Gang-Xuan Lin

According to our database, Gang-Xuan Lin authored at least 16 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Extremely Lightweight Neural Network for Large-Scale Image Compressive Sensing.

Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu

Proceedings of the 31st European Signal Processing Conference, 2023

2022

QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving ℓ _q-Norm Optimization Problem.

Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu

Proceedings of the Computer Vision - ECCV 2022, 2022

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-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization.

Gang-Xuan Lin, Shih-Wei Hu, Yen-Ju Lu, Yu Tsao, Chun-Shien Lu

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

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: DNN Architecture to Solve $\ell_{Q}$-Norm Minimization Problem.

Gang-Xuan Lin, Chun-Shien Lu

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

GPX-ADMM-Net: ADMM-based Neural Network with Generalized Proximal Operator.

Shih-Wei Hu, Gang-Xuan Lin, Chun-Shien Lu

Proceedings of the 28th European Signal Processing Conference, 2020

2018

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

2017

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

2016

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

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

A Necessary and Sufficient Condition for Generalized Demixing.

Chun-Yen Kuo, Gang-Xuan Lin, Chun-Shien Lu

IEEE Signal Process. Lett., 2015

Compressive Sensing of Large-Scale Images: An Assumption-Free Approach.

Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu

CoRR, 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

Phase transition of joint-sparse recovery from multiple measurements via convex optimization.

Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh, Chun-Shien Lu

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Compressive large-scale image sensing.

Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2012

Duality and solutions for quadratic programming over single non-homogeneous quadratic constraint.

Joe-Mei Feng, Gang-Xuan Lin, Ruey-Lin Sheu, Yong Xia

J. Glob. Optim., 2012