个人基本情况介绍：

陈艳平，男，博士，贵州大学计算机学院教授、大数据学部特聘教授、我校学科学术带头人、硕士/博士研究生导师、省部共建公共大数据国家重点实验室数据融合方向副主任、教育部文本计算与认知智能工程研究中心副主任、中国计算机学会信息系统专委会执行委员。研究方向为自然语言处理，相关研究成果在ACL、Artificial Intelligence、Neural Network、Information Fusion、IEEE Intelligent Systems、Cognitive Computation、Information Processing and Management、Expert Systems with Applications、Natural Language Engineering等国际顶级刊物上发表。长期承担ACL、IPMAAAI、IJCAI、ICDM、KDD、TKDE、ECAI、TASL等人工智能和自然语言处理国际会议或期刊的程序委员会委员或审稿人，第三届大数据技术国际会议分会主席，第七届机器人与人工智能国际会议技术主席。共发表各类会议期刊论文60余篇。其中，第一作者和通讯作者SCI论文20余篇、CCF 会议期刊6篇、EI会议论文4篇。主持/参与国家级项目6项、省/部级项目5项、校级项目2项、横向项目3项。获得国家发明专利授权2项。主持国家级、校级教改项目2项、发表教改论文3篇。

研究领域与方向：

人工智能、自然语言处理

科研课题（2010年以来主要承担的科研项目）：

[1] 国家自然科学基金，《基于位置回归的嵌套语义识别机制研究》，2021-2025，35万，主持；

[2] 贵州省重大科技专项，《智慧法院数据融合分析及集成应用示范》，2018-2021，40万，主持；

[3] 贵州省自然科学基金，《基于集合空间模型的多源知识融合方法研究》，2018-2021，10万，主持；

[4] 教改项目，《混合教学模式与教学方法在“自然语言处理”课程教学中的探索与实践》，2021-2022，5万，主持；

[5] 教改项目，《研究生课程思政示范课程“自然语言理解”》，主持；

[6] 横向项目，《税收优惠图谱构建方法研究与应用》，20万，主持；

学术论著(2009年以来发表的论文、专著)：

[1] Ying Hu, Chen Yanping*, Yongbin Qin, Ruizhang Huang. Learning entity-oriented representation for biomedical relation extraction. Journal of Biomedical Informatics. Accepted for Publication. (SCI 三区，IF：4.5)

[2] Ruixue Tang, Chen Yanping*, Ruizhang Huang, Yongbin Qin. Enhancing interaction representation for joint entity and relation extraction. Cognitive Systems Research. 2023, 82: 101153. (SCI三区，IF：3.9) 

[3] Ruixue Tang, Chen Yanping*, Yongbin Qin, Ruizhang Huang, Zheng Qinghua. Boundary Regression Model for Joint Entity and Relation Extraction. Expert Systems with Applications，2023, 229: 120441. (SCI 一区，IF：8.665，CCF C类期刊).

[4] Rushan Geng, Chen Yanping*, Ruizhang Huang, Yongbin Qin, Zheng Qinghua. Planarized Sentence Representation for Nested Named Entity Recognition. Information Processing and Management，2023, 60(4): 103352. (SCI 一区，IF：7.466，CCF B类期刊).

[5] Yu Junhui, Chen Yanping*, Zheng Qinghua, Wu Yuefei, Chen Ping. Full-span Named Entity Recognition with Boundary Regression. Connection Science, 2023: 1-27. (SCI 四区，CCF C类期刊).

[6] Yanping Chen, Xinyang Zhong, Yijun Liu, Bo Dong, Qinghua Zheng. A Deep Penetration Network for Sentence Classification. Information Fusion. 2023, 95: 174-18. (SCI一区, IF: 17.56).

[7] Yanping Chen, Rong Huang, Lijun Pan, Ruizhang Huang, Qinghua Zheng, Ping Chen. A Controlled Attention for Nested Named Entity Recognition. Cognitive Computation, 2023: 1-14. (SCI二区，IF: 4.89)

[8] Kai Wang, Yanping Chen*, Kunjian Wen, Chao Wei, Bo Dong, Qinghua Zheng, Yongbin Qin. Cue prompt adapting model for relation extraction. Connection Science. 2022: 1-18. (SCI 四区，CCF C类期刊).

[9] Yizhao Wu, Yanping Chen*, Yongbin Qin, Ruizhang Huang, Ruixue Tang. A marker collaborating model for entity and relation extraction. Journal of King Saud University-Computer and Information Sciences. 2022, 34(10): 9163-9172. (SCI一区，IF: 8.83)

[10] Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen. A boundary regression model for nested named entity recognition. Cognitive Computation. 2022: 1-18. (SCI二区，IF: 4.89)

[11] Yongming Nian, Yanping Chen*, Yongbin Qin, Ruizhang Huang, Ruixue Tang, Ying Hu. A joint model for entity boundary detection and entity span recognition. Journal of King Saud University-Computer and Information Sciences. 2022, 34(10): 8362-8369. (SCI一区，IF: 8.83)

