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张宇,沈波,张靖林,张致远.Effective history and efficient integration for conversational machine reading comprehension.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2024,1(46)
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赵轩,沈波,Zhang,Liu,Shi,Zhao,张致远.Deterministic Scheduling Algorithm Based on Proportional Conflict and Deadline in Industrial Wireless Networks.Journal of Computers (Taiwan),2024,1(35)
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罗贵珣,陈乃月,张致远,李浥东,何家欢,金兵伟.Privacy-preserving clustering federated learning for non-IID data.Future Generation Computer Systems,2024,special issue(154)
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罗贵珣,张致远,刁苏蒙.Empirical analysis and modelling social network user interaction behavior and time characteristics based on selection preference.Information Sciences,2022,0(volume608)
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常艺茹,张致远,罗贵珣.ECANP: A Topic Influence Evaluation Model for Hot Topics.Computational Intelligence and Neuroscience,2022,2022(2022)
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儒曼,武迪,张致远.面向新高考“3+X”走班制排课的优先度算法.电子元器件与信息技术,2021,11期(5)
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李英龙,张振江,张致远,Chih.Secure Federated Learning with Efficient Communication in Vehicle Network.JOURNAL OF INTERNET TECHNOLOGY,2020,7(21)
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罗贵珣,张致远,张振江,刘云,王立夫.A Smart Privacy-Preserving Learning Method by Fake Gradients to Protect Users Items in Recommender Systems.Complexity,2020,0(2020)
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罗贵珣,张致远,鲍泽民,陈乃月.A novel method for the time series data processing and analysis of social networks.Journal of Computers,2020,4(31)
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张阳,刘云,Chao,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)
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张致远,鲍泽民.A combined time series model for the prediction of social network popularity and content evolution.Journal of Internet Technology,2020,4(21)
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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)
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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)
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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)
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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)
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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)
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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)
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张致远,刘云,张振江.Field-Aware Matrix Factorization for Recommender Systems.IEEE Access,2018,0(6)
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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)
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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)
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罗贵珣,张致远,陈乃月,段莉,艾慧琳,林雍涵.Privacy-Preserving Approximate Calculation of Subgraphs in Social Networking Services.IEEE International Conference on Web Services (ICWS),2024
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陈乃月,何洁,王翔,张致远,杨萍,符艳平.Community Detection with Indirect Neighbors based on Granular Computing in Social Networks.2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN),2019
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王立夫,沈波,赵宁,张致远.Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?.2798,2021
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徐志强,沈波,张致远.Secure Sharing Sensitive Data Based on Network Coding and Attribute-Based Encryption.Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST,2021
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符艳平,刘云,王雅静,崔勇,张致远.Mixed Word Representation and Minimal Bi-GRU Model for Sentiment Analysis.2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media),2020
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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
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