汤步洲 - 哈尔滨工业大学（深圳） - 计算机科学与技术学院

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汤步洲副教授博士生导师收藏完善纠错
哈尔滨工业大学（深圳）计算机科学与技术学院
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个人简介

汤步洲，男，哈尔滨工业大学（深圳），特聘研究员/副教授、博士生导师，鹏城实验室兼职研究员。1984年12月生，博士（后），OHDSI中国组核心成员，中文信息学会“医疗健康与生物信息处理”专业委员会副主任兼秘书长，人工智能学会青年工作委员会委员，中文信息学会青年工作委员会执行委员，中国计算机学会YOCSEF深圳副主席，中国人工智能学会青年工作委员会委员，中国中文信息学会语言与知识计算专业委员会委员，中国计算机学会中文信息技术专业委员会委员，中国生物医学工程学会数字医疗与医疗信息化专业委员会，中华医学会大数据与人工智能学组委员，中国医院协会健康医疗大数据专委会委员。2005年7月毕业于吉林大学获计算机科学与技术专业理学学士学位，同年保送哈尔滨工业大学攻读博士学位，2011年3月毕业于哈尔滨工业大学获计算机应用专业工学博士学位。2011年7月进入哈尔滨工业大学博士后流动站从事博士后研究工作，同年12月赴美访问至2013年7月。访美期间先后在美国范德堡大学医学信息系和德州大学休斯敦健康科学中心生物医学信息学院做博士后研究员。主要研究方向包括机器学习、数据挖掘、自然语言处理、医学信息学、语音合成等。近年来，在国际知名期刊和会议上发表学术论文一百二十多篇，其中SCI检索论文60多篇；申请发明专利10多项，获发明专利3项；相关研究成果获省一等奖1项，市科技创新奖1项，市自然科学技术二等奖1项；组织参加相关研究领域国际评测，15次获得第一名；2次获得最佳会议论文奖，论文Google scholar引用2600+次，H-index为28 (https://scholar.google.com/citations?user=5oGXsxUAAAAJ&hl=zh-CN&oi=ao)。担任重要国际期刊Journal of Biomedical Informatics编委，JMIR medical informatics客座编委，IEEE Transactions on Neural Networks and Learning Systems，IEEE Transactions on Knowledge and Data Engineering，Journal of the American Medical Informatics Association等审稿人。参与完成多项国家863（包括目标导向重点）、自然科学基金（包括重点）和省市科技项目。先后承担国家、省市、企业合作项目二十多项。教育经历 2005/09 – 2011/03 哈尔滨工业大学，深圳研究生院计算机科学与技术系，研究生/硕、博士（工学） 2001/09 – 2005/07 吉林大学，计算机科学与技术，本科/学士（理学）研究与工作经历 2016/07至今哈尔滨工业大学，深圳研究生院，副教授，博士生导师 2015/04 – 2016/07 哈尔滨工业大学，深圳研究生院，助理研究员 2011/07 – 2015/03 哈尔滨工业大学，深圳研究生院，博士后 2012/12 – 2013/07 美国德克萨斯大学休斯敦健康科学中心，医学信息系，博士后研究员 2011/12 – 2012/12 美国范德堡大学，医学信息系，博士后研究员科研项目 2015-2017 自然科学基金（青年）：面向临床医疗文本的实体时序化问题研究（主持） 2011-2013 博士后科学基金：在线半监督结构化预测技术研究（主持） 2016-2017 符号计算与知识工程教育部重点实验室开放基金：面向全科诊疗的中文知识图谱自动构建方法研究（主持） 2016-2018 深圳市创新基金：中文浅层医疗知识图谱自动构建方法研究（主持） 2016-2017 CCF-腾讯犀牛鸟创新基金：基于临床医疗中文知识图谱的互联网医疗（主持） 2016-2017 哈尔滨工业大学科研创新基金：临床医学文本中实体时间标引（主持） 2015-2016 公司合作项目：智能预诊（主持） 2016-2017 哈尔滨工业大学启动：临床医学自然语言处理技术（主持） 2017-2019 深圳市高层次人才启动：中文临床医疗文本处理和知识挖掘基础理论研究（主持） 2005-2008 国家自然科学基金重点项目：问答式信息检索理论与方法研究（参与） 2006-2008 国家863项目（目标导向类）：基于NLP的智能搜索引擎（参与） 2007-2009 国家863项目：基于手势的拟人化人机交互系统（参与） 2010-2012 国家自然科学基金：面向网络知识服务的中文动态语义分析关键技术研究（参与） 2013-2016 国家自然科学基金：面向真实环境的异构信息交互式问答理论与方法研究（参与） 2014-2017 国家自然科学基金：文本情绪计算框架、模型和方法研究（参与） 2016-2018 广东省重大科技计划：基于心电信息大数据处理的心脏病猝死的早期预警及其设备研发（参与） 2017-2019 深圳市创新基金：基于电子病历分析的疾病分析评估方法研究（参与） 2019-2022 国家自然科学基金联合重点项目（课题）：面向家政作业的服务机器人的知识学习与验证（主持） 2019-2022 国家自然科学基金：基于电子病历分析的慢病趋势预测方法研究（主持） 2019-2021 深圳市创新基金：基于社交媒体数据分析的药物潜在副作用挖掘（主持） 2019-2020 公司合作项目：面向广告文本的语音合成（主持） 2019-2021 公司合作项目：面向中小学教育的语音合成（主持） 2020-2021 公司合作项目：基于深度学习的语音合成技术（主持） 2020-2022 广东省自然科学基金：基于深度联合学习的医疗实体及属性联合抽取（主持） 2021-2023 公司合作项目：身心疾病知识图谱构建（主持） 2021-2022 公司合作项目：口语评估技术研发（主持） 2021-2023 深圳市高校稳定支持计划：医疗事件抽取理论与方法研究（主持） 2021-2024 公司合作项目：哈工大（深圳）-生命奇点医疗人工智能联合实验室（主持）

研究领域

人工智能，自然语言处理，知识图谱，生物医学信息学，多媒体信息处理

近期论文

