Wengang Ma
Orcid: 0000-0001-6828-0633
According to our database1,
Wengang Ma
authored at least 25 papers
between 2021 and 2025.
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Bibliography
2025
A Dual Active Domain Adaptation Approach With Loss Prediction for IIoT Intrusion Detection Under Imperfect Samples.
IEEE Internet Things J., July, 2025
Defending Against APT Attacks in Cloud Computing Environments Using Grouped Multiagent Deep Reinforcement Learning.
IEEE Internet Things J., June, 2025
Neurocomputing, 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
Adaptive fault prototype network with joint learning transferability and discriminability for cross-domain bearing fault diagnosis.
Eng. Appl. Artif. Intell., 2025
A multi-source domain adaptation approach with learning domain-specific representations for bearing fault diagnosis under limited samples.
Appl. Soft Comput., 2025
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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
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