Runpeng Yu

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 …

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Graph Neural Networks (GNNs) have become the preferred tool to process graph data, with their efficacy being boosted through graph data augmentation techniques. Despite the evolution of augmentation methods, issues like graph property distortions and …

Discrete Diffusion in Large Language and Multimodal Models: A Survey

2025 · arXiv (Cornell University)

In this work, we provide a systematic survey of Discrete Diffusion Language Models (dLLMs) and Discrete Diffusion Multimodal Language Models (dMLLMs). Unlike autoregressive (AR) models, dLLMs and dMLLMs adopt a multi-token, parallel decoding paradigm using …