M2VT-IDS: A multi-task multi-view learning architecture for designing IoT intrusion detection system. - Fengyuan Nie 001; Weiwei Liu 002; Guangjie Liu 001; Bo Gao 005 (Internet Things, 2024)

Resource Knowledge-Driven Heterogeneous Graph Learning for Website Fingerprinting. - Bo Gao 005; Weiwei Liu 002; Guangjie Liu 001; Fengyuan Nie 001 (IEEE Trans. Cogn. Commun. Netw., 2024)

IoT-AMLHP: Aligned multimodal learning of header-payload representations for resource-efficient malicious IoT traffic classification. - Fengyuan Nie 001; Guangjie Liu 001; Weiwei Liu 002; Jianan Huang 001; Bo Gao 005 (Ad Hoc Networks, 2025)

QuicCourier: Leveraging the Dynamics of QUIC- Based Website Browsing Behaviors Through Proxy for Covert Communication. - Jianan Huang 001; Weiwei Liu 002; Guangjie Liu 001; Bo Gao 005; Fengyuan Nie 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Multi-Level Resource-Coherented Graph Learning for Website Fingerprinting Attacks. - Bo Gao 005; Weiwei Liu 002; Guangjie Liu 001; Fengyuan Nie 001; Jianan Huang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

WF-A2D: Enhancing Privacy With Asymmetric Adversarial Defense Against Website Fingerprinting. - Jianan Huang 001; Weiwei Liu 002; Guangjie Liu 001; Bo Gao 005; Fengyuan Nie 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Empowering Anomaly Detection in IoT Traffic Through Multiview Subspace Learning. - Fengyuan Nie 001; Weiwei Liu 002; Guangjie Liu 001; Bo Gao 005; Jianan Huang 001; Wen Tian; Chau Yuen (IEEE Internet Things J., 2025)