Area of research
Computational Mechanics · Biomedical Engineering
Research interest
Research interests include Computer science, Iterative reconstruction, Compressed sensing, Artificial intelligence, Optics, and Convolutional neural network.
Quantum-Inspired Multi-Parameter Adaptive Bayesian Estimation for Sensing and Imaging
Approaching quantum-limited imaging resolution without prior knowledge of the object location
Attaining the quantum limit of superresolution in imaging an object's length via predetection spatial-mode sorting
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
Cellular imaging of deep organ using two-photon Bessel light-sheet nonlinear structured illumination microscopy
Radar Target Profiling and Recognition Based on TSI-Optimized Compressive Sensing Kernel
Information-optimal Scalable Compressive Imaging System
Information optimal compressive sensing: static measurement design