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书籍章节 Mei Liu, Yong Hu, Buzhou Tang. Role of Text Mining in Early Identification of Potential Drug Safety Issues (Chapter 13). Biomedical Literature Mining, Methods in Molecular Biology, 1159:227-251. Humana Press. 2014. 期刊论文 Xiong Y, Shi X, Chen S, Jiang D, Tang B*, Wang X, et al. Cohort selection for clinical trials using hierarchical neural network. Journal of the American Medical Informatics Association. 2019;26(11):1203–1208. （SCI，IF=4.5）(医学信息学顶级期刊) Shi X, Yi Y, Xiong Y, Tang B*, Chen Q, Wang X, et al. Extracting entities with attributes in clinical text via joint deep learning. Journal of the American Medical Informatics Association. 2019;26(12):1584–1591. (JCR一区, 5-year IF: 3.504) (医学信息学顶级期刊) Buzhou Tang, Yonghui Wu, Min Jiang, Yukun Chen, Joshua C Denny, Hua Xu. A hybrid system for temporal information extraction from clinical text. Journal of the American Medical Informatics Association. 20(5):828–835, 2013. (JCR一区, IF: 3.932) (医学信息学顶级期刊) Buzhou Tang, Yudong Feng, Xiaolong Wang, Yonghui Wu, Yaoyun Zhang, Min Jiang, Jingqi Wang, Hua Xu. A Comparision of Conditional Random Fields and Structured Support Vector Machines for Chemical Entity Recognition in Biomedical Literature. Journal of Cheminformatics, 7(Suppl 1):S8. 2015. (JCR一区, IF: 3.949) (多学科权威期刊) Jianbo Lei, Buzhou Tang？, Xueqin Lu, Kaihua Gao, Min Jiang, Hua Xu. A Comprehensive Study of Named Entity Recognition in Chinese Clinical Text. Journal of the American Medical Informatics Association. 21(5):808-814, 2014. (JCR一区, IF: 3.504) (医学信息学顶级期刊) Yaoyun Zhang, Buzhou Tang？, Min Jiang, Jingqi Wang, Yonghui Wu, Hua Xu. Domain Adaptation for Semantic Role Labeling of Clinical Text. Journal of the American Medical Informatics Association. 22(5):967-979. 2015. (JCR一区, IF: 3.428) (医学信息学顶级期刊) Ying Xiong, Weihua Peng, Qingcai Chen, Zhengxing Huang*, Buzhou Tang*, A Unified Machine Reading Comprehension Framework for Cohort Selection. IEEE Journal of Biomedical and Health Informatics. (JCR一区, IF: 5.7) (生物医学信息学领域权威期刊) Haodi Li, Buzhou Tang*, Qingcai Chen, Kai Chen, Xiaolong Wang, Baohua Wang, Zhe Wang. HITSZ_CDR:An End-to-end Chemical and Disease Relation Extraction System for BioCreative V. DATABASE. 2016: baw077doi: 10.1093/database/baw07. 2016. (JCR一区, IF: 3.297) (生物医学信息学领域权威期刊) 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. International Journal of Machine Learning and Cybernetics. 11(12): 2849-2856 (2020) (JCR一区) Zengjian Liu, Buzhou Tang*, Xiaolong Wang, Qingcai Chen. De-identification of Clinical Notes via Recurrent Neural Network and Conditional Random Field. Journal of Biomedical Informatics. 2017. (JCR一区, IF: 2.447) (医学信息学权威期刊) Haodi Li, Qingcai Chen, Buzhou Tang*, Xiaolong Wang, Hua Xu, Baohua Wang, Dong Huang. CNN-based ranking for biomedical entity normalization. BMC bioinformatics. 18(11): 385. 2017. (JCR一区, IF: 2.213) (生物医学信息学权威期刊) Zengjian Liu, Yangxin Chen, Buzhou Tang*, Xiaolong Wang, Qingcai Chen, Haodi Li, Jingfeng Wang, Qiwen Deng, Suisong Zhu. Automatic De-identification of Electronic Medical Records using Token-level and Character-level Conditional Random Fields. Journal of Biomedical Informatics. dio:10.1016/j.jbi.2015.06.009. 2015. (JCR一区, IF: 2.447) (医学信息学权威期刊) Qingcai Chen, Haodi Li, Buzhou Tang*, Xiaolong Wang, Xin Liu, Zengjian Liu, Shu Liu, Weida Wang, Qiwen Deng, Suisong Zhu, Yangxin Chen, Jingfeng Wang. An automatic risk factor identification system for heart disease in clinical texts over time. Journal of Biomedical Informatics. doi:10.1016/j.jbi.2015.09.002. 