Contextual Gated Graph Convolutional Networks for Social Unrest Events Prediction. - Haiyang Wang; Bin Zhou 004; Zhipin Gu; Yan Jia 001 (DSC, 2020)

Detecting Malicious Model Updates from Federated Learning on Conditional Variational Autoencoder. - Zhipin Gu; Yuexiang Yang (IPDPS, 2021)

Detecting Malicious Gradients from Asynchronous SGD on Variational Autoencoder. - Zhipin Gu; Yuexiang Yang; Heyuan Shi (SRDS, 2021)

FREPD: A Robust Federated Learning Framework on Variational Autoencoder. - Zhipin Gu; Liangzhong He; Peiyan Li; Peng Sun; Jiangyong Shi; Yuexiang Yang (Comput. Syst. Sci. Eng., 2021)

Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks. - Haiyang Wang; Bin Zhou 004; Zhipin Gu; Yan Jia 001 (MDATA: A New Knowledge Representation Model, 2021)

Defending against Poisoning Attacks in Federated Learning from a Spatial-temporal Perspective. - Zhipin Gu; Jiangyong Shi; Yuexiang Yang; Liangzhong He (SRDS, 2023)

Defending against Adversarial Attacks in Federated Learning on Metric Learning Model. - Zhipin Gu; Jiangyong Shi; Yuexiang Yang; Liangzhong He (TrustCom, 2023)

ANODYNE: Mitigating backdoor attacks in federated learning. - Zhipin Gu; Jiangyong Shi; Yuexiang Yang (Expert Syst. Appl., 2025)