Gang-Xuan Lin

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 16

Top Topics

Convex Optimization

Low Rank Matrix

Prior Information

Compressive Sensing

Top Venues

Publications

Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
Extremely Lightweight Neural Network for Large-Scale Image Compressive Sensing. EUSIPCO (2023)
Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
-Norm Optimization Problem. ECCV (23) (2022)
Gang-Xuan Lin, Shih-Wei Hu, Yen-Ju Lu, Yu Tsao, Chun-Shien Lu
QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization. Interspeech (2021)
Shih-Wei Hu, Gang-Xuan Lin, Chun-Shien Lu
GPX-ADMM-Net: Interpretable Deep Neural Network for Image Compressive Sensing. IEEE Access 9 (2021)
Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
QISTA-Net: DNN Architecture to Solve $\ell_q$-norm Minimization Problem and Image Compressed Sensing. CoRR (2020)
Shih-Wei Hu, Gang-Xuan Lin, Chun-Shien Lu
GPX-ADMM-Net: ADMM-based Neural Network with Generalized Proximal Operator. EUSIPCO (2020)
Gang-Xuan Lin, Chun-Shien Lu
QISTA-Net: DNN Architecture to Solve $\ell_{Q}$-Norm Minimization Problem. MLSP (2020)
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Chun-Shien Lu
Performance Analysis of Joint-Sparse Recovery from Multiple Measurement Vectors via Convex Optimization: Which Prior Information is Better? IEEE Access 6 (2018)
Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu
Tree Structure Sparsity Pattern Guided Convex Optimization for Compressive Sensing of Large-Scale Images. IEEE Trans. Image Process. 26 (2) (2017)
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Wei-Jie Liang, Chun-Shien Lu
Performance analysis of joint-sparse recovery from multiple measurement vectors with prior information via convex optimization. ICASSP (2016)
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Chun-Shien Lu
Phase transition of joint-sparse recovery from multiple measurements via convex optimization. ICASSP (2015)
Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu
Compressive Sensing of Large-Scale Images: An Assumption-Free Approach. CoRR (2015)
Chun-Yen Kuo, Gang-Xuan Lin, Chun-Shien Lu
The Necessary And Sufficient Condition for Generalized Demixing. CoRR (2015)
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Wei-Jie Liang, Chun-Shien Lu
Performance Analysis of Joint-Sparse Recovery from Multiple Measurements and Prior Information via Convex Optimization. CoRR (2015)
Chun-Yen Kuo, Gang-Xuan Lin, Chun-Shien Lu
A Necessary and Sufficient Condition for Generalized Demixing. IEEE Signal Process. Lett. 22 (11) (2015)
Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu
Compressive large-scale image sensing. GlobalSIP (2015)
Joe-Mei Feng, Gang-Xuan Lin, Ruey-Lin Sheu, Yong Xia
Duality and solutions for quadratic programming over single non-homogeneous quadratic constraint. J. Glob. Optim. 54 (2) (2012)