Fei Wen

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Shanghai Jiao Tong University

Scalable Deep Compressive Sensing

Deep learning has been used to image compressive sensing (CS) for enhanc...
01/20/2021 ∙ by Zhonghao Zhang, et al. ∙ 0 ∙ share

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FPGA-based Hyrbid Memory Emulation System

Hybrid memory systems, comprised of emerging non-volatile memory (NVM) a...
11/09/2020 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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Simultaneous Consensus Maximization and Model Fitting

Maximum consensus (MC) robust fitting is a fundamental problem in low-le...
08/04/2020 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

Most compressive sensing (CS) reconstruction methods can be divided into...
04/21/2020 ∙ by Zhonghao Zhang, et al. ∙ 0 ∙ share

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Hardware Memory Management for Future Mobile Hybrid Memory Systems

The current mobile applications have rapidly growing memory footprints, ...
04/12/2020 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization

Blind image deblurring is a long standing challenging problem in image p...
06/16/2019 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties

Recently, multi-user multiple input multiple output (MU-MIMO) systems wi...
05/14/2019 ∙ by Lei Chu, et al. ∙ 0 ∙ share

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Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm

Matrix completion has attracted much interest in the past decade in mach...
03/02/2019 ∙ by Fei Wen, et al. ∙ 26 ∙ share

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Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

In the past decade, sparse and low-rank recovery have drawn much attenti...
08/16/2018 ∙ by Fei Wen, et al. ∙ 10 ∙ share

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Efficient Outlier Removal for Large Scale Global Structure-from-Motion

This work addresses the outlier removal problem in large-scale global st...
08/09/2018 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G

Accurate indoor localization has long been a challenging problem due to ...
04/02/2018 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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Joint DOA and Delay Estimation for 3D Indoor Localization in Next Generation WiFi and 5G

This paper address the joint direction-of-arrival (DOA) and time delay (...
04/02/2018 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties

This work addresses the issue of large covariance matrix estimation in h...
04/15/2016 ∙ by Fei Wen, et al. ∙ 0 ∙ share

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Fei Wen

Featured Co-authors

Yi Zhang

Ce Zhu

Yipeng Liu

Robert C. Qiu

Lei Chu

Peilin Liu

Yuan Yang

Danping Zou

Robert Caiming Qiu

Rendong Ying

Trieu-Kien Truong

Scalable Deep Compressive Sensing

FPGA-based Hyrbid Memory Emulation System

Simultaneous Consensus Maximization and Model Fitting

AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

Hardware Memory Management for Future Mobile Hybrid Memory Systems

Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization

Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties

Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm

Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

Efficient Outlier Removal for Large Scale Global Structure-from-Motion

Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G

Joint DOA and Delay Estimation for 3D Indoor Localization in Next Generation WiFi and 5G

Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties