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ORCIDJun Yan 0010
Person information
- affiliation: Yidu Cloud Technology Co. Ltd., Beijing, China
Other persons with the same name
- Jun Yan — disambiguation page
- Jun Yan 0001 — Microsoft Research Asia, Beijing, China (and 1 more)
- Jun Yan 0002
![[0000-0003-4401-7296]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4401-7296")
— University of Connecticut, Department of Statistics, Storrs, CT, USA (and 1 more) - Jun Yan 0003 — Wuhan University, School of Geodesy and Geomatics, Hubei, China
- Jun Yan 0004 — Chinese Academy of Sciences, CAS-MPG Partner Institute for Computational Biology, Shanghai, China
- Jun Yan 0005 — University of Wollongong, School of Information Technology and Computer Science, NSW, Australia (and 1 more)
- Jun Yan 0006 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China (and 3 more)
- Jun Yan 0007 — Concordia University, Concordia Institute for Information Systems Engineering, Montreal, QC, Canada (and 1 more)
- Jun Yan 0008 — Mathworks Inc., Natick, MA, USA (and 1 more)
- Jun Yan 0009 — Chinese Academy of Sciences, Institute of Software, Technology Center of Software Engineering, Beijing, China
- Jun Yan 0011 — China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan
- Jun Yan 0012 — University of Southern California, CA, USA (and 1 more)
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2020 – today
- 2023
[j20]Shaobo Wang, Xinhui Du, Guangliang Liu, Hang Xing, Zengtao Jiao, Jun Yan, Youjun Liu, Haichen Lv, Yunlong Xia:
An Interpretable Data-Driven Medical Knowledge Discovery Pipeline Based on Artificial Intelligence. IEEE J. Biomed. Health Informatics 27(10): 5099-5109 (2023)- 2022
- [j19]Ying Xiong, Hao Peng, Yang Xiang, Ka-Chun Wong, Qingcai Chen, Jun Yan, Buzhou Tang:
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network. J. Biomed. Informatics 128: 104035 (2022) - [j18]Likeng Liang, Tianyong Hao, Choujun Zhan, Hong Qiu, Fu Lee Wang, Jun Yan, Heng Weng, Yingying Qu:
Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention. Neural Comput. Appl. 34(19): 16311-16324 (2022) - [c12]Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 2022: 7888-7915 - [c11]Zhenjie Huang, Likeng Liang, Xiaozhi Zhu, Heng Weng, Jun Yan, Tianyong Hao:
An Improved Partition Filter Network for Entity-Relation Joint Extraction. NCAA (1) 2022: 129-141 - 2021
- [j17]Ying Xiong, Shuai Chen, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Jun Yan, Yi Zhou:
Improving deep learning method for biomedical named entity recognition by using entity definition information. BMC Bioinform. 22(1): 600 (2021) - [j16]Shanshan Liu, Wenjie Nie, Dongfa Gao, Hao Yang, Jun Yan, Tianyong Hao:
Clinical quantitative information recognition and entity-quantity association from Chinese electronic medical records. Int. J. Mach. Learn. Cybern. 12(1): 117-130 (2021) - [i2]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR abs/2106.08087 (2021) - 2020
- [j15]Linfeng Li, Peng Wang, Jun Yan, Yao Wang, Simin Li, Jinpeng Jiang, Zhe Sun, Buzhou Tang, Tsung-Hui Chang, Shenghui Wang, Yuting Liu:
Real-world data medical knowledge graph: construction and applications. Artif. Intell. Medicine 103: 101817 (2020) - [j14]Yang An, Yakun Mao, Liang Zhang, Bo Jin, Keli Xiao, Xiaopeng Wei, Jun Yan:
RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking. J. Biomed. Informatics 108: 103502 (2020) - [j13]Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan, Buzhou Tang:
Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity. BMC Medical Informatics Decis. Mak. 20-S(1): 72 (2020) - [j12]Yang An, Jianlin Wang, Liang Zhang, Hanyu Zhao, Zhan Gao, Haitao Huang, Zhenguang Du, Zengtao Jiao, Jun Yan, Xiaopeng Wei, Bo Jin:
PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text. BMC Medical Informatics Decis. Mak. 20(1): 204 (2020) - [j11]Sicen Liu, Tao Liu, Haoyang Ding, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou:
A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction. Int. J. Mach. Learn. Cybern. 11(12): 2849-2856 (2020) - [c10]Pengjie Ding, Lei Wang, Yaobo Liang, Wei Lu, Linfeng Li, Chun Wang, Buzhou Tang, Jun Yan:
