FLMJR: Improving Robustness of Federated Learning via Model Stability. - Qi Guo; Di Wu 062; Yong Qi; Saiyu Qi; Qian Li 024 (ESORICS (3), 2022)

Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label. - Qian Li 024; Qingyuan Hu; Saiyu Qi; Yong Qi; Di Wu 062; Yun Lin 001; Jin Song Dong 001 (Knowl. Based Syst., 2022)

EPPVChain: An Efficient Privacy-Preserving Verifiable Query Scheme for Blockchain Databases. - Jingxian Cheng; Saiyu Qi; Yong Qi; Jianfeng Wang 001; Qin Jiang; Di Wu 062 (TrustCom, 2023)

Understanding and defending against White-box membership inference attack in deep learning. - Di Wu 062; Saiyu Qi; Yong Qi; Qian Li 024; Bowen Cai 004; Qi Guo; Jingxian Cheng (Knowl. Based Syst., 2023)

Revisiting Gradient Regularization: Inject Robust Saliency-Aware Weight Bias for Adversarial Defense. - Qian Li 024; Qingyuan Hu; Chenhao Lin; Di Wu 062; Chao Shen 001 (IEEE Trans. Inf. Forensics Secur., 2023)

FedMCSA: Personalized federated learning via model components self-attention. - Qi Guo; Yong Qi; Saiyu Qi; Di Wu 062; Qian Li 024 (Neurocomputing, 2023)

Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity. - Qian Li 024; Di Wu 062; Dawei Zhou 004; Chenhao Lin; Shuai Liu 016; Cong Wang 001; Chao Shen 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Dual Class-Aware Contrastive Federated Semi-Supervised Learning. - Qi Guo; Di Wu 062; Yong Qi; Saiyu Qi (IEEE Trans. Mob. Comput., 2025)