张致远

博士、副教授

基本信息

办公电话： 电子邮件： zhangzhiyuan@bjtu.edu.cn
通讯地址： 邮编：

教育背景

工作经历

2018.3-2021.12     北京交通大学电信学院    讲师

2021.12-今            北京交通大学电信学院    副教授

研究领域：数据挖掘，社交网络分析，推荐与用户建模，自言语言处理，信息网络安全


研究方向

  • 网络攻防与网络安全
  • 通信工程
  • 人工智能
  • 网络与信息安全

招生专业

  • 信息与通信工程硕士
  • 通信工程（含宽带网络、移动通信等）硕士
  • 人工智能硕士
  • 网络与信息安全硕士

科研项目

  • 北京市自然基金“面上”: 医疗隐私数据安全共享机制的研究, 2023-2025
  • 北京市科委: 北京市科技新星计划-情感可计算化与隐式情感分析技术研究, 2021-2024
  • 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
  • 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

教学工作

本科生课程《信息安全理论基础》、《信息安全课程设计》、《自然语言处理》

研究生课程《自然语言处理基础》

论文/期刊

  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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
  • 王立夫,沈波,赵宁,张致远.Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?.2798,2021
  • 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
  • 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
  • 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

专著/译著

专利

1. 一种面向微博的话题影响力评估方法

2. 基于蚁群分类挖掘过程的网络渗透攻击检测方法

软件著作权

司法舆情热点分析系统

获奖与荣誉

北京市科技新星，北京市科委，2021，排名1/1

社会兼职