施磊磊leileishi

讲师


学位:博士
性别:男
毕业院校:江苏大学
学历:博士研究生毕业
在职信息:在职
所在单位:计算机科学与通信工程学院

个人简介:

施磊磊,男,1989年10月生,江苏海门人,中共党员,物联网工程系支部书记

一、主讲课程:

本科生:《物联网新技术研讨(英语)》

留学生:《Machine Learning》

二、获批项目:

[1] 国家自然科学基金--青年基金项目,2024.01-2026.12,主持;

[2] 中国博士后科学基金面上资助项目,2023.07-2025.06,主持;

[3] 江苏大学留学生英文授课精品课程,2022.12-2024.11,主持;

[4] 江苏省高校自然科学研究面上项目,2022.07-2024.06,主持;

[5] 国家教育部产学合作协同育人项目,2021.09-2023.08,主持。

三、学术成果:

[1] A Novel Recommendation Algorithm Integrates Resource Allocation and Resource Transfer in Weighted Bipartite Network, Big Data Mining and Analytics, in press, 2024. (中科院一区)

[2] A Survey on Event Tracking in Social Media Data Streams, Big Data Mining and Analytics, vol.7, no.1, pp.217-243, 2024. (中科院一区)

[3] A fusion recommendation model based on mutual information and attention learning in heterogeneous social networks, Future Generation Computer Systems, vol.148, pp.128-138, 2023.(中科院一区)

[4] Data-driven diffusion recommendation in online social networks for the internet of people, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, pp. 166–178, 2022.(中科院一区)

[5] A novel influence maximization algorithm for a competitive environment based on social media data analytics, Big Data Mining and Analytics, vol. 5, pp. 130-139, 2022. (中科院一区)

[6] QoS prediction for smart service management and recommendation based on the location of mobile users," Neurocomputing, vol. 471, pp. 12-20, 2022.(中科院二区)

[7] A social sensing model for event detection and user influence discovering in social media data streams, IEEE Transactions on Computational Social Systems, vol. 7, pp. 141-150, 2020. (中科院二区)

[8] Human-centric cyber social computing model for hot-event detection and propagation, IEEE Transactions on Computational Social Systems, vol. 6, pp. 1042-1050, 2019. (中科院二区)

[9] An efficient evolutionary user interest community discovery model in dynamic social networks for internet of people, IEEE Internet of Things Journal, vol. 6, pp. 9226-9236, 2019. (中科院一区)

[10] Event detection and identification of influential spreaders in social media data streams, Big Data Mining and Analytics, vol. 1, pp. 34-46, 2018. (中科院一区)


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