Yin, Hongzhi

Self-supervised learning for recommender systems: A survey

Yu, J., Yin, H., Xia, X., Chen, T., Li, J., & Huang, Z. (2024) · IEEE Transactions on Knowledge and Data Engineering

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 413

A Survey of Machine Unlearning

Nguyen, T. T., Huynh, T. T., Ren, Z., Nguyen, P. L., Liew, A. W.-C., Yin, H., & Nguyen, Q. V. H. (2022) · arXiv

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 193

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection

Zhang, S., Yin, H., Chen, T., Hung, Q. V. N., Huang, Z., & Cui, L. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesSpam and Phishing Detection

Cited by 175

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion

Zhang, S., Yin, H., Chen, T., Huang, Z., Nguyen, Q. V. H., & Cui, L. (2022) · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 98

Disease Prediction via Graph Neural Networks

Sun, Z., Yin, H., Chen, H., Chen, T., Cui, L., & Yang, F. (2021) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 98

Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks

Zhang, S., Yuan, W., & Yin, H. (2024) · IEEE Transactions on Knowledge and Data Engineering

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 97

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures

Yuan, W., Nguyen, Q. V. H., He, T., Chen, L., & Yin, H. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 50

KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment

Wang, L., Chen, T., Yuan, W., Zeng, X., Wong, K.-F., & Yin, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 25