Papers 📝

Here are my recent publications! 📘📖 Journals and coferences.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
Compressive Imaging Reconstruction via Conditional Diffusion Model With Augmented Measurements
Improving Compressive Imaging Recovery via Measurement Augmentation
Learning to Reconstruct Signals With Inexact Sensing Operator via Knowledge Distillation
Deep Learned Non-Linear Propagation Model Regularizer for Compressive Spectral Imaging
Learning Point Spread Function Invertibility Assessment for Image Deconvolution
Learning a Spatially-Variant Propagation Model for Compressive Spectral Imaging
Compressive Spectral Image Reconstruction by using a Deep Image Prior with a Mismatch Regularizer