Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection. - Hongwei Ding; Leiyang Chen; Liang Dong; Zhongwang Fu; Xiaohui Cui (Future Gener. Comput. Syst., 2022)

DCU-Net: a dual-channel U-shaped network for image splicing forgery detection. - Hongwei Ding; Leiyang Chen; Qi Tao; Zhongwang Fu; Liang Dong; Xiaohui Cui (Neural Comput. Appl., 2023)

Leveraging saliency priors and explanations for enhanced consistent interpretability. - Liang Dong 002; Leiyang Chen; Zhongwang Fu; Chengliang Zheng; Xiaohui Cui; Zhidong Shen (Expert Syst. Appl., 2024)

FDNet: Imperceptible backdoor attacks via frequency domain steganography and negative sampling. - Liang Dong 002; Zhongwang Fu; Leiyang Chen; Hongwei Ding; Chengliang Zheng; Xiaohui Cui; Zhidong Shen (Neurocomputing, 2024)

Identifying influential nodes in complex networks via Transformer. - Leiyang Chen; Ying Xi; Liang Dong; Manjun Zhao; Chenliang Li; Xiao Liu 004; Xiaohui Cui (Inf. Process. Manag., 2024)

OCIE: Augmenting model interpretability via Deconfounded Explanation-Guided Learning. - Liang Dong 002; Leiyang Chen; Chengliang Zheng; Zhongwang Fu; Umer Zukaib; Xiaohui Cui; Zhidong Shen (Knowl. Based Syst., 2024)

Stealthy dynamic backdoor attack against neural networks for image classification. - Liang Dong 002; Jiawei Qiu; Zhongwang Fu; Leiyang Chen; Xiaohui Cui; Zhidong Shen (Appl. Soft Comput., 2024)