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Shih-Wei Hu
Shih-Wei Hu
在 mediatek.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Constant sum flows in regular graphs
TM Wang, SW Hu
Frontiers in Algorithmics and Algorithmic Aspects in Information and …, 2011
162011
Zero-sum flow numbers of regular graphs
TM Wang, SW Hu
Frontiers in Algorithmics and Algorithmic Aspects in Information and …, 2012
132012
Performance analysis of joint-sparse recovery from multiple measurement vectors via convex optimization: Which prior information is better?
SW Hu, GX Lin, SH Hsieh, CS Lu
IEEE Access 6, 3739-3754, 2018
92018
Phase transition of joint-sparse recovery from multiple measurements via convex optimization
SW Hu, GX Lin, SH Hsieh, CS Lu
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
82015
Zero-sum flow numbers of triangular grids
TM Wang, SW Hu, GH Zhang
Frontiers in Algorithmics: 8th International Workshop, FAW 2014, Zhangjiajie …, 2014
72014
Gpx-admm-net: interpretable deep neural network for image compressive sensing
SW Hu, GX Lin, CS Lu
IEEE Access 9, 158695-158709, 2021
62021
GPX-ADMM-Net: ADMM-based neural network with generalized proximal operator
SW Hu, GX Lin, CS Lu
2020 28th European Signal Processing Conference (EUSIPCO), 2055-2059, 2021
52021
Performance analysis of joint-sparse recovery from multiple measurement vectors with prior information via convex optimization
SW Hu, GX Lin, SH Hsieh, WJ Liang, CS Lu
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
42016
QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving -Norm Optimization Problem
GX Lin, SW Hu, CS Lu
European Conference on Computer Vision, 406-422, 2022
32022
Qista-net-audio: Audio super-resolution via non-convex lq-norm minimization
GX Lin, SW Hu, YJ Lu, Y Tsao, CS Lu
Interspeech, 1639-1643, 2021
22021
QISTA-Net: DNN Architecture to Solve -norm Minimization Problem and Image Compressed Sensing
GX Lin, SW Hu, CS Lu
arXiv preprint arXiv:2010.11363, 2020
12020
Performance Analysis of Joint-Sparse Recovery from Multiple Measurements and Prior Information via Convex Optimization
SW Hu, GX Lin, SH Hsieh, WJ Liang, CS Lu
arXiv preprint arXiv:1509.06655, 2015
12015
Extremely Lightweight Neural Network for Large-Scale Image Compressive Sensing
GX Lin, SW Hu, CS Lu
2023 31st European Signal Processing Conference (EUSIPCO), 1913-1917, 2023
2023
壓縮感知的 ℓ2, 1 範數最佳化分析和展開式深度神經網路
SW Hu
國立臺灣大學資訊工程學系學位論文 2021, 1-159, 2021
2021
Compressed Sensing of Image Sequence Reconstruction via Multiple Total Variation
SW Hu, GX Lin, SH Hsieh, WJ Liang, CS Lu
The Signal Processing with Adaptive Sparse Structured Representations (SPARS …, 2019
2019
An iterative Convex Optimization Solver with Side Information for Joint-Sparse Signal Recovery
SW Hu, SH Hsieh, GX Lin, CS Lu
The Signal Processing with Adaptive Sparse Structured Representations (SPARS …, 2017
2017
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