基本信息姓名：李慧颖
性别：女
出生年月：1977-05-08
学位：博士
职称：副教授
行政机构：计算机科学与工程学院
研究方向：人工智能、语义Web和知识图谱、计算机软件与理论
电话：
电子邮件：huiyingliATseu.edu.cn
详细信息李慧颖，女，1977年5月生。东南大学计算机科学与工程学院副教授，2002年从南京信息工程大学获得理学硕士学位，进入东南大学计算机科学与技术学院工作。2011年从东南大学获得计算机软件与理论专业博士学位。主讲本科生课程《离散数学》，《程序设计基础及语言》。主要研究方向为人工智能、语义Web和知识图谱、信息检索和数据挖掘。目前主要的研究内容为在大规模链接数据中的进行语义搜索和语义挖掘。
我非常欢迎踏实、认真，且充满创新意识的学生报考本人的研究生。
论文发表
lYongrui Chen,Huiying Li, Zejian Xu. Convolutional Neural Network-based Question Answering over Knowledge Base with Type Constraint, China Conference on Knowledge Graph and Semantic Computing, CCKS 2018.
lHuiying Li, Jing Shi. Personalized EntityRank-based Entity Linking with DBpedia. Proceedings of 2017 IEEE 29th International Conference on Tools with Artificial Intelligence, ICTAI 2017, pp. 285-292.
lFeifei Xu, Huiying Li. Named Entity Recognition in the Domain of Geographical Subject. The 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017, pp. 2229-2234.
lQian Sima, Huiying Li. Keyword Query Approach over RDF Data Based on Tree Template. Proceedings of 2016 IEEE International Conference onBig DataAnalysis, ICBDA 2016.
lHuiying Li, Jing Shi. Linking Named Entity in a Question with DBpedia Knowledge Base. The 6th Joint International Semantic Technology Conference, JIST 2016, pp. 263-270.
lHuiying Li, Feifei Xu. Question Answering with DBpedia Based on the Dependency Parser and Entity-centric Index. 2016 International Conference on Computational Intelligence and Applications, ICCIA 2016, pp. 41-45.
lYuanyuan Li,Huiying Li,Jing Shi. Mining RDF Data for OWL 2 RL Axioms (Short Paper), China Conference on Knowledge Graph and Semantic Computing, CCKS 2016, pp. 117-123.
lHuiying Li, Qian Sima. Parallel Mining of OWL 2 EL Ontology from Large Linked Datasets. KNOWLEDGE-BASED SYSTEMS. 2015, 84:10-17.
lHuiying Li, Yuanyuan Li, Feifei Xu, et al. Probabilistic Error Detecting in Numerical Linked Data. 2015 International Conference on Database and Expert Systems Applications, DEXA 2015.
l李慧颖，瞿裕忠，基于实体三元组关联图的数据关键词查询方法，计算机学报。
科研项目
l国家自然科学基金，项目批准号：**，基于关键词的大规模链接数据搜索技术研究。
l江苏省自然科学基金，项目编号：BK**，面向大规模链接数据的关键词搜索技术研究。
