Jinming Wen

Deep Learning-Based Compressed Sensing: Methodologies, Theoretical Challenges and Future Directions

Compressed sensing (CS) recovers high-dimensional signals from low-dimensional measurements by exploiting structural priors such as sparsity. While conventional reconstruction mainly relies on iterative optimization, its practical use is often limited by computational overhead, sensitivity to hyperparameter tuning, and...