欧宝游戏竞技

欧宝游戏竞技: 熊平

发布者:陈溪发布时间:2018-10-26浏览次数:6070


姓名: 熊平

籍贯: 湖北荆州

系: 计算机科学与技术系

民族: 

E-mail: pingxiong@zuel.edu.cn



社会兼职:湖北省网络空间安全学会理事 

研究方向:数据挖掘、机器学习、隐私保护

讲授课程:信息安全概论、机器学习基础与实践、密码学

 

个人简历:欧宝游戏竞技教授、博士生导师,IEEE会员,CCF会员,湖北省网络空间安全学会理事。从事信息安全、隐私保护、数据挖掘与机器学习等领域的教学与研究工作。近年来一直专注于差分隐私理论及应用方面的研究,解决在大数据背景下网络空间的用户隐私保护问题,在《计算机学报》、《计算机研究与发展》、FGCS、KAIS、EIS、IEEE Transactions等国内外学术期刊发表学术论文40余篇,主要涉及社交网络、推荐系统以及位置服务应用中的隐私保护问题。

 

学术成果:

1.Xiong P, Liang L, Zhu Y, Zhu T. Privacy Risk Assessment for Text Data Based on Semantic Correlation Learning. Paper presented at: The 16th International Conference on Wireless Algorithms, Systems, and Applications (WASA)2021.

2.Xiong P, Li G, Ren W, Zhu T. LOPO: a location privacy preserving path optimization scheme for spatial crowdsourcing. Journal of Ambient Intelligence and Humanized Computing. 2021/05/07 2021.

3.Zhang T, Zhu T, Xiong P, Huo H, Tari Z, Zhou W. Correlated Differential Privacy: Feature Selection in Machine Learning. IEEE Transactions on Industrial Informatics. 2020;16(3):2115-2124.

4.Yang Yang, Ping Xiong, Qing Huang, Chen F. Secure and efficient outsourcing computation on large-scale linear regressions. Information Sciences. 2020;522:134-147.

5.Tianqing Zhu , Ping Xiong, Gang Li, Wanlei Zhou, Philip S Yu. Differentially private model publishing in cyber physical systems. Future Generation Computer Systems. 2020/07/01/ 2020;108:1297-1306.

6.Ping Xiong, Lefeng Zhang, Tianqing Zhu, Gang Li, Wanlei Zhou. Private collaborative filtering under untrusted recommender server. Future Generation Computer Systems. 2020;109:511-520.

7.Zhang L, Xiong P, Ren W, Zhu T. A differentially private method for crowdsourcing data submission. Concurrency and Computation: Practice and Experience. 2019;31(19):e5100.

8.Xiong P, Zhu D, Zhang L, Ren W, Zhu T. Optimizing rewards allocation for privacy-preserving spatial crowdsourcing. Computer Communications. 2019/10/15/ 2019;146:85-94.

9.Zhu T, Yang M, Xiong P, Xiong Y, Zhou W. An iteration-based differentially private social network data release. Computer systems science and engineering. 2018;33(2):61-69.

10.Zhu T, Li G, Xiong P, Zhou W. Answering differentially private queries for continual datasets release. Future Generation Computer Systems. 2018/10/01/ 2018;87:816-827.

11.Zhang L, Xiong P, Zhu T. A Differentially Private Method for Crowdsourcing Data Submission2018; Cham.

12.Zhu T, Xiong P, Li G, Zhou W, Yu PS. Differentially private query learning: From data publishing to model publishing. Paper presented at: 2017 IEEE International Conference on Big Data (Big Data); 11-14 Dec. 2017, 2017.

13.Xiong P, Zhang L, Zhu T. Reward-based spatial crowdsourcing with differential privacy preservation. Enterprise Information Systems. 2017;11(10):1500-1517.

14.Zhu T, Li G, Zhou W, Xiong P, Yuan C. Privacy-preserving topic model for tagging recommender systems. Knowledge and Information Systems. 2016;46(1):33-58.

15.Xiong P, Zhu T, Niu W, Li G. A differentially private algorithm for location data release. Knowledge and Information Systems. 2016;47(3):647-669.

16.Xiong P, Zhang L, Zhu T. Semantic analysis in location privacy preserving. Concurrency and Computation: Practice and Experience. 2016;28(6):1884-1899.

17.Zhu T, Xiong P, Li G, Zhou W. Correlated differential privacy: hiding information in non-IID data set. Information Forensics and Security, IEEE Transactions on. 2015;10(2):229-242.

18.Zhu T, Li G, Ren Y, Zhou W, Xiong P. Privacy preserving data release for tagging recommender systems. Paper presented at: Web Intelligence2015.

19.Zhang L, Lu X, Xiong P, Zhu T. A Differentially Private Method for Reward-Based Spatial Crowdsourcing. Applications and Techniques in Information Security: Springer; 2015:153-164.

20.Yang F, Zheng Y, Xiong P. An Overview of Ad Hoc Network Security. Applications and Techniques in Information Security: Springer; 2015:129-137.

21.熊平, 朱天清, 王晓峰. 差分隐私保护及其应用. 计算机学报. 2014;37(1):101.

22.熊平, 朱天清, 金大卫. 一种面向决策树构建的差分隐私保护算法. 计算机应用研究. 2014;31(10):3108-3112.

23.熊平, 朱天清, 顾霄. 基于信息增益比例约束的数据匿名方法及其评估机制. 计算机应用研究. 2014;31(3):819-824.

24.熊平, 顾霄. 基于属性权重最优化的 k-means 聚类算法. 微电子学与计算机. 2014;31(4):40-43.

25.Zhu T, Ren Y, Zhou W, Rong J, Xiong P. An effective privacy preserving algorithm for neighborhood-based collaborative filtering. Future Generation Computer Systems. 2014;36:142-155.

26.Zhu T, Li G, Zhou W, Xiong P, Yuan C. Deferentially private tagging recommendation based on topic model. Advances in knowledge discovery and data mining: Springer; 2014:557-568.

27.Zhang L, Xiong P, Zhu T. Location Privacy Preserving for Semantic-Aware Applications. Applications and Techniques in Information Security: Springer; 2014:135-146.

28.Xiong P, Zhu T, Pan L, Niu W, Li G. Privacy Preserving in Location Data Release: A Differential Privacy Approach. PRICAI 2014: Trends in Artificial Intelligence: Springer; 2014:183-195.