Shuang Xu

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Xi'an Jiaotong University ∙ NetEase, Inc

A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition

End-to-end models are gaining wider attention in the field of automatic ...
05/20/2020 ∙ by Linhao Dong, et al. ∙ 0 ∙ share

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Deep Convolutional Sparse Coding Networks for Image Fusion

Image fusion is a significant problem in many fields including digital p...
05/18/2020 ∙ by Shuang Xu, et al. ∙ 16 ∙ share

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Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling

Infrared and visible image fusion expects to obtain images that highligh...
05/12/2020 ∙ by Zixiang Zhao, et al. ∙ 0 ∙ share

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Bayesian Fusion for Infrared and Visible Images

Infrared and visible image fusion has been a hot issue in image fusion. ...
05/12/2020 ∙ by Zixiang Zhao, et al. ∙ 0 ∙ share

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MFFW: A new dataset for multi-focus image fusion

Multi-focus image fusion (MFF) is a fundamental task in the field of com...
02/12/2020 ∙ by Shuang Xu, et al. ∙ 0 ∙ share

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BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems

The spatiotemporal information plays crucial roles in a multi-agent syst...
11/27/2019 ∙ by Qin Shi, et al. ∙ 0 ∙ share

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Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition

Sparse representation based classification (SRC) methods have achieved r...
02/09/2019 ∙ by Xiao-Hui Yang, et al. ∙ 0 ∙ share

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Adaptive Quantile Low-Rank Matrix Factorization

Low-rank matrix factorization (LRMF) has received much popularity owing ...
01/01/2019 ∙ by Shuang Xu, et al. ∙ 30 ∙ share

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Variational Bayesian Complex Network Reconstruction

Complex network reconstruction is a hot topic in many fields. A popular ...
12/11/2018 ∙ by Shuang Xu, et al. ∙ 0 ∙ share

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Single-channel Speech Dereverberation via Generative Adversarial Training

In this paper, we propose a single-channel speech dereverberation system...
06/25/2018 ∙ by Chenxing Li, et al. ∙ 0 ∙ share

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Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languages

Sequence-to-sequence attention-based models integrate an acoustic, pronu...
06/12/2018 ∙ by Shiyu Zhou, et al. ∙ 0 ∙ share

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A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese

The choice of modeling units is critical to automatic speech recognition...
05/16/2018 ∙ by Shiyu Zhou, et al. ∙ 0 ∙ share

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Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese

Sequence-to-sequence attention-based models have recently shown very pro...
04/28/2018 ∙ by Shiyu Zhou, et al. ∙ 0 ∙ share

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Shuang Xu

Featured Co-authors

Bo Xu

Pei Wang

Shiyu Zhou

Jiangshe Zhang

Linhao Dong

Yicheng Wang

Chunxia Zhang

Junmin Liu

Jianzong Wang

Qin Shi

Xiaowei Cui

A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition

Deep Convolutional Sparse Coding Networks for Image Fusion

Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling

Bayesian Fusion for Infrared and Visible Images

MFFW: A new dataset for multi-focus image fusion

BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems

Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition

Adaptive Quantile Low-Rank Matrix Factorization

Variational Bayesian Complex Network Reconstruction

Single-channel Speech Dereverberation via Generative Adversarial Training

Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languages

A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese

Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese