Zhao Zhang

Orcid: 0000-0001-9165-1439

Affiliations:
  • Beijing University of Posts and Telecommunication, School of Electronic Engineering, China


According to our database1, Zhao Zhang authored at least 14 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Casual inference-enabled graph neural networks for generalized fault diagnosis in industrial IoT system.
Inf. Sci., 2025

2023
Communication-efficient federated continual learning for distributed learning system with Non-IID data.
Sci. China Inf. Sci., February, 2023

A Manifold Consistency Interpolation Method of Poisoning Attacks Against Semi-Supervised Model.
IEEE Trans. Inf. Forensics Secur., 2023

CSDnet:Causal Inference Aided Handover Parameter Adjusting Effect Estimation in Cellular Networks.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Sanitation Dataset.
Dataset, May, 2022

Large-scale cellular traffic prediction based on graph convolutional networks with transfer learning.
Neural Comput. Appl., 2022

SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system.
Future Gener. Comput. Syst., 2022

Unknown network attack detection based on open-set recognition and active learning in drone network.
Trans. Emerg. Telecommun. Technol., 2022

Adaptive Spatial-Temporal Convolution Network for Traffic Forecasting.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network.
Proceedings of the IEEE INFOCOM 2022, 2022

Evaluation of data poisoning attacks on federated learning-based network intrusion detection system.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021
A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks.
Int. J. Mach. Learn. Cybern., 2021

2019
Human Activity Recognition Based on Motion Sensor Using U-Net.
IEEE Access, 2019

2018
Human activity recognition based on time series analysis using U-Net.
CoRR, 2018


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