研究方向 科研项目 科研成果

[1] Xie Q, Xiong F, Han T, Liu Y, Li L, Bao Z. Interactive Resource Recommendation Algorithm Based on Tag Information[J]. World Wide Web, 2018(21):1655-1673.   SCI

[2] Liu X, Liu Y, Xie Q, Li L, Li Z. A Potential-based Clustering Method with Hierarchical Optimization[J]. World Wide Web,2018(21):1617-1635   SCI

[3] Ma Y, Liu Y, Xie Q, Li L. Cnn-feature based automatic image annotation method. Multimedia Tools and Applications.. CNN-Feature Based Automatic Image Annotation Method[J]. Multimedia Tools and Applications, 2018 online version. Doi:10.1007/s11042-018-6038-x   SCI

[4] Liu Y, Xie J, Yuan J, Sun J. Web Oriented Learning Strategies of Relationships among Domain Ontology Concepts[C]. 2014 9th International Conference on Computer Science & Education. IEEE, 2014: 677-681.   EI

[5] Luo Z, Deng M, Liu Y, Yuan J. An Ontology Construction Method for Educational Domain[C].2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications. IEEE, 2013: 99-102.   EI

[6] Liu Y, Xu P. The Research of Optimizing Page Ranking Based on User's Feature[C].2012 International Conference on Industrial Control and Electronics Engineering. IEEE, 2012: 1950-1952.   EI

[7] Zhu Y , Xiong F , Xie Q, Li L, Liu Y. PBR: A Personalized Book Resource Recommendation System[C].Web and Big Data - Second International Joint Conference, APWeb-WAIM, 2018: 475-479.   EI

[8] Liu S, Liu Y, Xie Q. Personalized Resource Recommendation  Based on Regular Tag and User Operation[C]. In: World Wide Web Internet and Web Information Systems,2016, Su Zhou, CHINA. Pages:111-123  EI

[9] Tian H, Liu Y, Xie Q. TagTour: A Personalized Tourist Resource Recommendation System[C]. Web Technologies and Applications-18th Asia-Pacific Web Conference, APWeb, 2016: 547-551.   EI

[10] Xia H, Zhou S, Liu Y. Application and Evalduation of NoSQL in Course Group System[J]. WIT Transactions on Information and Communication Technologies, 2014, 51: 197-203.   EI

[11] Song H Z, Khamis K A L, Liu Y J, et al. Representation of Ontology Based Model within the Visual Stock Information System[C]. Applied Mechanics and Materials. Trans Tech Publications, 2014, 475: 767-770.   EI

[12] Xiong S, Wang X, Duan P, Yu Z, Dahou A. Deep Knowledge Representation based on Compositional Semantics for Chinese Geography[C].International Conference on Agents and Artificial Intelligence, 2017, 2: 17-23.

[13] He Z, Liu Y ,Bai L. Analysis of the Digital Publishing in University Press[C].//Proceedings of the 7th International Conference on Innovation and Management. 2010:1953-1957.

[14] 谢逸,饶文碧,段鹏飞,陈振东.基于CNN和LSTM混合模型的中文词性标注[J].武汉大学学报(理学版),2017,63(03):246-250.

[15] 陈媛媛,聂规划,刘平峰,欧阳由.Web文档本体模型与实例析取算法研究[J].情报杂志,2014,33(04):144-147+127.

[16] 段鹏飞,王远,熊盛武,毛晶晶.基于空间投影和关系路径的地理知识图谱表示学习[J].中文信息学报,2018,32(03):26-33.

[17] 刘平峰,章佩璐,张军,余文艳.面向主题的Web信息融合模型[J].图书情报工作,2011,55(08):40-43.

[18] 刘平峰,余文艳,游怀杰.基于模糊等价关系的文本多粒度划分方法[J].情报学报,2012, 31(6).

[19] 聂规划,于珊珊,刘平峰,基于相似度的信息颗粒更新方法[J]. 武汉理工大学学报(信息与管理工程版),2015(3):304-307.

[20] 刘平峰,杨柳,姚梦迪.Web信息颗粒关联强度研究[J].武汉理工大学学报:信息与管理工程版,2015(4):399-402.

[21] 陈冬林,夏琪,代四广.基于客户Web时空行为轨迹的兴趣点预测方法[J].科技导报, 2018, 36(7):74-79.

[22] 李兴华, 陈冬林, 杨爱民等. 基于用户兴趣-标签的混合推荐方法研究[J]. 情报学报, 2015(5):466-470.

[23] 郑慧, 李冰, 陈冬林等. 基于位置簇的移动生活服务个性化推荐技术[J]. 计算机应用, 2015, 35(4):1148-1153.

[24] 吴钟, 聂规划, 陈冬林等. 基于协同过滤的Web服务动态社区发现算法[J]. 计算机应用, 2013, 33(08):2095-2099.

[25] 傅魁, 刘李利, 陈冬林. 面向在线社会支持虚拟社区的用户专业度识别方法研究[J]. 情报学报, 2013, 32(4):397-406.

[26] 于珊珊,于珊珊,陈冬林.基于用户兴趣的Web服务组合推荐方法研究[J].武汉理工大学学报(信息与管理工程版), 2015(3):387-390.

[27] 子岳,周文斌,刘永坚,白立华.出版融合背景下现代纸书商业模式创新探索[J].科技与出版,2018(08):48-53.

[28] 贺子岳,孙治鑫.基于融合出版流程的出版社组织创新研究[J].出版科学,2019,27(02):60-64.

[29] 贺子岳,张蒙,刘永坚.出版融合下少儿内容服务的创新路径探索[J].出版发行研究,2019(02):42-45.

[30] 刘永坚,白立华,施其明,唐伶俐.论现代纸书革命[J].科技与出版,2018(08):17-23.

[31] 蔡敬羽,刘永坚,白立华,施其明.基于现代纸书的读者社群运营研究[J].科技与出版,2018(08):59-63.

[32] 陈晓峰,刘永坚,施其明,刘琦.基于现代纸书模式的科技期刊数字化转型研究[J].科技与出版,2018(08):75-79.

[33] 刘遹菡,刘永坚.基于现代纸书的编辑创新激励机制研究[J].科技与出版,2018(08):54-59.