信息科学与技术学院
首页学院概况师资队伍本科教育硕士教育科研学术党建思政合作交流学生工作招生就业校友之家
师资队伍
郝天永
当前位置: 首页>师资队伍>云山学者>郝天永>正文
基本资料

姓名:郝天永

学历/学位:博士

职称/职务:副教授、云山学者

教师介绍

2010年毕业于香港城市大学,获博士学位,2003/06-2005/06于中国科学院计算技术研究所学习,2008/7-2008/8于加拿大约克大学学习,2009/12-2010/06于美国埃默尔大学访问研究,2010/08-2012/08于香港城市大学任职研究员,2012/10-2012/12月于澳大利亚新南威尔士大学访问研究,2013/2-2014/1于美国哥伦比亚大学全职担任Postdoctoral Research Scientist,2014/3起于广东外语外贸大学工作。主要研究领域为自然语言处理、问答系统、医学信息学。 在国际学术期刊和会议上发表英文SCI/EI两大索引论文40余篇,包括IEEE Transactions on Knowledge and Data Engineering、ACM Transactions on ALIP、Journal of the Association for Information Science and Technology、Journal of Biomedical Informatics、Journal of Information Science等,其中ISI-JCR一二区SCI期刊论文13篇。主持国家自然科学基金项目、香港研究资助局GRF项目(Co-I)、国家人社部留学人员科技活动择优资助项目、广东省优青项目等,现为校级科研创新团队带头人;另参与多个国家自然科学基金、美国NLM基金、美国NIH基金等项目。申请发明专利5项(含1项美国专利授权、2项国内专利授权)、软件著作权9项。荣获5th HIS国际会议最佳论文奖、10th IEEE ICCI*CC 国际会议(加拿大)最佳论文奖、6th WEBIST 国际会议(西班牙)最佳学生论文奖、13th WMSCI 国际会议(美国)最佳Session论文奖,2014年获云山学者、广东省外国专家局认定广东省海外高层次留学人才,2016年获广东省优青。

- 国际标准化组织(ISO)术语和其他语言及内容资源标准化技术委员会(TC37)委员

- 国家标准化管理委员会(SAC)术语与语言内容资源标准化技术委员会(TC62)委员

- 中国中文信息学会(CIPS)青年工作委员会委员

- 中国中文信息学会(CIPS)医疗健康与生物信息处理专委会委员

- 中国计算机学会(CCF)中文信息技术专委会委员

- 中国计算机学会(CCF) YOCSEF 广州区学术委员会委员

- 广东省计算机学会青年工作委员会委员

- 校级科研创新团队(面向文本大数据的自然语言处理)带头人

- 自然语言处理实验室负责人

- 学会成员: IEEE (Senior member), IACSIT (Senior member), ACL, ACM, AMIA, CIPS, CCF member

- 国际会议主席: SeCoP 2017(Co-Chair), ETLL 2016(PC Chair), ICWL 2015 (Publicity Chair), ACAI 2012 (Co-Chair), CSSS 2011 (Session Chair, invited talk), WMSCI 2009 (Session Chair)

- 国际会议程序委员: ICYCSEE 2017, ICWL 2017, ICIC 2017, GCCCE 2017, ASC 2017, SEPDA 2016, ICTE 2014, IBIMA (2013-), ICT Innovations (2013-), ICNIT (2011-), NCM (2011-), NASCIT (2011-), ICIPM (2012-), ICMIA (2012-), ICACT (2012-), ICCCT (2011-), WMSCI (2009-)

- SCI期刊审稿人: IEEE Transactions on Industry Informatics (IF 8.79)、IEEE Transactions on Services Computing (IF 3.05)、ACM Transactions on Intelligent Systems and Technology (IF 2.4)、Elsevier Journal of Biomedical Informatics (5Y-IF 3.44)、Elsevier Archives of Medical Research (IF 2.65)、Elsevier Computer Methods and Programs in Biomedicine (IF 1.86)、Elsevier Expert Systems With Applications(IF 2.98)、Elsevier Data & Knowledge Engineering (IF 1.12)、Springer Knowledge and Information Systems (IF 1.78)、Springer International Journal of Machine Learning and Cybernetics (1.10)、Springer Neural Computing and Applications (IF 1.49)、Journal of Information Science (IF 1.16)、Journal of Intelligent & Fuzzy Systems (IF 1.81)

