Xing Liu

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University of Cambridge

TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models

The memory capacity of embedding tables in deep learning recommendation ...
01/25/2021 ∙ by Chunxing Yin, et al. ∙ 1 ∙ share

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Pushing the Envelope of Thin Crack Detection

In this study, we consider the problem of detecting cracks from the imag...
01/09/2021 ∙ by Liang Xu, et al. ∙ 8 ∙ share

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Higher order approximation for stochastic wave equation

The infinitesimal generator (fractional Laplacian) of a process obtained...
07/06/2020 ∙ by Xing Liu, et al. ∙ 0 ∙ share

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Bayesian Probabilistic Numerical Integration with Tree-Based Models

Bayesian quadrature (BQ) is a method for solving numerical integration p...
06/09/2020 ∙ by Harrison Zhu, et al. ∙ 1 ∙ share

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UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking

To promote the development of underwater robot picking in sea farms, we ...
03/03/2020 ∙ by Zhihui Wang, et al. ∙ 4 ∙ share

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2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm

In this paper, two novel methods: 2DR1-PCA and 2DL1-PCA are proposed for...
12/23/2019 ∙ by Xing Liu, et al. ∙ 0 ∙ share

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A Compared Study Between Some Subspace Based Algorithms

The technology of face recognition has made some progress in recent year...
12/23/2019 ∙ by Xing Liu, et al. ∙ 0 ∙ share

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Numerical approximation for fractional diffusion equation forced by a tempered fractional Gaussian noise

This paper discusses the fractional diffusion equation forced by a tempe...
12/15/2019 ∙ by Xing Liu, et al. ∙ 0 ∙ share

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Joint Learning of Multiple Image Restoration Tasks

Convolutional neural networks have recently been successfully applied to...
07/10/2019 ∙ by Xing Liu, et al. ∙ 4 ∙ share

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Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences

Owing to the advancement of deep learning, artificial systems are now ri...
05/30/2019 ∙ by Xing Liu, et al. ∙ 0 ∙ share

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Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

In this paper, we study design of deep neural networks for tasks of imag...
03/21/2019 ∙ by Xing Liu, et al. ∙ 2 ∙ share

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Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions

Many studies have been conducted so far on image restoration, the proble...
12/03/2018 ∙ by Masanori Suganuma, et al. ∙ 0 ∙ share

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Data Augmentation for Robust Keyword Spotting under Playback Interference

Accurate on-device keyword spotting (KWS) with low false accept and fals...
08/01/2018 ∙ by Anirudh Raju, et al. ∙ 0 ∙ share

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Xing Liu

Featured Co-authors

Xiao-Jun Wu

Takayuki Okatani

Seth Flaxman

Zhen Liu

Xin Fan

Carole-Jean Wu

Liang Xu

Tao Tang

Francois-Xavier Briol

Zhihui Wang

Haojie Li

TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models

Pushing the Envelope of Thin Crack Detection

Higher order approximation for stochastic wave equation

Bayesian Probabilistic Numerical Integration with Tree-Based Models

UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking

2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm

A Compared Study Between Some Subspace Based Algorithms

Numerical approximation for fractional diffusion equation forced by a tempered fractional Gaussian noise

Joint Learning of Multiple Image Restoration Tasks

Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions

Data Augmentation for Robust Keyword Spotting under Playback Interference