System dynamics model for high-speed railway operation safety supervision system based on evolutionary game theory. - Kehong Li; Yadong Zhang; Jin Guo; Xiaocheng Ge; Yuebin Su (Concurr. Comput. Pract. Exp., 2019)

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)

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)

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)

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)