Cross-Lingual Transfer Learning for Medical Named Entity Recognition. DASFAA (1) 2020: 403-418
2010 – 2019
- 2019
- [j10]Ying Xiong, Xue Shi, Shuai Chen, Dehuan Jiang, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan:
Cohort selection for clinical trials using hierarchical neural network. J. Am. Medical Informatics Assoc. 26(11): 1203-1208 (2019) - [j9]Xieling Chen, Yonghui Lun, Jun Yan, Tianyong Hao, Heng Weng:
Discovering thematic change and evolution of utilizing social media for healthcare research. BMC Medical Informatics Decis. Mak. 19-S(2): 39-53 (2019) - [j8]Ying Xiong, Zhongmin Wang, Dehuan Jiang, Xiaolong Wang, Qingcai Chen, Hua Xu, Jun Yan, Buzhou Tang:
A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text. BMC Medical Informatics Decis. Mak. 19-S(2): 179-184 (2019) - [j7]Buzhou Tang, Xiaolong Wang, Jun Yan, Qingcai Chen:
Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF. BMC Medical Informatics Decis. Mak. 19-S(3): 89-97 (2019) - [j6]Xue Shi, Dehuan Jiang, Yuanhang Huang, Xiaolong Wang, Qingcai Chen, Jun Yan, Buzhou Tang:
Family history information extraction via deep joint learning. BMC Medical Informatics Decis. Mak. 19-S(10): 277 (2019) - [c9]Buzhou Tang, Dehuan Jiang, Qingcai Chen, Xiaolong Wang, Jun Yan, Ying Shen:
De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models. AMIA 2019 - [c8]Ying Xiong, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Jun Yan:
A Study on Automatic Generation of Chinese Discharge Summary. BIBM 2019: 1681-1687 - [c7]Ying Xiong, Yedan Shen, Yuanhang Huang, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou:
A Deep Learning-Based System for PharmaCoNER. BioNLP-OST@EMNLP-IJNCLP 2019: 33-37 - [c6]Jiangtao Zhang, Juanzi Li, Zengtao Jiao, Jun Yan:
Overview of CCKS 2018 Task 1: Named Entity Recognition in Chinese Electronic Medical Records. CCKS 2019: 158-164 - [c5]Xieling Chen, Xinxin Zhang, Haoran Xie, Fu Lee Wang, Jun Yan, Tianyong Hao:
Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach. HBAI@IJCAI 2019: 69-83 - [c4]Yong Zhang, Jun Yan, Haitao Huang, Christopher Yencha:
Applying Attention Mechanism and Deep Neural Network for Medical Object Segmentation and Classification in X-Ray Fluoroscopy Images. HBAI@IJCAI 2019: 101-110 - [c3]Dehuan Jiang, Yedan Shen, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Ruifeng Xu, Jun Yan, Yi Zhou:
A Deep Learning-Based System for the MEDDOCAN Task. IberLEF@SEPLN 2019: 761-767 - [c2]Shuai Chen, Yuanhang Huang, Xiaowei Huang, Haoming Qin, Jun Yan, Buzhou Tang:
HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets. SMM4H@ACL 2019: 47-51 - [i1]Linfeng Li, Peng Wang, Yao Wang, Jinpeng Jiang, Buzhou Tang, Jun Yan, Shenghui Wang, Yuting Liu:
PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data. CoRR abs/1909.00672 (2019) - 2018
- [j5]Haodi Li, Ming Yang, Qingcai Chen, Buzhou Tang, Xiaolong Wang, Jun Yan:
Chemical-induced disease extraction via recurrent piecewise convolutional neural networks. BMC Medical Informatics Decis. Mak. 18(S-2): 45-51 (2018) - [j4]Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao, Ruoyao Ding:
A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017. BMC Medical Informatics Decis. Mak. 18(S-5): 55-69 (2018) - [j3]Tianyong Hao, Xieling Chen, Guozheng Li, Jun Yan:
A bibliometric analysis of text mining in medical research. Soft Comput. 22(23): 7875-7892 (2018) - [j2]Wenxiu Xie, Ruoyao Ding, Jun Yan, Yingying Qu:
A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management. Wirel. Commun. Mob. Comput. 2018: 9163160:1-9163160:14 (2018) - 2017
- [j1]Pengwei Wang, Tianyong Hao, Jun Yan, Lianwen Jin:
Large-scale extraction of drug-disease pairs from the medical literature. J. Assoc. Inf. Sci. Technol. 68(11): 2649-2661 (2017) - [c1]Ruichu Cai, Binjun Zhu, Lei Ji, Tianyong Hao, Jun Yan, Wenyin Liu:
An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities. ICDM Workshops 2017: 430-437
Coauthor Index
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