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郭桃林
作者:佚名,2024-03-27,编辑:钟华,浏览量: 次

n 基本情况:

郭桃林1987 2,男,中共党员,博士,讲师

n 教育与工作经历:

200709—201106四川农业大学 本科

201109—201306东南大学 硕士

201309—202003东南大学 博士

202006202306 重庆大学 弘深青年教师

202307—今 重庆师范大学 讲师

n 研究方向:

隐私保护

n 科研项目情况:

1. 国家自然科学区域创新发展联合基金重点项目:面向特大城市服务软件系统的多维度态势感知、异常分析与预测理论及关键技术研究,20231月—202612月,课题负责人

2. 中国博士后科学基金面上项目:个性化推荐场景下面向不可信服务器的本地差分隐私保护技术研究,2021年7月至2023年7月,项目负责人

3. 重庆市自然科学基金面上项目:匿名社交网络环境下本地差分隐私保护的个性化推荐数据收集研究,2022年8月至2025年7月,项目负责人

4. 重庆市博士后研究特别资助项目:内容高维度、强关联条件下的协同过滤用户隐私保护机制研究,2021年1月至2023年7月,项目负责人

5. 重庆师范大学博士启动基金项目:面向协同过滤推荐的本地差分隐私保护技术研究,2023年10月至2025年10月,项目负责人

n 科研论文情况:

[1] Taolin Guo*, Shunshun Peng, Zhejian Zhang, Mengmeng Yang and Kwok-Yan Lam. Improving the accuracy of locally differentially private community detection by order-consistent data perturbation [C]. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024. (Accepted, CCF A)

[2] Mengmeng Yang, Taolin Guo, Tianqing Zhu*, Ivan Tjuawinata, Jun Zhao, and Kwok-Yan Lam. Local differential privacy and its applications: A comprehensive survey[J]. Computer Standards & Interfaces, 2024: 103827. (SCI)

[3] Taolin Guo, Shunshun Peng, Kai Dong, You Zhao, and Mingliang Zhou. RDPCF: Range-based differentially private user data perturbation for collaborative filtering [J]. Computers & Security, 2023, 134:103452. (SCI,中科院二区,CCF B)

[4] Taolin Guo*, Shunshun Peng, Yong Li, Mingliang Zhou, Trieu-Kien Truong. Community-based Social Recommendation under Local Differential Privacy Protection, Information Sciences [J]. Information Sciences, 2023, 639: 119002. (SCI,中科院一区TOPCCF B)

[5] Haonan Wu, Ruisheng Ran*, Shunshun Peng, Mengmeng Yang, and Taolin Guo*. Mining Frequent Items from High-Dimensional Set-Valued Data in Internet of Things under Local Differential Privacy Protection [J]. Expert Systems With Applications, 2023, 234:121105. (SCI,中科院一区TOPCCF C)

[6] Ming Wang, Yong Li, Jianqing Liu, Taolin Guo, Huihui Wu, Francis C.M. Lau. Neural layered min-sum decoders for cyclic codes [J]. Physical Communication, 2023, 61:102194. (SCI)

[7] Shunshun Peng, Taolin Guo*, Multi-objective Service Composition using Enhanced Multi-objective Differential Evolution Algorithm [J]. Computational Intelligence and Neuroscience, 2023, 8184367.

[8] Qi Li, Shunshun Peng, Haonan Wu, Ruisheng Ran, Yong Li, Mingliang Zhou, Taolin Guo*, and Qin Mao. Locally Differentially Private Frequent Pattern Mining for High-Dimensional Data in Mobile Smart Services [J]. International Journal of Pattern Recognition and Artificial Intelligence, 2022-11,36 (15):2259039. (SCICCF C)

[9] Jie Dong, Yong Li*, Rui Liu, Taolin Guo, and Francis C. M. Lau, Efficient Decoder for Turbo Product Codes Based on Quadratic Residue Codes [J]. Electronics, 2022, 11(21):3598. SCI

[10] Taolin Guo, Junzhou Luo*, Kai Dong and Ming Yang. Locally Differentially Private Item-based Collaborative Filtering [J]. Information Sciences, 2019, 502:229-246. (SCI,中科院一区TOPCCF B)

[11] Kai Dong*, Taolin Guo, Xiaolin Fang, Zhen Ling, and Haibo Ye. Estimating the Number of Posts in Sina Weibo[J]. Computers, Materials & Continua, 2019, 57(1):197-213.SCI

[12] Taolin Guo*, Junzhou Luo, Kai Dong and Ming Yang. Differentially Private Graph-link Analysis based Social Recommendation [J]. Information Sciences, 2018, 463-464: 214-226. (SCI,中科院一区TOPCCF B)

[13] Taolin Guo*, Junzhou Luo, Kai Dong , Zhouguo Chen, Yubin Guo and Ming Yang. Estimating the Number of Posts in Microblogging Services [C]. in Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018:283-288. (EICCF C)

[14] Taolin Guo*, Kai Dong, Lihe Wang, Ming Yang and Junzhou Luo. Privacy Preserving Profile Matching for Social Networks [C]. in Proceedings of the Sixth International Conference on Advanced Cloud and Big Data , 2018:263-268.EI

[15] Kai Dong*, Taolin Guo, Haibo Ye, Xuansong Li, and Zhen Ling. On the Limitations of Existing Notions of Location Privacy [J]. Future Generation Computer Systems, September, 2018, 86(1): 1513-1522. (SCI,中科院二区,CCF C)

[16] Kai Dong*, Taolin Guo, Zhen Ling, Ming Yang, and Wenjia Wu. Apson: Anonymous and Private Social Network [J]. Journal of Internet Technology, 2017, 18(7): 1543-1551.SCI


n 联系方式

电子邮箱:tguo@cqnu.edu.cn

欢迎希望从事隐私保护研究的同学报考我的硕士研究生!


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