2015. (JCR一区, IF: 2.447) (医学信息学权威期刊) Yi Chen, Xiaolong Wang, Xin Xiang, Buzhou Tang*, Junzhao Bu. Network Structure Exploration via Bayesian Nonparametric Models. Journal of Statistical Mechanics: Theory and Experiment. 2015. doi:dx.doi.org/10.1088/1742-5468/2015/10/P10004. (JCR一区，IF: 2.091) (数学物理领域权威期刊) Yi Chen, Xiaolong Wang, Bo Yuan, Buzhou Tang*. Overlapping community detection in networks with positive and negative links. Journal of Statistical Mechanics: Theory and Experiment. 2014. doi:dx.doi.org/10.1088/1742-5468/2014/03/P03021. (JCR一区, IF: 2.404) (数学物理领域权威期刊) Yi Chen, Xiaolong Wang, Junzhao Bu, Buzhou Tang*, Xin Xiang. Network structure exploration in networks with node attributes. Physica A: Statistical Mechanics and its Applications. 499: 240–253. 2016. (JCR一区, IF: 2.243) (数学物理领域权威期刊) Yi Chen, Xiaolong Wang, Xin Xiang, Buzhou Tang*, Qingcai Chen, Shixi Fan, Junzhao Bu. Overlapping community detection in weighted networks via a Bayesian approach. Physica A: Statistical Mechanics and its Applications. 468:790-801. 2017. (JCR二区, IF: 2.132) (数学物理领域权威期刊) Yi Chen, Xiaolong Wang, Buzhou Tang*. Structural regularity exploration in multidimensional networks via Bayesian inference. Neural Computing & Applications. 29(9), 413-424. 2018. (JCR一区, 5-year IF: 2.697) (人工智能权威期刊) Kecheng Zhan, Weihua Peng, Ying Xiong, Huhao Fu, Qingcai Chen, Xiaolong Wang, Buzhou Tang*. Novel Graph-Based Model With Biaffine Attention for Family History Extraction From Clinical Text: Modeling Study. JMIR Medical Informatics. 9 (4), e23587. 2021. (JCR二区, IF: 2.96) Xiaofeng Wang, Shuai Chen, Tao Li, Wanting Li, Yejie Zhou, Jie Zheng, Qingcai Chen, Jun Yan, and Buzhou Tang*. Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis. JMIR Medical Informatics. 2020 Jul; 8(7): e17958. (JCR二区) Ying Xiong, Shuai Chen, Qingcai Chen, Jun Yan, Buzhou Tang*. Using Character-Level and Entity-Level Representations to Enhance Bidirectional Encoder Representation From Transformers-Based Clinical Semantic Textual Similarity Model: ClinicalSTS Modeling Study. JMIR Med Inform 2020;8(12):e23357. (JCR二区) Buzhou Tang, Hongxin Cao, Xiaolong Wang, Qingcai Chen, Hua Xu. Evaluating Word Representation Features in Biomedical Named Entity Recognition Tasks. Biomed Research International. vol. 2014, Article ID 240403, 6 pages, doi:10.1155/2014/240403. 2014. (JCR二区, IF: 3.169). Xiaoming Yu, Yedan Shen, Yuan Ni, Xiaowei Huang, Xiaolong Wang, Qingcai Chen, Buzhou Tang, CapsTM: capsule network for Chinese medical text matching. BMC Medical Informatics and Decision Making. 21-S(2): 94 , 2021. (JCR二区, 5-year IF: 2.587) Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan, and Buzhou Tang*: Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity. BMC Med Inform Decision Making. 2020; 20(Suppl 1): 72. (JCR二区, 5-year IF: 2.587) Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang*, Hua Xu. Temporal indexing of medical entity in Chinese clinical notes. BMC medical informatics and decision making. 