个人简历

工作经历
2018.3-今 北京交通大学电信学院

研究领域

研究方向
信息网络"科研项目
专利转化项目: 专利技术转让

近期论文

论文/期刊
张致远,刘云,张振江,沈波.Fused matrix factorization with multi-tag, social and geographical influences for POI recommendation.WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,2019,22(3)
陈乃月,He,Wang,张致远,Yang,符艳平.Community Detection with indirect neighbors based on Granular Computing in social networks.international joint conference on neural networks,2019
刘宁,沈波,张振江,张致远,米坤.Attention-based Sentiment Reasoner for aspect-based sentiment analysis.Human-centric Computing and Information Sciences,2019,1(9)
罗贵珣,刘云,张致远.A Dynamic Model of Reposting Information Propagation Based on Empirical Analysis and Markov Process.JOURNAL OF UNIVERSAL COMPUTER SCIENCE,2016,3(22)
张致远,刘云,徐冠东,陈海强.A weighted adaptation method on learning user preference profile.Knowledge-Based Systems,2016,0(112)
张致远,刘云,徐冠东,罗贵珣.Recommendation using DMF-based fine tuning method.Journal of Intelligent Information Systems,2016,2(47)
罗贵珣,刘云,张致远.A Novel Model for Weibo Reposts Prediction by Using Generic Based Segmented BPNN.JOURNAL OF INTERNET TECHNOLOGY,2018,5(19)
张致远,刘云,张振江.Field-Aware Matrix Factorization for Recommender Systems.IEEE Access,2018,0(6)
张致远,刘云.A List-wise Matrix Factorization Based POI Recommendation by fusing Multi-Tag, Social and Geographical Influences.Journal of Internet Technology,2018,1(19)
张阳,刘云,赵涵捷,张振江,张致远.Classification of Incomplete Data Based on Evidence Theory and an Extreme Learning Machine in Wireless Sensor Networks.Sensors,2018,4(18)