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On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework


Jun 05, 2021
Zeyu Yan, Fei Wen, Rendong Ying, Chao Ma, Peilin Liu

* ICML 2021 

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Scalable Deep Compressive Sensing


Jan 22, 2021
Zhonghao Zhang, Yipeng Liu, Xingyu Cao, Fei Wen, Ce Zhu


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Simultaneous Consensus Maximization and Model Fitting


Aug 04, 2020
Fei Wen, Hewen Wei, Yipeng Liu, Peilin Liu

* 16 pages, 10 figures 

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Hyperspectral Image Denoising with Partially Orthogonal Matrix Vector Tensor Factorization


Jun 29, 2020
Zhen Long, Yipeng Liu, Sixing Zeng, Jiani Liu, Fei Wen, Ce Zhu


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


Apr 21, 2020
Zhonghao Zhang, Yipeng Liu, Jiani Liu, Fei Wen, Ce Zhu


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


Mar 02, 2019
Fei Wen, Rendong Ying, Peilin Liu, Trieu-Kien Truong

* 14 pages, 7 figures 

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


Aug 17, 2018
Fei Wen, Danping Zou, Rendong Ying, Peilin Liu

* 6 pages 

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


Aug 16, 2018
Fei Wen, Lei Chu, Peilin Liu, Robert C. Qiu

* 21 pages 

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Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties


Jul 28, 2016
Fei Wen, Yuan Yang, Peilin Liu, Robert C. Qiu

* 15 pages, 8 figures 

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