19(1):17.2019. (JCR二区, 5-year IF: 2.587) Xiong Y, Wang Z, Jiang D, Wang X, Chen Q, Xu H, , Buzhou Tang*, et al. A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text. BMC medical informatics and decision making. 2019;19(2):66. (JCR二区, 5-year IF: 2.587) Shi, X., Jiang, D., Huang, Y., Buzhou Tang*, et al. Family history information extraction via deep joint learning. BMC Med Inform Decision Making 19, 277 (2019) doi:10.1186/s12911-019-099（JCR二区, 5-year IF: 2.587） Buzhou Tang, Xiaolong Wang, Jun Yan, Qingcai Chen. Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF. BMC medical informatics and decision making. 19(3):17.2019. (JCR二区, 5-year IF: 2.587) 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 and decision making. 18(2):60. 2018. (JCR二区, 5-year IF: 2.587) Zengjian Liu, Ming Yang, Xiaolong Wang, Qingcai Chen, Buzhou Tang*, Zhe Wang, Hua Xu. Entity recognition from clinical texts via recurrent neural network. BMC medical informatics and decision making. 17(2):67. 2017. (JCR二区, IF: 2.134). Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang, Hua Xu. Recognizing Clinical Entities in Hospital Discharge Summaries using Structural Support Vector Machines with Word Representation Features. BMC Medical Informatics and Decision Making. 13(Suppl 1):S1, 2013. (JCR二区, IF: 1.496). (20125015773030) Shengyu Liu, Buzhou Tang？, Qingcai Chen, Xiaolong Wang. Drug-drug Interaction Extraction via Convolutional Neural Networks. Computational and Mathematical Methods in Medicine. Volume 2016, Article ID 6918381, 8 pages, 10.1155/2016/6918381. 2016. (JCR四区, 5-year IF: 0.756) Tianyong Hao, Zhengxing Huang, Likeng Liang, Buzhou Tang*. Biomedical and health information processing and analysis. Mathematical Biosciences and Engineering. 17(5): 5147-5149. 2020. (JCR三区) Shengyu Liu, Buzhou Tang？, Qingcai Chen, Xialong Wang, Xiaoming Fan. Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection. Computational and Mathematical Methods in Medicine. Volume 2015, Article ID 913489, 9 pages, dio:10.1155/2015/913489. 2015. (JCR三区, IF: 0.887). Buzhou Tang, Jianglu Hu, Xiaolong Wang, Qingcai Chen. Recognizing Continuous and Discontinuous Adverse Drug Reaction Mentions from Social Media Using LSTM-CRF. Wireless Communications and Mobile Computing. 2018. (JCR四区，IF: 0.869). Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M Lowe, Roger A Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rockt？schel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, SV Ramanan, Senthil Nathan, Slavko ？itnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A Akhondi, Jan A Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C Lee Giles, Hongfang Liu, Komandur Elayavilli Ravikumar, Andre Lamurias, Francisco M Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usié, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal and Alfonso Valencia1. The CHEMDNER corpus of chemicals and drugs and its annotation principles. Journal of Cheminformatics. 7(Suppl 1):S2. 2015. (JCR一区, IF: 3.949) (多学科权威期刊) Yonghui Wu, Mia A Levy, Christine M Micheel, Paul Yeh, Buzhou Tang, Michael J Cantrell, Stacy M Cooreman, Hua Xu. Identifying the status of genetic lesions in cancer clinical trial documents using machine learning. BMC Genomics. 