16 citations · 22 across the 12 of their papers we have counts for
4 papers · 1 filter
Invariance Principle Meets Vicinal Risk Minimization
Yaoyao Zhu, Xiuding Cai, Yingkai Wang +3
Deep learning models excel in computer vision tasks but often fail to generalize to out-of-distribution (OOD) domains. Invariant Risk Minimization (IRM) aims to address OOD general…
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
Xiuding Cai, Xueyao Wang, Yaoyao Zhu +1
In recent years, Transformers have become the de-facto architecture for long-term time series forecasting (LTSF), yet they face challenges associated with the self-attention mechan…
MD-Dose: A diffusion model based on the Mamba for radiation dose prediction
Linjie Fu, Xia Li, Xiuding Cai +4
Radiation therapy is crucial in cancer treatment. Experienced experts typically iteratively generate high-quality dose distribution maps, forming the basis for excellent radiation…
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
Yaoyao Zhu, Xiuding Cai, Xueyao Wang +3
Data augmentation is a crucial regularization technique for deep neural networks, particularly in medical image classification. Mainstream data augmentation (DA) methods are usuall…