Design of Three-dimensional Interchange Network Based on IPv4/IPv6 Network. - Yange Chen; Zhili Zhang; Qingfang Cui (J. Networks, 2013)

Implementing Attacks on the Approximate Greatest Common Divisor Problem. - Leizhang Wang; Quanbo Qu; Tuoyan Li; Yange Chen (FCS, 2019)

A threshold hybrid encryption method for integrity audit without trusted center. - Yange Chen; Hequn Liu; Baocang Wang; Baljinnyam Sonompil; Yuan Ping; Zhili Zhang (J. Cloud Comput., 2021)

Privacy-preserving image multi-classification deep learning model in robot system of industrial IoT. - Yange Chen; Yuan Ping; Zhili Zhang; Baocang Wang; SuYu He (Neural Comput. Appl., 2021)

Efficient Private Information Retrieval Protocol with Homomorphically Computing Univariate Polynomials. - Wenju Xu; Baocang Wang; Rongxing Lu; Quanbo Qu; Yange Chen; Yupu Hu (Secur. Commun. Networks, 2021)

Verifiable privacy-preserving association rule mining using distributed decryption mechanism on the cloud. - Yange Chen; Qingqing Zhao; Pu Duan; Benyu Zhang; Zhiyong Hong; Baocang Wang (Expert Syst. Appl., 2022)

Privacy-preserving convolutional neural network prediction with low latency and lightweight users. - Furong Li; Yange Chen; Pu Duan; Benyu Zhang; Zhiyong Hong; Yupu Hu; Baocang Wang (Int. J. Intell. Syst., 2022)

Cryptanalysis and Improvement of DeepPAR: Privacy-Preserving and Asynchronous Deep Learning for Industrial IoT. - Yange Chen; SuYu He; Baocang Wang; Pu Duan; Benyu Zhang; Zhiyong Hong; Yuan Ping (IEEE Internet Things J., 2022)

Toward practical privacy-preserving linear regression. - Wenju Xu; Baocang Wang; Jiasen Liu; Yange Chen; Pu Duan; Zhiyong Hong (Inf. Sci., 2022)

PDLHR: Privacy-Preserving Deep Learning Model With Homomorphic Re-Encryption in Robot System. - Yange Chen; Baocang Wang; Zhili Zhang (IEEE Syst. J., 2022)

Privacy-Preserving Classification Scheme Based on Support Vector Machine. - Qinyu Mao; Yange Chen; Pu Duan; Benyu Zhang; Zhiyong Hong; Baocang Wang (IEEE Syst. J., 2022)

Privacy-Preserving Multi-Class Support Vector Machine Model on Medical Diagnosis. - Yange Chen; Qinyu Mao; Baocang Wang; Pu Duan; Benyu Zhang; Zhiyong Hong (IEEE J. Biomed. Health Informatics, 2022)

PLDP-FL: Federated Learning with Personalized Local Differential Privacy. - Xiaoying Shen; Hang Jiang; Yange Chen; Baocang Wang; Le Gao (Entropy, 2023)

PPeFL: Privacy-Preserving Edge Federated Learning With Local Differential Privacy. - Baocang Wang; Yange Chen; Hang Jiang; Zhen Zhao 005 (IEEE Internet Things J., 2023)

Privacy-preserving multi-party deep learning based on homomorphic proxy re-encryption. - Xiaoying Shen; Xue Luo; Feng Yuan; Baocang Wang; Yange Chen; Dianhua Tang; Le Gao (J. Syst. Archit., 2023)

PEPFL: A framework for a practical and efficient privacy-preserving federated learning. - Yange Chen; Baocang Wang; Hang Jiang; Pu Duan; Yuan Ping; Zhiyong Hong (Digit. Commun. Networks, 2024)

Privacy-Preserving Convolutional Neural Network Classification Scheme With Multiple Keys. - Baocang Wang; Yange Chen; Furong Li; Jian Song; Rongxing Lu; Pu Duan; Zhihong Tian (IEEE Trans. Serv. Comput., 2024)

Verifiable Privacy-Preserving Federated Learning Under Multiple Encrypted Keys. - Xiaoying Shen; Xue Luo; Feng Yuan; Baocang Wang; Yange Chen; Dianhua Tang; Le Gao (IEEE Internet Things J., 2024)

Privacy-preserving data integration scheme in industrial robot system based on fog computing and edge computing. - Song Han; Hui Ma; Amir Taherkordi; Dapeng Lan; Yange Chen (IET Commun., 2024)

A Privacy-Preserving Federated Learning Framework With Lightweight and Fair in IoT. - Yange Chen; Lei Liu 031; Yuan Ping; Mohammed Atiquzzaman; Shahid Mumtaz; Zhili Zhang; Mohsen Guizani; Zhihong Tian (IEEE Trans. Netw. Serv. Manag., 2024)

A Verifiable Privacy-Preserving Federated Learning Framework Against Collusion Attacks. - Yange Chen; SuYu He; Baocang Wang; Zhanshen Feng; Guanghui Zhu; Zhihong Tian (IEEE Trans. Mob. Comput., 2025)