13(Suppl 8):S21, 2012. (JCR一区, IF: 4.397) (生物信息学权威期刊) Baotian Hu, Buzhou Tang, Qingcai Chen, Longbiao Kang. A Novel Word Embedding Learning Model Using the Dissociation between Nouns and Verbs. Neurocomputing. doi:10.1016/j.neucom.2015.07.046. 2015. (JCR一区, IF: 2.392) (人工智能权威期刊) Bin Liu, Xiaolong Wang, Lei Lin, Buzhou Tang, Qiwen Dong, Xuan Wang. Prediction of Protein Binding Sites in Protein Structures Using Hidden Markov Support Vector Machine. BMC Bioinformatics. 10:381. 2009. (JCR一区, IF: 3.428) (生物信息学权威期刊) JiaYuan Chen, Buzhou Tang, YongQing Lin, Ying Ru, MaoXiong Wu, Xiaolong Wang, Qingcai Chen, YangXin Chen, JingFeng Wang. Validation of the Ability of SYNTAX and Clinical SYNTAX Scores to Predict Adverse Cardiovascular Events after Stent Implantation: A Systematic Review and Meta-Analysis. Angiology. 0003319715618803. 2015. (JCR二区，IF: 2.931) Min Jiang, Yang Huang, Jung-wei Fan, Buzhou Tang, Josh Denny, Hua Xu. Parsing clinical text: how good are the state-of-the-art parsers?. BMC Medical Informatics and Decision Making. 15(Suppl 1):S2. 2015. (JCR二区, IF: 2.024). Jingting Mai, Fei Wang, Qiong Qiu, Buzhou Tang, YongQing Lin, NianSang Luo, WoLiang Yuan, XiaoLong Wang, Qingcai Chen, JingFeng Wang, YangXin Chen. Tachycardia pacing induces myocardial neovascularization and mobilizes circulating endothelial progenitor cells partly via SDF-1 pathway in canines. Heart and vessels. dio:10.1007/s00380-014-0613-5. 2014. (JCR三区, IF: 2.065). Buzhou Tang, Xiaolong Wang, Xuan Wang. Comparisons of Sequence Labeling Algorithms. ICIC Express Letters, Part B: Applications. 1(2):241-246. 2010. (20105113504753). Buzhou Tang, Xuan Wang, Xiaolong Wang. Chinese Word Segmentation Based on Large Margin Methods. International Journal of Asian Language Processing. 19(1):55-68. 2009. Shengyu Liu, Buzhou Tang？, Qingcai Chen, Xiaolong Wang. Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings vs. Manually Constructed Dictionaries. Information. 6(4): 848-865. 2015. Shengyu Liu, Buzhou Tang？, Qingcai Chen, Xiaolong Wang. Drug Name Recognition: Approaches and Resources. Information. 6(4): 790-810. 2015. Bin Liu, Xiaolong Wang, Ruifeng Xu, Buzhou Tang. Protein Remote Homology Detection by Combining Profile-based Protein Representation with Local Alignment Kernel. Journal of Medical and Bioengineering. Vol 3(1):17-22. 2014. Lei Lin, Bin Liu, Xiaolong Wang, Xuan Wang, Buzhou Tang. Protein Remote Homology Detection and Fold Recognition Based on Features Extracted from Frequency Profiles. JOURNAL OF COMPUTERS. 6(2):321-328. 2011. (20110813689836). Yongshuai Hou, Yang Xiang, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Fangze Zhu. Identifying High Quality Document–Summary Pairs through Text Matching. Information. 8(2):64. 2017. 汤步洲, 王晓龙, 王轩. 置信度加权在线序列标注算法. 自动化学报. 37(2):188-195. 2011. (一级学报, 20111413898640). 汤步洲, 王晓龙, 王轩, 张强. 语句级汉子拼音输入技术评估方法的研究. 中文信息学报. 22(5): 51-55. 2008. 刘峰, 王晔晗, 汤步洲, 王晓龙, 王轩. 基于Android的智能中文输入法. 计算机工程. 37(21):225-227. 2011. 王丹丹，陈清财，王晓龙，汤步洲. 基于宏特征融合的文本分类. 中文信息学报. 31 (2):92-98. 2017. 