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Zeyi Li
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Flowgananomaly: Flow-based anomaly network intrusion detection with adversarial learning
Z Li, P Wang, Z Wang
Chinese Journal of Electronics 33 (1), 58-71, 2024
262024
Network traffic classification based on federated semi-supervised learning
ZX Wang, ZY Li, MY Fu, YC Ye, P Wang
Journal of Systems Architecture 149, 103091, 2024
102024
Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study
F Li, A Chen, Z Li, L Gu, Q Pan, P Wang, Y Fan, J Feng
Frontiers in Neurology 14, 1139096, 2023
42023
Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study
L Gu, H Hu, S Wu, F Li, Z Li, Y Xiao, C Li, H Zhang, Q Wang, W Li, Y Fan
Heliyon 10 (1), 2024
32024
A novel network flow feature scaling method based on cloud-edge collaboration
Z Li, Z Zhang, M Fu, P Wang
2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 2023
22023
Infrared and visible image fusion method based on dual domain enhancement in low illumination environment
Y Ye, J Zhang, Z Li
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022
12022
Predicting functional outcomes of patients with spontaneous intracerebral hemorrhage based on explainable machine learning models: a multicenter retrospective study
B Pan, F Li, C Liu, Z Li, C Sun, K Xia, H Xu, G Kong, L Gu, K Cheng
Frontiers in Neurology 15, 1494934, 2025
2025
Trusted encrypted traffic intrusion detection method based on federated learning and autoencoder
W Zixuan, M Cheng, X Yuhua, L Zeyi, S Zhixin, W Pan
China Communications 21 (8), 211-235, 2024
2024
Unsupervised Real-Time Flow Data Drift Detection Based on Model Logits for Internet of Things Network Traffic Classification
P Wang, M Liu, Z Li, Z Wang, X Chen
2024 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2024
2024
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