Multi-objective evolutionary 3D face reconstruction based on improved encoder-decoder network. - Xingjuan Cai; Yihao Cao; Yeqing Ren; Zhihua Cui; Wensheng Zhang 002 (Inf. Sci., 2021)

Cross-modal person re-identification based on deep attention hash learning. - Rui Zhang; Yihao Cao; Weiquan Zhang; Xingjuan Cai (Concurr. Comput. Pract. Exp., 2023)

Manipulating vulnerability: Poisoning attacks and countermeasures in federated cloud-edge-client​ learning for image classification. - Yaru Zhao; Jianbiao Zhang; Yihao Cao (Knowl. Based Syst., 2023)

Dual feature enhanced video super-resolution network based on low-light scenarios. - Huan Zhang; Yihao Cao; Jianghui Cai; Xingjuan Cai; Wensheng Zhang 002 (Signal Process. Image Commun., 2023)

DAResNet Based on double-layer residual block for restoring industrial blurred images. - Weiquan Zhang; Yihao Cao; Rui Zhang; Wensheng Zhang 002; Zhihua Cui (Signal Process. Image Commun., 2023)

SRFL: A Secure & Robust Federated Learning framework for IoT with trusted execution environments. - Yihao Cao; Jianbiao Zhang; Yaru Zhao; Pengchong Su; Haoxiang Huang (Expert Syst. Appl., 2024)

FlexibleFL: Mitigating poisoning attacks with contributions in cloud-edge federated learning systems. - Yaru Zhao; Yihao Cao; Jianbiao Zhang; Haoxiang Huang; Yanhui Liu (Inf. Sci., 2024)

Privacy-Preserving Federated Learning With Improved Personalization and Poison Rectification of Client Models. - Yihao Cao; Jianbiao Zhang; Yaru Zhao; Hong Shen 001; Haoxiang Huang (IEEE Trans. Inf. Forensics Secur., 2024)

SABDTM: Security-first architecture-based dynamic trusted measurement scheme for operating system of the virtual computing node. - Haoxiang Huang; Jianbiao Zhang; Lei Zhang; Jun Hu; Yihao Cao (Comput. Secur., 2024)

DMSCTS: Dynamic measurement scheme for the containers-hybrid-deployment based on trusted subsystem. - Yufei Han; Chao Li; Jianbiao Zhang; Yifan Wang; Lehao Yu; Yihao Cao; Hong Shen 001; Weixing Hou; Hailin Luo (Comput. Secur., 2025)

MOFDRNet: A Model for Data Leakage Attacks in Federated Learning. - Yaru Zhao; Jianbiao Zhang; Yihao Cao; Xianqun Han (Concurr. Comput. Pract. Exp., 2025)