16 citations · 21 across the 8 of their papers we have counts for
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cs.CV2024
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…
cs.LG2024
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…
eess.IV2024★ 2 cited
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…