会议论文及发表演说 Tao Li, Weihua Peng, Qingcai Chen, Xiaolong Wang, Buzhou Tang*. KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction. BIBM 2020: 1740-1747. (生物医学信息学重要会议) 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. (医学信息学顶级会议) Ying Xiong, Buzhou Tang*, Qingcai Chen, Xiaolong Wang, Jun Yan: A Study on Automatic Generation of Chinese Discharge Summary. BIBM 2019: 1681-1687. (生物医学信息学重要会议) Buzhou Tang, Qingcai Chen, Xiaolong Wang, Yonghui Wu, Yaoyun Zhang, Min Jiang, Jingqi Wang, Hua Xu. Recognizing Disjoint Clinical Concepts in Clinical Text Using Machine Learning-based Methods. Proceedings of American Medical Informatics Association Annual Symposium. pages 1184-1193. 2015. (医学信息学顶级会议) Buzhou Tang, Yonghui Wu, Min Jiang, Hua Xu. Clinical Entity Recognition Using Structural Support Vector Machines. Proceedings of American Medical Informatics Association Annual Symposium. 2012. (医学信息学顶级会议) Zengjian Liu, Buzhou Tang*, Xiaolong Wang, Qingcai Chen. CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes. Proceedings of American Medical Informatics Association Annual Symposium. 2016. (医学信息学顶级会议) Buzhou Tang, Qingcai Chen, Xuan Wang, Xiaolong Wang. Reranking for Stacking Ensemble Learning. Proceedings of International Conference on Neural Information Processing. pp.575-584. 2010. (20105113502031) (人工智能重要会议) Yi Chen, Xiaolong Wang, Buzhou Tang*, Junzhao Bu, Qingcai Chen, Xin Xiang. Structural regularity exploration in multidimensional networks. Proceedings of the International Conference on Neural Information Processing. pages 532-540. 2015. (人工智能重要会议) Yi Chen, Xiaolong Wang, Buzhou Tang*, Junzhao Bu, Xin Xiang. User recommendation based on network structure in social networks. Proceedings of the International Conference on Neural Information Processing. pages 488-496. 2015. (人工智能重要会议) Buzhou Tang, Xiaolong Wang, Xuan Wang, Bo Yuan, Shixi Fan. A Cascade Method for Detecting Hedges and Their Scope in Natural Language Text. Proceedings of the Conference on Computational Natural Language Learning. CoNLL-ST2010, pp.13-17. 2010. (20122915262438) (自然语言处理重要会议) Buzhou Tang, Lu Li, Xinxin Li, Xuan Wang, Xiaolong Wang. A Joint Syntactic and Semantic Dependency Parsing System Based on Maximum Entropy Models. Proceedings of the Conference on Computational Natural Language Learning. CoNLL-ST2009, pp.109-113. 2009. (20092612151072) (自然语言处理重要会议) Haodi Li, Qingcai Chen, Buzhou Tang*, Xiaolong Wang. Chemical-induced disease extraction via convolutional neural networks with attention. Proceedings of EEE International Conference on Bioinformatics and Biomedicine (BIBM). 1276-1279. 2017. (生物医学信息学重要会议) 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. 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. Ying Xiong, Yuanhang Huang, Qingcai Chen, Xiaolong Wang, Yuan Nic, Buzhou Tang*: A Joint Model for Medical Named Entity Recognition and Normalization. IberLEF@SEPLN 2020: 499-504. Buzhou Tang, Xiaolong Wang, Yonghui Wu, Min Jiang, Jingqi Wang, Hua Xu. Recognizing Chemical Entities using Conditional Random Fields and Structured Support Vector Machines. Proceedings of the Fourth BioCreative Challenge Evaluation Workshop. vol.2, 74-78. 