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cs.CL2022★ 1 cited
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
Yufan Zhuang, Zihan Wang, Fangbo Tao +1
Transformer and its variants are fundamental neural architectures in deep learning. Recent works show that learning attention in the Fourier space can improve the long sequence lea…
cs.IT2022
The Generalized Degrees-of-Freedom of the Asymmetric Interference Channel with Delayed CSIT
Tong Zhang, Yufan Zhuang, Yinfei Xu
In this paper, we investigate the generalized degrees-of-freedom (GDoF) of the asymmetric interference channel with delayed channel state information at the transmitter (CSIT), whe…