Xing Tang

Robust Long-Tailed Learning via Label-Aware Bounded CVaR

2023 · arXiv (Cornell University)

Data in the real-world classification problems are always imbalanced or long-tailed, wherein the majority classes have the most of the samples that dominate the model training. In such setting, the naive model tends to have …

DHFM: Diversity Enhanced Hypergraph Factorization Machines for Feature Interaction Modeling

2025 · ACM Transactions on Knowledge Discovery from Data

Feature interaction modeling, which exploits interactive information between features, has been widely explored in various applications. Recently, many graph neural networks (GNNs) based models are proposed to model feature interactions by predicting the existence of …