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Loop profile: 2418161

Keywords

deep learning, network traffic

Biography

Zeyi LI is currently pursuing the Ph.D. degree in Cyberspace Security at Nanjing University of Posts and Telecommunications. He was born in Soochow, Jiangsu, China, in 1997. He received his B.S. degree in mathematics in 2019 and received M.S. degree in computer science in 2022. His research interests include network security, communication network security, anomaly detection and analysis, deep packet inspection, and graph neural networks.

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Education and qualifications (1)

Nanjing University of Posts and Telecommunications: nanjing, jiangsu, CN

Education
Source: Self-asserted source
Zeyi Li

Works (4)

FlowGANAnomaly: Flow-based Anomaly Network Intrusion Detection with Adversarial Learning

Chinese Journal of Electronics
2024 | Journal article
Contributors: LI, Zeyi; WANG, Pan; WANG, Zixuan
Source: Self-asserted source
Zeyi Li

Network traffic classification based on federated semi-supervised learning

Journal of Systems Architecture
2024-04 | Journal article
DOI: 10.1016/j.sysarc.2024.103091
Part of ISSN: 1383-7621
Contributors: ZiXuan Wang; ZeYi Li; MengYi Fu; YingChun Ye; Pan Wang
Source: Self-asserted source
Zeyi Li

Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study

Frontiers in Neurology
2023 | Journal article
Contributors: Li, Fengda; Chen, Anmin; Li, Zeyi; Gu, Longyuan; Pan, Qiyang; Wang, Pan; Fan, Yuechao; Feng, Jinhong
Source: Self-asserted source
Zeyi Li

A novel network flow feature scaling method based on cloud-edge collaboration

2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
2023-11-01 | Conference paper
DOI: 10.1109/trustcom60117.2023.00265
Contributors: Zeyi Li; Ze Zhang; Mengyi Fu; Pan Wang
Source: Self-asserted source
Zeyi Li
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