Zixuan Wang

Orcid: 0000-0001-6049-1006

According to our database1, Zixuan Wang authored at least 19 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Two-Stage Energy Prediction With Prior Estimation and Dynamic Adaptation for Symbiotic IOV.
IEEE Internet Things J., October, 2025

Explainable Dual-Branch Combination Network With Key Words Embedding and Position Attention for Sentimental Analytics of Social Media Short Comments.
IEEE Trans. Comput. Soc. Syst., June, 2025

2024
Explainable Deep Learning-Based Feature Selection and Intrusion Detection Method on the Internet of Things.
Sensors, August, 2024

Network traffic classification based on federated semi-supervised learning.
J. Syst. Archit., 2024

Unsupervised Real-Time Flow Data Drift Detection Based on Model Logits for Internet of Things Network Traffic Classification.
Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

2023
A remaining useful life estimation method based on long short-term memory and federated learning for electric vehicles in smart cities.
PeerJ Comput. Sci., 2023

FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing.
CoRR, 2023

Deep Learning for Network Traffic Prediction: An Overview.
Proceedings of the IEEE Intl Conf on Dependable, 2023

2022
SDN traffic anomaly detection method based on convolutional autoencoder and federated learning.
Proceedings of the IEEE Global Communications Conference, 2022

A Survey of Quantitative Comparative Research on Intrusion Detection Algorithms in Wireless Sensor Networks.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

A Trusted Classification Method of Encrypted Traffic Based on Attention Mechanism.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
ByteSGAN: A Semi-supervised Generative Adversarial Network for Encrypted Traffic Classification of SDN Edge Gateway in Green Communication Network.
CoRR, 2021

ByteSGAN: A semi-supervised Generative Adversarial Network for encrypted traffic classification in SDN Edge Gateway.
Comput. Networks, 2021

Few-shot malicious traffic classification based on Siamese Neural Network.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

An Explainable Intrusion Detection System.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Convolutional One-Dimensional Variational Autoencoder Based Intrusion detection.
Proceedings of the IEEE Intl Conf on Dependable, 2021

Evaluation of feature selection on network traffic classification.
Proceedings of the IEEE Intl Conf on Dependable, 2021

2020
PacketCGAN: Exploratory Study of Class Imbalance for Encrypted Traffic Classification Using CGAN.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
FLOWGAN: Unbalanced Network Encrypted Traffic Identification Method Based on GAN.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019


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