Hongzhi Yin

A new method tackles the challenges of labeling nodes in open-world settings.

A new method improves recommendations using adaptable embeddings and efficient resource management.

A new approach to enhance recommendations while keeping user data private.

Analyzing the risks and defenses against poisoning attacks in online recommendations.

A new approach improves fairness in identifying hate speech across diverse groups.

A new framework improves recommendations while protecting user privacy.

This study assesses lightweight embedding methods for effective recommender systems.

A new method enhances security in recommender systems through effective watermarking.

SCALL adjusts embedding sizes for improved recommendations using less memory.

A new system blends behavior and language data for better recommendations.

SparseRec streamlines recommendations for better performance on resource-limited devices.

A new framework improves time series forecasting while ensuring data privacy.

Learn how Causal Effect Estimation and Active Learning improve decision-making.

A fresh approach to identifying cancer genes through protein interaction analysis.