Study on the Recommendation Trust Model Based on Encouragement and Punishment. - Hongyun Cai 002; Zhen Li; Junfeng Tian (ICEE, 2010)

A New Trust Evaluation Model Based on Cloud Theory in E-Commerce Environment. - Hongyun Cai 002; Zhen Li; Junfeng Tian (IPTC, 2011)

Double Regularization Matrix Factorization Recommendation Algorithm. - Ruizhong Du; Jiaojiao Lu; Hongyun Cai 002 (IEEE Access, 2019)

An Unsupervised Method for Detecting Shilling Attacks in Recommender Systems by Mining Item Relationship and Identifying Target Items. - Hongyun Cai 002; Fuzhi Zhang (Comput. J., 2019)

Detecting shilling attacks in recommender systems based on analysis of user rating behavior. - Hongyun Cai 002; Fuzhi Zhang (Knowl. Based Syst., 2019)

An Algorithm Based on Influence to Predict Invisible Relationship. - Junfeng Tian; Lizheng Xue; Hongyun Cai 002 (Wirel. Commun. Mob. Comput., 2020)

An Unsupervised Approach for Detecting Group Shilling Attacks in Recommender Systems Based on Topological Potential and Group Behaviour Features. - Hongyun Cai 002; Fuzhi Zhang (Secur. Commun. Networks, 2021)

BS-SC: An Unsupervised Approach for Detecting Shilling Profiles in Collaborative Recommender Systems. - Hongyun Cai 002; Fuzhi Zhang (IEEE Trans. Knowl. Data Eng., 2021)

Friendship links-based privacy-preserving algorithm against inference attacks. - Jiawei Shen; Junfeng Tian; Ziyuan Wang; Hongyun Cai 002 (J. King Saud Univ. Comput. Inf. Sci., 2022)

A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems. - Hongyun Cai 002; Shiyun Wang; Yu Zhang 170; Meiling Zhang; Ao Zhao (ADMA (4), 2023)

Personalized Privacy Risk Assessment Based on Deep Neural Network for Image Sharing on Social Networks. - Hongyun Cai 002; Ao Zhao; Shiyun Wang; Meiling Zhang; Yu Zhang 170 (ICA3PP (2), 2023)

LightPoW: A trust based time-constrained PoW for blockchain in internet of things. - Liuling Qi; Junfeng Tian; Mengjia Chai; Hongyun Cai 002 (Comput. Networks, 2023)

A Cooperative PoW and Incentive Mechanism for Blockchain in Edge Computing. - Liuling Qi; Junfeng Tian; Mengjia Chai; Hongyun Cai 002 (IEEE Internet Things J., 2023)

PLFa-FL: Personalized Local Differential Privacy for Fair Federated Learning. - Hongyun Cai 002; Meiling Zhang; Shiyun Wang; Ao Zhao; Yu Zhang 170 (CSCWD, 2024)

Information Diffusion Prediction Based on User Behavior Characteristics. - Hongyun Cai 002; Ao Zhao; Chuan Feng; Xun Li (ICWS, 2024)

MMCasN: Macroscopic and microscopic properties fusion for predicting information cascades. - Hongyun Cai 002; Chuan Feng; Ao Zhao; Xun Li (IJCNN, 2024)

FedRecTID: A General Robust Federated Recommendation Framework Based on Target Items Detection. - Hongyun Cai 002; Fengyu Li; Chuan Feng (IJCNN, 2024)

Reliable incentive mechanism in hierarchical federated learning based on two-way reputation and contract theory. - Hongyun Cai 002; Lijing Gao; Jiahao Wang; Fengyu Li (Future Gener. Comput. Syst., 2024)

FLMAAcBD: Defending against backdoors in Federated Learning via Model Anomalous Activation Behavior Detection. - Hongyun Cai 002; Jiahao Wang; Lijing Gao; Fengyu Li (Knowl. Based Syst., 2024)

STFM: a blockchain sharding algorithm based on trust field model for heterogeneous Internet of Things. - Liuling Qi; Junfeng Tian; Mengjia Chai; Hongyun Cai 002 (J. Supercomput., 2024)

A High-Dimensional Gradient Inversion Attack Based on Feature Distillation in Federated Learning. - Hongyun Cai 002; Mingliang Ma; Zhiqiang Wang; Jiaxin Li; Yuhang Yang (ICIC (18), 2025)

MvSMIA: Multi-view Source Membership Inference Attack in Federated Learning. - Jiaxin Li; Hongyun Cai 002; Yuhang Yang (ICIC (4), 2025)

Dual stream fusion link prediction for sparse graph based on variational graph autoencoder and pairwise learning. - Xun Li; Hongyun Cai 002; Chuan Feng; Ao Zhao (Inf. Process. Manag., 2025)