近5年发表论文:

1. Pengwei Wang, Tianyong Hao, Lianwen Jin, Jun Yan. Large-Scale Extraction of Drug-Disease Pairs from Biomedical Literature for Drug Repurposing. Journal of the Association for Information Science and Technology. (SCI) to appear

2. Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao*. Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Transactions on Knowledge and Data Engineering (TKDE). (SCI) to appear

3. Tianyong Hao, Chunshen Zhu, Yuanyuan Mu, Gang Liu. A User-oriented Semantic Annotation Approach to Knowledge Acquisition and Conversion. Journal of Information Science. (SSCI, SCI IF 1.158, ISI-JCR Q2) Accepted in March 2016.

4. Yijie Dun, Na Wang, Min Wang, Tianyong Hao*. Revealing Learner Interests through Topic Mining from Question-Answering Data. International Journal of Distance Education Technologies (IJDET). Volume 15, Issue 2, pp. 18-32, 2017. (ESCI, EI)

5. Tianyong Hao, Chengtao Li, Wanqing Liang, Yingying Qu. A Topical Diversity-based Approach to Detecting Similar Question Groups from Collaborative Question-Answering Archives. Web Intelligence. vol. 14, no. 4, pp. 301-308, 2016. (ESCI, EI) IOS press

6. Tianyong Hao, Hongfang Liu, Chunhua Weng. Valx: A system for extracting and structuring numeric lab test comparison statements from text. Methods of Information in Medicine. Vol. 55: Issue 3, pp. 266-275, 2016 (SCI IF 2.248, ISI-JCR Q1) Schattauer

7. Tianyong Hao, Yingying Qu. QSem: A Novel Question Representation Framework for Question Matching over Accumulated Question-Answer Data. Journal of Information Science. Volume 42, No. 5, 583-596, 2016. (SSCI, SCI IF 1.158, ISI-JCR Q2) SAGE

8. Tianyong Hao, Chunhua Weng. Adaptive Semantic Tag Mining from Heterogeneous Clinical Research Texts. Methods of Information in Medicine. Vol. 54: Issue 2, Pages 164-170, 2015. (SCI IF 2.248, ISI-JCR Q1) Schattauer

9. Tianyong Hao, Alexander Rusanov, Mary Regina Boland, Chunhua Weng. Clustering Clinical Trials with Similar Eligibility Criteria Features. Journal of Biomedical Informatics, Volume 52, Pages 112–120, 2014. (SCI 5-year IF 3.442, ISI-JCR Q1)

10. Raymond K. Wong, Victor W. Chu, Tianyong Hao. Online Role Mining for Context-Aware Mobile Service Recommendation. Personal and Ubiquitous Computing. Volume 18, Issue 5, pp.1029-1046, 2014. (SCI IF 1.518, ISI-JCR Q2)

11. Tianyong Hao, Chunshen Zhu. Toward a Professional Platform for Chinese Character Conversion. ACM Transactions on Asian Language Information Processing, Volume 12 Issue 1, 2013. (one of leading journals in language information processing)

12. Tianyong Hao, Yingying Qu. Toward Automatic Semantic Annotating and Pattern Mining for Domain Knowledge Acquisition. Pertanika Journal of Science & Technology. Vol. 21, Issue 1, pp.169-182, 2013. (SCOPUS, ERA)

13. Tianyong Hao, Eugene Agichtein. Finding Similar Questions in Collaborative Question Answering Archives: Toward Bootstrapping-based Equivalent Pattern Learning. Information Retrieval. Vol. 15, Issue 3-4, pp.332-353, 2012. (SCI 5-year IF 1.367)

14. Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, and Qingyao Wu. Online Multi-Instance Multi-Label Learning for Protein Function Prediction. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 780-785, 2016. (EI, CCF-B)

15. Tianyong Hao, Boyu Chen, Yingying Qu. An Automated Method for Gender Information Identification from Clinical Trial Texts. Lecture Notes in Computer Science, by 5th International Conference on Health Information Science, Volume 10038, pp. 109-118, 2016. (Best paper award, EI)

16. Xiaowen Wang, Yong Gao, Tianyong Hao*. The Construction of a Customized Medical Corpus for Assisting Chinese Clinicians in English Research Article. Lecture Notes in Computer Science, by CCL, Volume 10035, pp 241-252, 2016. (EI)

17. Xiaowen Wang, Tianyong Hao*. An Empirical Study of Corpora Application in Data-driven English Lexical Learning. International Conference On Web-based Learning (ICWL). Accepted in 2016.

