent units for medical relation classification
B He, Y Guan, R Dai
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
102018
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records
J Su, B He, Y Guan, J Jiang, J Yang
BMC medical informatics and decision making 17 (1), 1-11, 2017
72017
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
42021
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models
Z Zhang, X Liu, Y Zhang, Q Su, X Sun, B He
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
32020
Representing words as lymphocytes
J Yang, Y Guan, X Dong, B He
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
32014
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 e-prints, arXiv: 2007.03875, 2020
22020
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
自动化学报 45 (2), 420-426, 2019
22019
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
12021
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
12020
基于字级别条件随机场的医学实体识别
何彬, 关毅
收藏 2, 2019
12019
De-identification on electronic medical records using a two tier classifier based on SVM and CRF
JY Cheng, Y Guan, B He
Intell Comp Appl 6 (6), 17-19, 2016
12016
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