Charles Ling

FUSE: Full‑spectrum Unlearnable Examples via Spectral Equalization

SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation

When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining

Hierarchical Routers for Efficient Top-k Retrieval in Sparse Attention

Histogram-Guided Source-Free Domain Adaptive Regression

Enhancing Deep Imbalanced Regression via Frobenius Norm Regularization

Versatile Transferable Unlearnable Example Generator

Event-Driven Online Vertical Federated Learning

ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention

Homophily Enhanced Graph Domain Adaptation

FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning

Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control

On the Benefits of Attribute-Driven Graph Domain Adaptation

FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning