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pro vyhledávání: '"Guo, Haiyan"'
The emergence of self-supervised representation (i.e., wav2vec 2.0) allows speaker-recognition approaches to process spoken signals through foundation models built on speech data. Nevertheless, effective fusion on the representation requires further
Externí odkaz:
http://arxiv.org/abs/2308.04666
Autor:
Guo, Haiyan, Zhou, Bo
The distance spectrum of a connected graph is the spectrum of its distance matrix. We characterize those bicyclic graphs and split graphs with the second largest distance eigenvalue less than $-\frac{1}{2}$. Any such graph is chordal.
Externí odkaz:
http://arxiv.org/abs/2307.00917
For real $\alpha\in [0,1)$ and a hypergraph $G$, the $\alpha$-spectral radius of $G$ is the largest eigenvalue of the matrix $A_{\alpha}(G)=\alpha D(G)+(1-\alpha)A(G)$, where $A(G)$ is the adjacency matrix of $G$, which is a symmetric matrix with zer
Externí odkaz:
http://arxiv.org/abs/2303.16631
Pre-trained wav2vec2.0 model has been proved its effectiveness for speaker recognition. However, current feature processing methods are focusing on classical pooling on the output features of the pre-trained wav2vec2.0 model, such as mean pooling, ma
Externí odkaz:
http://arxiv.org/abs/2303.10556
The physical layer security (PLS) is investigated for reconfigurable intelligent surface (RIS) assisted wireless networks, where a source transmits its confidential information to a legitimate destination with the aid of a single small RIS in the pre
Externí odkaz:
http://arxiv.org/abs/2210.01966
Graph filters are crucial tools in processing the spectrum of graph signals. In this paper, we propose to design universal IIR graph filters with low computational complexity by using three kinds of functions, which are Butterworth, Chebyshev, and El
Externí odkaz:
http://arxiv.org/abs/2203.14748
Graph signal processing (GSP) is an effective tool in dealing with data residing in irregular domains. In GSP, the optimal graph filter is one of the essential techniques, owing to its ability to recover the original signal from the distorted and noi
Externí odkaz:
http://arxiv.org/abs/2201.04335
Autor:
Ran, Fanlei, Wang, Yaguo, Zhang, Guoqin, Guo, Haiyan, Li, Jinlong, Zhang, Xilin, Wu, Zhilong, Bi, Lijun
Publikováno v:
In Microbial Pathogenesis July 2024 192
Publikováno v:
In Ceramics International 15 June 2024 50(12):21859-21868
Autor:
Guo, Haiyan, Zhou, Bo
Publikováno v:
In Discrete Mathematics September 2024 347(9)