Gang-Xuan Lin

17 papers A 1Misc 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2023 — conf
Extremely Lightweight Neural Network for Large-Scale Image Compressive Sensing.
EUSIPCO
Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
2022 — conf
QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving ℓ
ECCV (23)
Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
2021 J jnl
GPX-ADMM-Net: Interpretable Deep Neural Network for Image Compressive Sensing.
IEEE Access
Shih-Wei Hu, Gang-Xuan Lin, Chun-Shien Lu
2021 A conf
QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization.
Interspeech
Gang-Xuan Lin, Shih-Wei Hu, Yen-Ju Lu, Yu Tsao, Chun-Shien Lu
2020 — conf
GPX-ADMM-Net: ADMM-based Neural Network with Generalized Proximal Operator.
EUSIPCO
Shih-Wei Hu, Gang-Xuan Lin, Chun-Shien Lu
2020 J jnl
QISTA-Net: DNN Architecture to Solve $\ell_q$-norm Minimization Problem and Image Compressed Sensing.
CoRR
Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
2020 — conf
QISTA-Net: DNN Architecture to Solve $\ell_{Q}$-Norm Minimization Problem.
MLSP
Gang-Xuan Lin, Chun-Shien Lu
2018 J jnl
Performance Analysis of Joint-Sparse Recovery from Multiple Measurement Vectors via Convex Optimization: Which Prior Information is Better?
IEEE Access
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Chun-Shien Lu
2017 J jnl
Tree Structure Sparsity Pattern Guided Convex Optimization for Compressive Sensing of Large-Scale Images.
IEEE Trans. Image Process.
Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu
2016 Misc conf
Performance analysis of joint-sparse recovery from multiple measurement vectors with prior information via convex optimization.
ICASSP
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Wei-Jie Liang, Chun-Shien Lu
2015 J jnl
A Necessary and Sufficient Condition for Generalized Demixing.
IEEE Signal Process. Lett.
Chun-Yen Kuo, Gang-Xuan Lin, Chun-Shien Lu
2015 J jnl
Compressive Sensing of Large-Scale Images: An Assumption-Free Approach.
CoRR
Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu
2015 — conf
Compressive large-scale image sensing.
GlobalSIP
Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu
2015 J jnl
Performance Analysis of Joint-Sparse Recovery from Multiple Measurements and Prior Information via Convex Optimization.
CoRR
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Wei-Jie Liang, Chun-Shien Lu
2015 Misc conf
Phase transition of joint-sparse recovery from multiple measurements via convex optimization.
ICASSP
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Chun-Shien Lu
2015 J jnl
The Necessary And Sufficient Condition for Generalized Demixing.
CoRR
Chun-Yen Kuo, Gang-Xuan Lin, Chun-Shien Lu
2012 J jnl
Duality and solutions for quadratic programming over single non-homogeneous quadratic constraint.
J. Glob. Optim.
Joe-Mei Feng, Gang-Xuan Lin, Ruey-Lin Sheu, Yong Xia