18. Tianyong Hao, Xieling Chen, Guimin Huang. Discovering Commonly Shared Semantic Concepts of Eligibility Criteria for Learning Clinical Trial Design. Lecture Notes in Computer Science, 9412, pp. 3-13, 2015. (Invited paper, EI)

19. Tianyong Hao, Wenxiu Xie, Feifei Xu. A WordNet Expansion-based Approach for Question Targets Identification and Classification. Lecture Notes in Artificial Intelligence, by CCL, 9427, pp. 333-344, 2015. (EI)

20. Tianyong Hao, XinYing Qiu, Shengyi Jiang. Leveraging Semantic Labeling for Question Matching to Facilitate Question-Answer Archive Reuse. Lecture Notes in Computer Science, by ICIC 9225, pp. 65-75, 2015. (EI)

21. Tianyong Hao, Wenxiu Xie, Chun Chen, Yuming Shen. Systematic Comparison of Question Target Classification Taxonomies towards Question Answering. Communications in Computer and Information Science, by SMP, 568, pp. 131-143, 2015. (EI)

22. Zhe He, Simona Carini, Tianyong Hao, Ida Sim, and Chunhua Weng. A Method for Analyzing Commonalities in Clinical Trial Target Populations. In Proceedings of AMIA 2014 Annual Symposium (AMIA), November 15 - 19, 2014, Washington D.C. pp.1777-1786. (the leading conference in medical informatics)

23. Tianyong Hao, Alexander Rusanov, Chunhua Weng. Extracting and Normalizing Temporal Expressions in Clinical Data Requests from Researchers. Lecture Notes in Computer Science, Volume 8040, pp 41-51, 2013. (EI)

24. Tianyong Hao, Wenyin Liu, Chunshen Zhu. Semantic Pattern-Based User Interactive Question Answering: User interface Design and Evaluation. Lecture Notes in Artificial Intelligence, by ICIC, Springer-Verlag. Vol. 6893, pp.363-370, 2012. (EI)

25. Tianyong Hao, Eugene Agichtein. Bootstrap-based Equivalent Pattern Learning for Collaborative Question Answering. Lecture Notes in Computer Science, by CLCLING, Springer-Verlag. Vol. 7182, pp.318-329, 2012. (EI)

26. Tianyong Hao, Yingying Qu, Fang Xia. Domain Knowledge Acquisition by Automatic Semantic Annotating and Pattern Mining. In Proceedings of the International Conference on Information Retrieval and Knowledge Management, pp.34-38. Kuala Lumpur, Malaysia, 2012. (EI)

- 国家自然科学基金项目(面向问答系统的多维语义模板研究,No. 61403088),负责人

- 国家自然科学基金项目(NT小句复合体模型的理论和应用研究,No. F020601),参与

- 国家自然科学基金项目(基于粒计算与语义模板的问答系统研究,No. 61305094),参与

- 国家人社部留学人员科技活动择优资助项目(问答系统的多维语义模板研究),负责人

- 香港研究资助局GRF项目( Semantic networking and imagery configuration: A computer-aided study of ‘poetic visions’,No. 11606515),联合主持

- 广东省高等学校优秀青年教师培养计划(大规模问答数据重用研究及其在医学领域的应用,No. YQ2015062),负责人

- 广东省中医院科研合作项目(基于医学大数据个性化知识问答系统相关技术的基础研究),负责人

- 香港城市大学海外研究活动基金(Bootstrap-Based Equivalent Pattern Learning for Collaborative Question Answering),负责人

- 美国国立卫生研究院国家促进转化科学发展中心项目(UL1TR000040),参与人

共产党员网 中国共产党新闻网 广东省科技厅 广州市科信局 广东外语外贸大学 广东外语外贸大学办公邮箱
中国计算机学会 中国中文信息学会 人工智能学会 学者网 i春秋 蓝盾
轩辕网络 上海交通大学安全学院 北航计算机学院 本科教学审核评估网

中国广州市白云区白云大道北2号 510420 (北校区) | 中国广州市番禺区小谷围广州大学城 510006 (南校区)
联系方式:(020) 39328032(南校区)
广东外语外贸大学信息科学与技术学院 / 网络空间安全学院Copyright©2015