Xiao Bai

Learning Transferable Negative Prompts for Out-of-Distribution Detection

2024

Existing prompt learning methods have shown certain capabilities in Out-of-Distribution (OOD) detection, but the lack of OOD images in the target dataset in their training can lead to mismatches between OOD images and In-Distribution (ID) …

Asynchronous Federated Learning With Local Differential Privacy for Privacy-Enhanced Recommender Systems

2025 · IEEE Internet of Things Journal

Recommender systems provide an effective solution to information overload. With the rapid advancement of deep learning, these systems can efficiently manage large training datasets and incorporate diverse supplementary data, thereby alleviating issues related to data …