2013. Buzhou Tang, Yonghui Wu, Min Jiang, Josh C. Denny, Hua Xu. Recognizing and Encoding Disorder Concepts in Clinical Texting using Machine Learning and Vector Space Model. Working Notes of CLEF 2013 Evaluation Labs and Workshop. 2013. Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang, Hua Xu. Clinical Entity Recognition using Structural Support Vector Machines with Rich Features. Proceedings of the ACM International Workshop on Data and Text Mining in Biomedical Informatics. pp.13-20. 2012. (20125015773030) Buzhou Tang, Xuan Wang, Xiaolong Wang. Protein Secondary Structure Prediction Using Large Margin Methods. Proceedings of the IEEE/ACIS International Conference on Computer and Information Science. pp.142-146. 2009. (20094612447481) Tang Buzhou, Wang Xuan, Wang Xiaolong. Chunking with Max-Margin Markov Networks. Proceedings of the Pacific Asia Conference on Language, Information, and Computation, PACLIC22. pp.474-480. 2008. (20122915264775) Buzhou Tang, Min Jiang, Hua Xu. Vanderbilt’s System for SANCL2012 Shared Task. (note) Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang*. Chinese Clinical Entity Recognition via Attention-Based CNN-LSTM-CRF. 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W). pages 68-69. 2018. Junzhao Bu, Buzhou Tang*, Xiaolong Wang, Qingcai Chen, Zengjian Liu, Haodi Li. HTSZ_CEM System for Chemical Entity Mention Recognition in Patents. Proceedings of the Fifth BioCreative Challenge Evaluation Workshop. pages 116-118. 2015. Haodi Li, Qingcai Chen, Buzhou Tang*, Dong Huang, Xiaolong Wang, Zengjian Liu. An Initial Ingredient Analysis of Drugs Approved by China Food and Drug Administration. Proceedings of Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data. pp.104-109. 2016. YaHui Zhao, Haodi Li, Qingcai Chen, Jianglu Hu, Guangpeng Zhang, Dong Huang, Buzhou Tang*. ICRC-DSEDL: A Film Named Entity Discovery and Linking System Based on Knowledge Bases. Proceedings of Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data. pp.205-213. 2016. Haodi Li, Qingcai Chen, Kai Chen, Buzhou Tang*. HITSZ_CDR System for Disease and Chemical Named Entity Recognition and Relation Extraction. Proceedings of the Fifth BioCreative Challenge Evaluation Workshop. pages 196-201. 2015. Yi Chen, Xiaolong Wang, Buzhou Tang*, Ruifeng Xu, Bo Yuan, Xin Xiang, Junzhao Bu. Identifying Opinion Leaders from Online Comments. Proceedings of Social Media Processing Communications in Computer and Information Science. 489:231-239. 2014. (20150600492132) Jianglu Hu, Xue Shi, Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang*. HITSZ_CNER: A hybrid system for entity recognition from Chinese clinical text.Proceedings of CCKS. 2017. Min Jiang, Josh C. Denny, Buzhou Tang, Hongxin Cao, Hua Xu. Extracting Semantic Lexicons from Discharge Summaries using Machine Learning and the C-Value Method. Proceedings of American Medical Informatics Association Annual Symposium. pp.409–416. 