Wengang Ma

Orcid: 0000-0001-6828-0633

According to our database1, Wengang Ma authored at least 19 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Bearing fault diagnosis for variable working conditions via lightweight transformer and homogeneous generalized contrastive learning with inter-class repulsive discriminant.
Eng. Appl. Artif. Intell., 2025

2024
Corrections to "A Hierarchical Unmanned Aerial Vehicle Network Intrusion Detection and Response Approach Based on Immune Vaccine Distribution".
IEEE Internet Things J., December, 2024

A Hierarchical Unmanned Aerial Vehicle Network Intrusion Detection and Response Approach Based on Immune Vaccine Distribution.
IEEE Internet Things J., October, 2024

Optimal Age of Information and Throughput Scheduling in Heterogeneous Traffic Wireless Physical-Layer Security Communications.
IEEE Internet Things J., July, 2024

A multi-constraint transfer approach with additional auxiliary domains for IoT intrusion detection under unbalanced samples distribution.
Appl. Intell., January, 2024

A source free robust domain adaptation approach with pseudo-labels uncertainty estimation for rolling bearing fault diagnosis under limited sample conditions.
Knowl. Based Syst., 2024

Multi-source refined adversarial domain adaptation with transfer complementarity infusion for IoT intrusion detection under limited samples.
Expert Syst. Appl., 2024

Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending against Poisoning Attacks.
CoRR, 2024

2023
An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples.
Expert Syst. Appl., September, 2023

An adversarial domain adaptation approach combining dual domain pairing strategy for IoT intrusion detection under few-shot samples.
Inf. Sci., June, 2023

A collaborative central domain adaptation approach with multi-order graph embedding for bearing fault diagnosis under few-shot samples.
Appl. Soft Comput., June, 2023

LDoS attack traffic detection based on feature optimization extraction and DPSA-WGAN.
Appl. Intell., June, 2023

Few-shot IoT attack detection based on SSDSAE and adaptive loss weighted meta residual network.
Inf. Fusion, 2023

2022
Few-shot IoT attack detection based on RFP-CNN and adversarial unsupervised domain-adaptive regularization.
Comput. Secur., 2022

Unbalanced network attack traffic detection based on feature extraction and GFDA-WGAN.
Comput. Networks, 2022

Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data.
Proceedings of the Big Data and Security - 4th International Conference, 2022

2021
Few-Shot Abnormal Network Traffic Detection Based on Multi-scale Deep-CapsNet and Adversarial Reconstruction.
Int. J. Comput. Intell. Syst., 2021

Abnormal Traffic Detection Based on Generative Adversarial Network and Feature Optimization Selection.
Int. J. Comput. Intell. Syst., 2021

Unbalanced abnormal traffic detection based on improved Res-BIGRU and integrated dynamic ELM optimization.
Comput. Commun., 2021


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