1. Yang Y, Cheng J, Wu R, Tan X, Li H, Liu Z, Yu H, Su X. TGDCLNet: Teacher-Guided Denoising Contrastive Learning Network-Based IoT Network Intrusion Detection. IEEE Internet of Things Journal. 2025.
2. Liu, J.,Tu, W., Han, R., Wu, J., Wang, H., Liu, G.,Tang X, Yang, Y*. Personalized Federated Graph-Level Clustering Network. AAAI,2026
3. W. Zhao, X. Tang, Y. Yang*, X. Cao, Z. Tang and J. Chen, "MFNID: Multiscale Feature Fusion Learning for Self-supervised Network Intrusion Detection," in IEEE Internet of Things Journal, 2026
4. Yang Y, Tang X, Liu Z, Cheng J, Fang H, Zhang C. Diff-IDS: A Network Intrusion Detection Model Based on Diffusion Model for Imbalanced Data Samples. Computers, Materials & Continua. 2025
5. Yang Y, Cheng J, Liu Z, Li H, Xu G. A multi-classification detection model for imbalanced data in NIDS based on reconstruction and feature matching. Journal of Cloud Computing. 2024.
6. Cheng J, Yang Y*, Tang X, Xiong N, Zhang Y, Lei F. Generative adversarial networks: A literature review. KSII Transactions on Internet & Information Systems. 2020.