陈志立 - 华东师范大学 - 软件工程学院

个人简介

陈志立，出生于1980年8月，华东师范大学软件工程学院，教授，博导。主要研究方向包括安全多方计算及其应用、差分隐私及其应用、联邦机器学习、隐私保护和信息隐藏等。在IEEE INFOCOM、IEEE DSN、IEEE SRDS、ACM MobiHoc、IEEE/ACM IWQoS、ICICS、SecureComm等信息安全和计算机网络高水平会议，以及在IEEE Transactions on Information Forensics and Security、IEEE Transactions on Dependable and Secure Computing、IEEE Transactions on Wireless Communications、Ad Hoc Networks、Computer Communications等计算机重要期刊上发表了信息安全和计算机网络相关的论文70篇以上，其中第一作者或通信作者25篇，SCI/EI检索60篇以上，已申请或获授权发明专利30多项。承担国家自然科学基金项目(面上和青年项目)、江苏省自然科学基金项目、博士后基金项目等多个信息安全相关的研究课题。教育经历 2004.9–2009.7, 中国科学技术大学, 计算机软件与理论, 博士学位, 导师: 黄刘生 1999.9–2004.7, 中国科学技术大学, 软件工程, 学士学位工作经历 2021.01-至今, 华东师范大学, 软件工程学院, 教授 2015.8-2020.12, 安徽大学, 计算机科学与技术学院, 教授 2009.7-2015.8, 中国科学技术大学, 计算机科学与技术学院, 博后、讲师、副教授社会兼职国际学术会议ICBCTIS 2021 Technical Chair 中国计算机学会推荐C类会议IEEE MASS 2018，IEEE MASS 2019，IEEE MASS 2021 TPC Member 数字水印专业会议IWDW 2012自由审稿人下列著名期刊审稿人 IEEE Transactions on Information Forensics and Security, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Mobile Computing, IEEE Transactions on Services Computing, IEEE Transactions on Communications, IEEE Transactions on Cybernetics, SCIENCE CHINA Information Sciences, Pattern Recognition, Computers & Security, 计算机学报，电子与信息学报等荣誉及奖励 2009 获中国科学院院长奖 2019 获安徽省高校优秀青年人才支持计划

研究领域

安全多方计算及其应用差分隐私及其应用联邦机器学习和数据隐私保护网络资源分配中的隐私保护信息隐藏

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhili Chen, Tianjiao Ni, Hong Zhong, Shun Zhang, Jie Cui. Differentially Private Double Spectrum Auction with Approximate Social Welfare Maximization. IEEE Transactions on Information Forensics and Security, 14(11): 2805 - 2818, 2019. (CCF推荐A类) Zhili Chen,Liusheng Huang, Lin Chen. ITSEC: An Information-theoretically Secure Framework for Truthful Spectrum Auctions. Proc. of IEEE INFOCOM 2015, pp. 2065-2073. (full paper) (CCF推荐A类会议，录用率: 19%) Zhili Chen, Liusheng Huang, Lu Li, Wei Yang, Haibo Miao, Miaomiao Tian, Fei Wang. PS-TRUST: Provably Secure Solution for Truthful Double Spectrum Auctions. Proc. of IEEE INFOCOM 2014, pp. 1249-1257. (full paper) (CCF推荐A类会议，录用率: 19.4%) Zhili Chen, Lin Chen, Hong Zhong. Towards Secure and Verifiable Database-driven Spectrum Sharing. Proc. of IEEE DSN 2017, pp. 285-296. (CCF推荐B类会议，录用率: 49/220=22%) Zhili Chen, Xuemei Wei, Hong Zhong, Jie Cui, Yan Xu, Shun Zhang. Secure, Efficient and PracticalDouble Spectrum Auction. Proc. of IEEE/ACM IWQoS 2017. (CCF推荐B类会议) Zhili Chen, Lin Chen,Liusheng Huang, Hong Zhong. On Privacy-preserving Cloud Auction. Proc. of IEEE SRDS 2016, pp 279-288. (regular paper) (CCF推荐B类会议，通常每年录用文章30篇左右) Zhili Chen, Lin Chen,Liusheng Huang, Hong Zhong. Poster: Towards Secure Spectrum Auction: Both Bids and Bidder Locations Matter. Proc. of ACM MobiHoc 2016, pp. 361-362. (CCF推荐B类会议，录用率< 30%) Zhili Chen, He Huang, Yu-e Sun, Liusheng Huang. True-MCSA: A Framework for Truthful Double Multi-Channel Spectrum Auctions. IEEE Transactions on Wireless Communications, 12(8): 3838-3850, 2013. (CCF推荐B类) Zhili Chen, Sheng Chen, Hong Zhong, Lin Chen, Miaomiao Tian. 2018. PP-MCSA: Privacy Preserving Multi-channel Double Spectrum Auction. International Conference on Information and Communications Security, pp. 248-267.（CCF推荐会议，录用率为19%） Shun Zhang, Laixiang Liu, Zhili Chen(通信), Hong Zhong. Probabilistic Matrix Factorization with Personalized Differential Privacy. Knowledge-Based Systems. DOI: 10.1016/j.knosys.2019.07.035.（CCF推荐期刊，中科院一区） Tianjiao Ni (学生), Minghao Qiao (学生), Zhili Chen(通信作者), Shun Zhang, Hong Zhong. Utility-efficient Differentially Private K-means Clustering based on Cluster Merging. Neurocomputing 2020. (CCF推荐期刊，中科院二区) Zhili Chen, Yu Wang, Shun Zhang, Hong Zhong, Lin Chen. Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering. Expert Systems With Applications 2020. (CCF推荐期刊，中科院一区)