2012. (医学信息学顶级会议) Yonghui Wu, Jianbo Lei, Wei-Qi Wei, Buzhou Tang, Joshua C. Denny, S. Trent Rosenbloomc, Ran-dolph A. Miller, Dario A. Giusec, Kai Zheng, Hua Xu. Analyzing Differences between Chinese and English Clinical Text: A Cross-Institution Comparison of Discharge Summaries in Two Languages. MedInfo. 19:662-666. 2013. (医学信息学顶级会议) Xiaoqiang Zhou, Baotian Hu, Qingcai Chen, Buzhou Tang, Xiaolong Wang. Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering. Proceedings of Association for Computational Linguistics. pages 713-718. 2015. (自然语言处理顶级会议) Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du. Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. pages 713-718. 2017. (自然语言处理顶级会议) Yang Xiang, Xiaoqiang Zhou, Qingcai Chen, Zhihui Zheng, Buzhou Tang, Xiaolong Wang, Yang Qin. Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics. pp. 1231–1241. 2016. (自然语言处理顶级会议) Xin Liu, Qingcai Chen, Chong Deng, Huajun Zeng, Jing Chen, Dongfang Li, Buzhou Tang. LCQMC: A Large-scale Chinese Question Matching Corpus. Proceedings of the 27th International Conference on Computational Linguistics. 1952-1962. Dandan Wang, Qingcai Chen, Xiaolong Wang, Buzhou Tang. Macro Features Based Text Categorization. Proceedings of the International Conference on Neural Information Processing. pp.211-219. 2011. (20114814553999) (人工智能重要会议) Zhang Yaoyun, Wang Xiaolong, Wang Xuan, Xu Ruifeng, Tang Buzhou. Diversifying Question Recommendations in Community-based Question Answering. Proceedings of the International Conference on Neural Information Processing. pp.177-186. 2011. (20114814554084) (人工智能重要会议) Yonghui Wu, Buzhou Tang, Min Jiang, Sungrim Moon, Hua Xu. Clinical Acronym/Abbreviation Normalization using a Hybrid Approach. Working Notes of CLEF 2013 Evaluation Labs and Workshop. 2013. Yaoyun Zhang, Jingqi Wang, Buzhou Tang, Yonghui Wu, Min Jiang, Yukun Chen, Hua Xu. UTH_CCB: A Report for SemEval 2014–Task 7 Analysis of Clinical Text. Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014). pages 802-806. 2014. Yisu Xu, Xuan Wang, Buzhou Tang, Xiaolong Wang. Chinese Unknown Word Recognition Using Improved Conditional Random Fields. Proceedings of the International Conference on Intelligent Systems Design and Applications. pp.363-367. 2008. (20092612151072) Shixi Fan, Lidan Chen, Xuan Wang, Buzhou Tang. Shallow Parsing with Hidden Markov Support Vector Machines. Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC), v2, 827-830. 2015. (20150400454112) Min Jiang, Yang Huang, Jung-wei Fan, Buzhou Tang, Josh Denny, Hua Xu. Parsing clinical text: how good are the state-of-the-art parsers?. Proceedings of the ACM Seventh International Workshop on Data and Text Mining in Biomedical Informatics. pages 1-5. 2014. Yaoyun Zhang, Trevor Cohen, Min Jiang, Buzhou Tang, Hua Xu. Evaluation of Vector Space Models for Medical Disorders Information Retrieval. Working Notes of CLEF 2013 Evaluation Labs and Workshop. 2013. Yaoyun Zhang, Jun Xu, Chenlong Liu, Xiaolong Wang, Ruifeng Xu, Qingcai Chen, Xuan Wang, Yongshuai Hou, Buzhou Tang. ICRC_HITSZ at RITE: leveraging multiple classifiers voting for textual entailment recognition. Proceedings of the NTCIR-9 Workshop. pp.325-329. 2011.

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