[12] Ruixue Tang, Yanping Chen*, Yongbin Qin, Ruizhang Huang, Bo Dong, Qinghua Zheng. Boundary assembling method for joint entity and relation extraction[J]. Knowledge-Based Systems, 2022: 109129. (SCI一区，IF: 8.8133，CCF C类)

[13] Yijing Li, Yanping Chen*, Yongbin Qin, Ying Hu, Ruizhang Huang, Qinghua Zheng, Protein-protein interaction relation extraction based on multigranularity semantic fusion, Journal of Biomedical Informatics, 2021, 123: 103931. (SCI二区，IF: 8.0，CCF C类)

[14] Yanping Chen, Weizhe Yang, Kai Wang, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, A Neuralized Feature Engineering Method for Entity Relation Extraction, Neural Networks, 2021, 141: 249-260. (SCI一区，IF: 9.65，CCF B类)

[15] Yongbin Qin, Weizhe Yang, Kai Wang, Ruizhang Huang, Feng Tian, Shaolin Ao, Yanping Chen*. Entity relation extraction based on entity indicators[J]. Symmetry, 2021, 13(4): 539. (SCI四区，IF: 2.940)

[16] Jinling Xu, Yanping Chen*, Yongbin Qin, Ruizhang Huang, Qinghua Zheng. A feature combination-based graph convolutional neural network model for relation extraction[J]. Symmetry, 2021, 13(8): 1458. (SCI四区，IF: 2.940)

[17] Yanping Chen, Kai Wang, Weizhe Yang, Yongbin Qing, Ruizhang Huang, Ping Chen. A Multi-Channel Deep Neural Network for Relation Extraction. IEEE Access. 2020, 8: p. 13195-13203. (SCI二区，IF: 3.745)

[18] Yanping Chen, Yuefei Wu, Yongbin Qin, Ying Hu, Zeyu Wang, Ruizhang Huang, Ping Chen, Recognizing Nested Named Entity based on the Neural Network Boundary Assembling Model, IEEE Intelligent Systems, 2020, 35(1): p. 74-81. (SCI二区，IF: 6.744)

[19] Yanping Chen, Zehua Ding, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Nazaraf Shah. A History and Theory of Textual Event Detection and Recognition. IEEE Access. 2020, 8: p. 201371–201392. (SCI二区，IF: 3.745)

[20] Yanping Chen, Ying Hu, Yijing Li, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, Ping Chen. A Boundary Assembling Method for Nested Biomedical Named Entity Recognition. IEEE Access. 2020, 8: p. 214141–214152. (SCI二区，IF: 3.745)

[21] Yanping Chen, Guorong Wang, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Ping Chen. A Set Space Model to Capture Structural Information of a Sentence. IEEE Access. 2019, 7: p. 142515-142530. (SCI二区，IF: 3.745)

[22] Yanping Chen，Qinghua Zheng，Ping Chen, A Set Space Model for Feature Calculus, IEEE Intelligent Systems, 2017, 32(5): p. 36-42. (SCI二区，IF: 6.744)

[23] Yanping Chen，Qinghua Zheng，Feng Tian，Huan Liu, Yanzhou Hao, Nazaraf Shah, Exploring open information via event network, Natural Language Engineering, 2017, p. 1-22. (SCI四区，IF: 1.84，CCF C类)

[24] Yanping Chen, Qinghua Zheng, Ping Chen, Feature assembly method for extracting relations in Chinese, Artificial Intelligence, 2015, 228：p. 179-194. (SCI二区，IF: 14.05，CCF A类)

[25] Yanping Chen, Qinghua Zheng, Ping Chen, A Boundary Assembling Method for Chinese Entity-Mention Recognition, IEEE Intelligent Systems, 2015, 30(6): p.50-58. (SCI二区，IF: 6.744)

[26] Yanping Chen, Qinghua Zheng, Wei Zhang, Omni-word Feature and Soft Constraint for Chinese Relation Extraction, in Proceedings of the ACL ’14, Baltimore, USA, 2014. (EI检索，CCF A类)

发明专利及获奖情况（2009年以来）：

[1] 基于词聚类的低频关键词识别方，CN 108038099B，第一发明人；

[2]一种基于神经网络的边界组合命名实体识别方法，CN 110032737B，第一发明人；

[3] 第十二届“挑战杯”中国大学生创业计划竞赛，全国三等奖；

[4] 2202全球开放数据应用创新大赛-法律咨询智能问答，全国二等奖；

[5] 第五届“达观杯” 基于大规模预训练模型的风险事件标签识别，全国三等奖；

[6] 第十七届“挑战杯”贵州省大学生课外学术科技作品竞赛三等奖；

学术兼职及荣誉称号：

我校软件工程学科学术带头人

贵州省公共大数据重点实验室、数据融合方向、副主任

2016“西部计算机教育提升计划”Google 人才引进励教金

国际会议ICDM、IWCSF、IJCAI、ACL、AAAI、ICDM程序委员会委员/审稿人;

国际期刊TASL、TKDE、ECAI、SOCI、Mathematical Reviews审稿人;  

教学格言：

厚积薄发

电子邮件：

ypench@gzu.edu.cn