Duality and solutions for quadratic programming over single non-homogeneous quadratic constraint. - Joe-Mei Feng; Gang-Xuan Lin; Ruey-Lin Sheu; Yong Xia 002 (J. Glob. Optim., 2012)

Compressive large-scale image sensing. - Wei-Jie Liang; Gang-Xuan Lin; Chun-Shien Lu (GlobalSIP, 2015)

Phase transition of joint-sparse recovery from multiple measurements via convex optimization. - Shih-Wei Hu; Gang-Xuan Lin; Sung-Hsien Hsieh; Chun-Shien Lu (ICASSP, 2015)

Performance Analysis of Joint-Sparse Recovery from Multiple Measurements and Prior Information via Convex Optimization. - Shih-Wei Hu; Gang-Xuan Lin; Sung-Hsien Hsieh; Wei-Jie Liang; Chun-Shien Lu (CoRR, 2015)

Compressive Sensing of Large-Scale Images: An Assumption-Free Approach. - Wei-Jie Liang; Gang-Xuan Lin; Chun-Shien Lu (CoRR, 2015)

A Necessary and Sufficient Condition for Generalized Demixing. - Chun-Yen Kuo; Gang-Xuan Lin; Chun-Shien Lu (IEEE Signal Process. Lett., 2015)

Performance analysis of joint-sparse recovery from multiple measurement vectors with prior information via convex optimization. - Shih-Wei Hu; Gang-Xuan Lin; Sung-Hsien Hsieh; Wei-Jie Liang; Chun-Shien Lu (ICASSP, 2016)

Tree Structure Sparsity Pattern Guided Convex Optimization for Compressive Sensing of Large-Scale Images. - Wei-Jie Liang; Gang-Xuan Lin; Chun-Shien Lu (IEEE Trans. Image Process., 2017)

Performance Analysis of Joint-Sparse Recovery from Multiple Measurement Vectors via Convex Optimization: Which Prior Information is Better? - Shih-Wei Hu; Gang-Xuan Lin; Sung-Hsien Hsieh; Chun-Shien Lu (IEEE Access, 2018)

GPX-ADMM-Net: ADMM-based Neural Network with Generalized Proximal Operator. - Shih-Wei Hu; Gang-Xuan Lin; Chun-Shien Lu (EUSIPCO, 2020)

QISTA-Net: DNN Architecture to Solve $ ell_{Q}$-Norm Minimization Problem. - Gang-Xuan Lin; Chun-Shien Lu (MLSP, 2020)

QISTA-Net: DNN Architecture to Solve $ ell_q$-norm Minimization Problem and Image Compressed Sensing. - Gang-Xuan Lin; Shih-Wei Hu; Chun-Shien Lu (CoRR, 2020)

QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization. - Gang-Xuan Lin; Shih-Wei Hu; Yen-Ju Lu; Yu Tsao 001; Chun-Shien Lu (Interspeech, 2021)

GPX-ADMM-Net: Interpretable Deep Neural Network for Image Compressive Sensing. - Shih-Wei Hu; Gang-Xuan Lin; Chun-Shien Lu (IEEE Access, 2021)

QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving ℓ q-Norm Optimization Problem. - Gang-Xuan Lin; Shih-Wei Hu; Chun-Shien Lu (ECCV (23), 2022)

Extremely Lightweight Neural Network for Large-Scale Image Compressive Sensing. - Gang-Xuan Lin; Shih-Wei Hu; Chun-Shien Lu (EUSIPCO, 2023)