Jun Yan

According to our database, Jun Yan authored at least 34 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Interpretable Data-Driven Medical Knowledge Discovery Pipeline Based on Artificial Intelligence.

Shaobo Wang, Xinhui Du, Guangliang Liu, Hang Xing, Zengtao Jiao, Jun Yan, Youjun Liu, Haichen Lv, Yunlong Xia

IEEE J. Biomed. Health Informatics, October, 2023

2022

Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention.

Likeng Liang, Tianyong Hao, Choujun Zhan, Hong Qiu, Fu Lee Wang, Jun Yan, Heng Weng, Yingying Qu

Neural Comput. Appl., 2022

Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network.

Ying Xiong, Hao Peng, Yang Xiang, Ka-Chun Wong, Qingcai Chen, Jun Yan, Buzhou Tang

J. Biomed. Informatics, 2022

An Improved Partition Filter Network for Entity-Relation Joint Extraction.

Zhenjie Huang, Likeng Liang, Xiaozhi Zhu, Heng Weng, Jun Yan, Tianyong Hao

Proceedings of the Neural Computing for Advanced Applications, 2022

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Clinical quantitative information recognition and entity-quantity association from Chinese electronic medical records.

Shanshan Liu, Wenjie Nie, Dongfa Gao, Hao Yang, Jun Yan, Tianyong Hao

Int. J. Mach. Learn. Cybern., 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.

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

CoRR, 2021

Improving deep learning method for biomedical named entity recognition by using entity definition information.

Ying Xiong, Shuai Chen, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Jun Yan, Yi Zhou

BMC Bioinform., 2021

2020

Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity.

Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan, Buzhou Tang

BMC Medical Informatics Decis. Mak., April, 2020

A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction.

Sicen Liu, Tao Liu, Haoyang Ding, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou

Int. J. Mach. Learn. Cybern., 2020

PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text.

Yang An, Jianlin Wang, Liang Zhang, Hanyu Zhao, Zhan Gao, Haitao Huang, Zhenguang Du, Zengtao Jiao, Jun Yan, Xiaopeng Wei, Bo Jin

BMC Medical Informatics Decis. Mak., 2020

RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking.

Yang An, Yakun Mao, Liang Zhang, Bo Jin, Keli Xiao, Xiaopeng Wei, Jun Yan

J. Biomed. Informatics, 2020

Real-world data medical knowledge graph: construction and applications.

Linfeng Li, Peng Wang, Jun Yan, Yao Wang, Simin Li, Jinpeng Jiang, Zhe Sun, Buzhou Tang, Tsung-Hui Chang, Shenghui Wang, Yuting Liu

Artif. Intell. Medicine, 2020

Cross-Lingual Transfer Learning for Medical Named Entity Recognition.

Pengjie Ding, Lei Wang, Yaobo Liang, Wei Lu, Linfeng Li, Chun Wang, Buzhou Tang, Jun Yan

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Family history information extraction via deep joint learning.

Xue Shi, Dehuan Jiang, Yuanhang Huang, Xiaolong Wang, Qingcai Chen, Jun Yan, Buzhou Tang

BMC Medical Informatics Decis. Mak., December, 2019

A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text.

Ying Xiong, Zhongmin Wang, Dehuan Jiang, Xiaolong Wang, Qingcai Chen, Hua Xu, Jun Yan, Buzhou Tang

BMC Medical Informatics Decis. Mak., 2019

Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF.

Buzhou Tang, Xiaolong Wang, Jun Yan, Qingcai Chen

BMC Medical Informatics Decis. Mak., 2019

Discovering thematic change and evolution of utilizing social media for healthcare research.

Xieling Chen, Yonghui Lun, Jun Yan, Tianyong Hao, Heng Weng

BMC Medical Informatics Decis. Mak., 2019

Cohort selection for clinical trials using hierarchical neural network.

Ying Xiong, Xue Shi, Shuai Chen, Dehuan Jiang, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan

J. Am. Medical Informatics Assoc., 2019

PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data.

Linfeng Li, Peng Wang, Yao Wang, Jinpeng Jiang, Buzhou Tang, Jun Yan, Shenghui Wang, Yuting Liu

CoRR, 2019

HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets.

Shuai Chen, Yuanhang Huang, Xiaowei Huang, Haoming Qin, Jun Yan, Buzhou Tang

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

A Deep Learning-Based System for the MEDDOCAN Task.

Dehuan Jiang, Yedan Shen, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Ruifeng Xu, Jun Yan, Yi Zhou

Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

Applying Attention Mechanism and Deep Neural Network for Medical Object Segmentation and Classification in X-Ray Fluoroscopy Images.

Yong Zhang, Jun Yan, Haitao Huang, Christopher Yencha

Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach.

Xieling Chen, Xinxin Zhang, Haoran Xie, Fu Lee Wang, Jun Yan, Tianyong Hao

Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Overview of CCKS 2018 Task 1: Named Entity Recognition in Chinese Electronic Medical Records.

Jiangtao Zhang, Juanzi Li, Zengtao Jiao, Jun Yan

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

A Deep Learning-Based System for PharmaCoNER.

Ying Xiong, Yedan Shen, Yuanhang Huang, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou

Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

A Study on Automatic Generation of Chinese Discharge Summary.

Ying Xiong, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Jun Yan

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models.

Buzhou Tang, Dehuan Jiang, Qingcai Chen, Xiaolong Wang, Jun Yan, Ying Shen

Proceedings of the AMIA 2019, 2019

2018

A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management.

Wenxiu Xie, Ruoyao Ding, Jun Yan, Yingying Qu

Wirel. Commun. Mob. Comput., 2018

A bibliometric analysis of text mining in medical research.

Tianyong Hao, Xieling Chen, Guozheng Li, Jun Yan

Soft Comput., 2018

Chemical-induced disease extraction via recurrent piecewise convolutional neural networks.

Haodi Li, Ming Yang, Qingcai Chen, Buzhou Tang, Xiaolong Wang, Jun Yan

BMC Medical Informatics Decis. Mak., 2018

A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017.

Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao, Ruoyao Ding

BMC Medical Informatics Decis. Mak., 2018

2017

Large-scale extraction of drug-disease pairs from the medical literature.

Pengwei Wang, Tianyong Hao, Jun Yan, Lianwen Jin

J. Assoc. Inf. Sci. Technol., 2017

An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities.

Ruichu Cai, Binjun Zhu, Lei Ji, Tianyong Hao, Jun Yan, Wenyin Liu

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017