Xurong Li
Papers
1
Total Citations
66
H-Index
1
About
Xurong Li is a pioneering researcher at the intersection of computational imaging, diffractive optics, and machine vision. Their most impactful work demonstrates how all-optical image classification can be achieved through unknown random diffusers using a single-pixel diffractive network—a breakthrough that bypasses traditional electronic processing entirely. This 2023 study, already garnering 66 citations, addresses the formidable challenge of classifying objects hidden behind random, unknown scattering media, a problem long considered intractable for conventional imaging systems. By designing a diffractive optical network that directly processes light scattered by unknown diffusers, Li’s approach eliminates the need for digital reconstruction or prior knowledge of the scattering medium, enabling real-time, passive classification. This work bridges deep learning and physical optics, offering transformative potential for autonomous navigation, biomedical imaging through turbid tissues, and secure machine vision. Li’s contributions stand out for their elegance—replacing sensor-based data collection with all-optical computation—and their promise to reshape how machines perceive the world in scattering environments.
Research Focus
Key Achievements
Top Papers
- 1