Yong Xu
Nanjing Forestry University
1679 Papers
7.1K Citations
Yong Xu is an academic researcher from Nanjing Forestry University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 88, co-authored 1391 publications. Previous affiliations of Yong Xu include Peking University & Northwestern Polytechnical University.
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Papers
A regression approach to speech enhancement based on deep neural networks
TL;DR: The proposed DNN approach can well suppress highly nonstationary noise, which is tough to handle in general, and is effective in dealing with noisy speech data recorded in real-world scenarios without the generation of the annoying musical artifact commonly observed in conventional enhancement methods.
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Large-Gap Quantum Spin Hall Insulators in Tin Films
Yong Xu,Yong Xu,Binghai Yan,Haijun Zhang,Jing Wang,Gang Xu,Peizhe Tang,Wenhui Duan,Shou-Cheng Zhang,Shou-Cheng Zhang +9 more
TL;DR: In this paper, it was shown that two-dimensional tin films are QSH insulators with sizable bulk gaps of 0.3 eV, sufficiently large for practical applications at room temperature.
1.3K
Epitaxial Growth of Two-Dimensional Stanene
Fengfeng Zhu,Wei-jiong Chen,Yong Xu,Chunlei Gao,Dandan Guan,Canhua Liu,Dong Qian,Shou-Cheng Zhang,Shou-Cheng Zhang,Jin-Feng Jia +9 more
TL;DR: The synthesis of stanene and its derivatives will stimulate further experimental investigation of their theoretically predicted properties, such as a 2D topological insulating behaviour with a very large bandgap, and the capability to support enhanced thermoelectric performance, topological superconductivity and the near-room-temperature quantum anomalous Hall effect.
1.3K
Epitaxial growth of two-dimensional stanene
Fengfeng Zhu,Wei-jiong Chen,Yong Xu,Chunlei Gao,Dandan Guan,Canhua Liu,Dong Qian,Shou-Cheng Zhang,Shou-Cheng Zhang,Jin-Feng Jia +9 more
TL;DR: In this paper, the authors reported the successful fabrication of 2D stanene by molecular beam epitaxy, confirmed by atomic and electronic characterization using scanning tunnelling microscopy and angle-resolved photoemission spectroscopy, in combination with first-principles calculations.
1.1K
An Experimental Study on Speech Enhancement Based on Deep Neural Networks
TL;DR: This letter presents a regression-based speech enhancement framework using deep neural networks (DNNs) with a multiple-layer deep architecture that tends to achieve significant improvements in terms of various objective quality measures.
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