Chen, Tong

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

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

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