工作经历 2018.3-今 北京交通大学电信学院

研究方向 信息网络

科研项目 专利转化项目: 专利技术转让, 2020-2035 基本科研业务费自由申报项目: 社交网络舆论内容感知及态势演进分析方法研究, 2020-2022 国家重点研发计划-任务: 面向司法公开持续改进的庭审直播社会关注度与社会效应评估技术研究, 2018-2021 基本科研业务费研究生创新项目: 面向反讽修辞的文本情感分析方法研究, 2019-2021 其它: 情感计算、隐式情感挖掘及情感演进问题研究, 2019-2020 北京交通大学: 边缘计算技术、标准及认证需求研究, 2018-2019 教育部人文社科“青年”: 社交网络舆情演进态势预测及引导方法研究, 2018-2021 北京交通大学: 统一身份认证关键技术研究, 2018-2021 国家重点研发计划: 营运车辆运营保障多源数据挖掘应用关键技术研究, 2017-2019 基本科研业务费人才基金: 社交网络中基于增强学习的动态推荐算法研究, 2018-2019

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)