Huang, Zi

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

Multiple feature hashing for real-time large scale near-duplicate video retrieval

Song, J., Yang, Y., Huang, Z., Shen, H. T., & Hong, R. (2011) · Proceedings of the 19th ACM international conference on Multimedia

Advanced Image and Video Retrieval TechniquesVideo Analysis and Summarization

Cited by 334

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

Multi-attention Network for One Shot Learning

Wang, P., Liu, L., Shen, C., Huang, Z., Van Den Hengel, A., & Shen, H. T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 91

Machine Unlearning for Image Retrieval: A Generative Scrubbing Approach

Zhang, P.-F., Bai, G., Huang, Z., & Xu, X.-S. (2022) · Proceedings of the 30th ACM International Conference on Multimedia

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 18