Unbalanced abnormal traffic detection based on improved Res-BIGRU and integrated dynamic ELM optimization. - Wengang Ma; Yadong Zhang; Jin Guo; Kehong Li (Comput. Commun., 2021)

Abnormal Traffic Detection Based on Generative Adversarial Network and Feature Optimization Selection. - Wengang Ma; Yadong Zhang; Jin Guo; Kehong Li (Int. J. Comput. Intell. Syst., 2021)

Few-Shot Abnormal Network Traffic Detection Based on Multi-scale Deep-CapsNet and Adversarial Reconstruction. - Wengang Ma; Yadong Zhang; Jin Guo; Qian Yu (Int. J. Comput. Intell. Syst., 2021)

Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data. - Yuqin Zhu; Wengang Ma; Ling Cong 002; Chengtao Li; Shixiang Hu (ICBDS, 2022)

Unbalanced network attack traffic detection based on feature extraction and GFDA-WGAN. - Kehong Li; Wengang Ma; Huawei Duan; Han Xie; Juanxiu Zhu; Ruiqi Liu (Comput. Networks, 2022)

Few-shot IoT attack detection based on RFP-CNN and adversarial unsupervised domain-adaptive regularization. - Kehong Li; Wengang Ma; Huawei Duan; Han Xie; Juanxiu Zhu (Comput. Secur., 2022)

Few-shot IoT attack detection based on SSDSAE and adaptive loss weighted meta residual network. - Wengang Ma; Liang Ma; Kehong Li; Jin Guo (Inf. Fusion, 2023)

LDoS attack traffic detection based on feature optimization extraction and DPSA-WGAN. - Wengang Ma; Ruiqi Liu; Jin Guo (Appl. Intell., 2023)

A collaborative central domain adaptation approach with multi-order graph embedding for bearing fault diagnosis under few-shot samples. - Wengang Ma; Ruiqi Liu; Jin Guo; Zicheng Wang; Liang Ma (Appl. Soft Comput., 2023)

An adversarial domain adaptation approach combining dual domain pairing strategy for IoT intrusion detection under few-shot samples. - Wengang Ma; Ruiqi Liu; Kehong Li; Shan Yan; Jin Guo (Inf. Sci., 2023)

An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples. - Wengang Ma; Yadong Zhang; Liang Ma; Ruiqi Liu; Shan Yan (Expert Syst. Appl., 2023)

Multi-source refined adversarial domain adaptation with transfer complementarity infusion for IoT intrusion detection under limited samples. - Kehong Li; Wengang Ma; Huawei Duan; Han Xie (Expert Syst. Appl., 2024)

A source free robust domain adaptation approach with pseudo-labels uncertainty estimation for rolling bearing fault diagnosis under limited sample conditions. - Ruiqi Liu; Wengang Ma; Feipeng Kuang; Jin Guo; Ning Zhao (Knowl. Based Syst., 2024)

A multi-constraint transfer approach with additional auxiliary domains for IoT intrusion detection under unbalanced samples distribution. - Ruiqi Liu; Wengang Ma; Jin Guo (Appl. Intell., 2024)

Optimal Age of Information and Throughput Scheduling in Heterogeneous Traffic Wireless Physical-Layer Security Communications. - Qingquan Zhang; Ziheng Xu; Xiaolong Lan; Jialin Chen; Junjiang He; Wengang Ma; Qingchun Chen (IEEE Internet Things J., 2024)

A Hierarchical Unmanned Aerial Vehicle Network Intrusion Detection and Response Approach Based on Immune Vaccine Distribution. - Jiangchuan Chen; Junjiang He; Wenshan Li 001; Wenbo Fang; Xiaolong Lan; Wengang Ma; Tao Li 016 (IEEE Internet Things J., 2024)

Corrections to "A Hierarchical Unmanned Aerial Vehicle Network Intrusion Detection and Response Approach Based on Immune Vaccine Distribution". - Jiangchuan Chen; Junjiang He; Wenshan Li 001; Wenbo Fang; Xiaolong Lan; Wengang Ma; Tao Li 016 (IEEE Internet Things J., 2024)

Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks. - Ao Liu 005; Wenshan Li 001; Beibei Li 002; Wengang Ma; Tao Li 016; Pan Zhou 001 (AAAI, 2025)

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience. - Ao Liu 005; Wenshan Li 001; Tao Li 016; Beibei Li 002; Guangquan Xu; Pan Zhou 001; Wengang Ma; Hanyuan Huang (AAAI, 2025)

A multi-source domain adaptation approach with learning domain-specific representations for bearing fault diagnosis under limited samples. - Qiang Zhou; Wengang Ma; Yadong Zhang; Jin Guo (Appl. Soft Comput., 2025)

Adaptive fault prototype network with joint learning transferability and discriminability for cross-domain bearing fault diagnosis. - Jian Wang; Wengang Ma; Yadong Zhang; Ruiqi Liu (Eng. Appl. Artif. Intell., 2025)

Bearing fault diagnosis for variable working conditions via lightweight transformer and homogeneous generalized contrastive learning with inter-class repulsive discriminant. - Qiang Zhou; Wengang Ma; Yadong Zhang; Jin Guo (Eng. Appl. Artif. Intell., 2025)

NSA-AE: An inadequately represented immune spaces NSA augmented via autoencoders. - Jiangchuan Chen; Junjiang He; Wenshan Li 001; Wenbo Fang; Xiaolong Lan; Wengang Ma; Tao Li 016; Dawei Zhao (Neurocomputing, 2025)

Defending Against APT Attacks in Cloud Computing Environments Using Grouped Multiagent Deep Reinforcement Learning. - Jialin Chen; Xiaolong Lan; Qingquan Zhang; Wengang Ma; Wenbo Fang; Junjiang He (IEEE Internet Things J., 2025)

A Dual Active Domain Adaptation Approach With Loss Prediction for IIoT Intrusion Detection Under Imperfect Samples. - Wengang Ma; Xiaolong Lan; Ruiqi Liu; Jian Wang; Qiang Zhou (IEEE Internet Things J., 2025)