73 citations · 581 across the 26 of their papers we have counts for
26 papers
Snapshot 3D image projection using a diffractive decoder
Cagatay Isil, Alexander Chen, Yuhang Li +4
3D image display is essential for next-generation volumetric imaging; however, dense depth multiplexing for 3D image projection remains challenging because diffraction-induced cros…
Structured Light at the Extreme: Harnessing Spatiotemporal Control for High-Field Laser-Matter Interactions
Sergio Carbajo, Seung-Whan Bahk, Justin Baker +19
This review charts the emerging paradigm of intelligent structured light for high-field laser-matter interactions, where the precise spatiotemporal and vectorial control of light i…
Detection and imaging of chemicals and hidden explosives using terahertz time-domain spectroscopy and deep learning
Xinghe Jiang, Yuhang Li, Yuzhu Li +3
Detecting concealed chemicals and explosives remains a critical challenge in global security. Terahertz time-domain spectroscopy (THz-TDS) offers a promising non-invasive and stand…
Massively parallel and universal approximation of nonlinear functions using diffractive processors
Md Sadman Sakib Rahman, Yuhang Li, Xilin Yang +2
Nonlinear computation is essential for a wide range of information processing tasks, yet implementing nonlinear functions using optical systems remains a challenge due to the weak…
Model-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization
Yuhang Li, Shiqi Chen, Tingyu Gong +1
Optical computing holds promise for high-speed, energy-efficient information processing, with diffractive optical networks emerging as a flexible platform for implementing task-spe…
Snapshot multi-spectral imaging through defocusing and a Fourier imager network
Xilin Yang, Michael John Fanous, Hanlong Chen +6
Multi-spectral imaging, which simultaneously captures the spatial and spectral information of a scene, is widely used across diverse fields, including remote sensing, biomedical im…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Unidirectional focusing of light using structured diffractive surfaces
Yuhang Li, Tianyi Gan, Jingxi Li +2
Unidirectional optical systems enable selective control of light through asymmetric processing of radiation, effectively transmitting light in one direction while blocking unwanted…
Optical Generative Models
Shiqi Chen, Yuhang Li, Hanlong Chen +1
Generative models cover various application areas, including image, video and music synthesis, natural language processing, and molecular design, among many others. As digital gene…
Lying mirror using structured surfaces
Yuhang Li, Shiqi Chen, Bijie Bai +1
We introduce an all-optical system, termed the "lying mirror", to hide input information by transforming it into misleading, ordinary-looking patterns that effectively camouflage t…
Unidirectional imaging with partially coherent light
Guangdong Ma, Che-Yung Shen, Jingxi Li +8
Unidirectional imagers form images of input objects only in one direction, e.g., from field-of-view (FOV) A to FOV B, while blocking the image formation in the reverse direction, f…
Optimizing Structured Surfaces for Diffractive Waveguides
Yuntian Wang, Yuhang Li, Tianyi Gan +3
Waveguide design is crucial in developing efficient light delivery systems, requiring meticulous material selection, precise manufacturing, and rigorous performance optimization, i…
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…
Multiplane Quantitative Phase Imaging Using a Wavelength-Multiplexed Diffractive Optical Processor
Che-Yung Shen, Jingxi Li, Tianyi Gan +4
Quantitative phase imaging (QPI) is a label-free technique that provides optical path length information for transparent specimens, finding utility in biology, materials science, a…
Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network
Guangdong Ma, Xilin Yang, Bijie Bai +8
Large-scale and high-dimensional permutation operations are important for various applications in e.g., telecommunications and encryption. Here, we demonstrate the use of all-optic…
All-optical complex field imaging using diffractive processors
Jingxi Li, Yuhang Li, Tianyi Gan +3
Complex field imaging, which captures both the amplitude and phase information of input optical fields or objects, can offer rich structural insights into samples, such as their ab…
Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor
Jingtian Hu, Kun Liao, Niyazi Ulas Dinc +14
Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resoluti…
Information hiding cameras: optical concealment of object information into ordinary images
Bijie Bai, Ryan Lee, Yuhang Li +4
Data protection methods like cryptography, despite being effective, inadvertently signal the presence of secret communication, thereby drawing undue attention. Here, we introduce a…
All-Optical Phase Conjugation Using Diffractive Wavefront Processing
Che-Yung Shen, Jingxi Li, Tianyi Gan +2
Optical phase conjugation (OPC) is a nonlinear technique used for counteracting wavefront distortions, with various applications ranging from imaging to beam focusing. Here, we pre…
Diffusion Models for Probabilistic Deconvolution of Galaxy Images
Zhiwei Xue, Yuhang Li, Yash Patel +1
Telescopes capture images with a particular point spread function (PSF). Inferring what an image would have looked like with a much sharper PSF, a problem known as PSF deconvolutio…
Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array
Dehui Zhang, Dong Xu, Yuhang Li +14
Nonlinear optical processing of ambient natural light is highly desired in computational imaging and sensing applications. A strong optical nonlinear response that can work under w…
Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer
Yuhang Li, Jingxi Li, Yifan Zhao +4
We demonstrate universal polarization transformers based on an engineered diffractive volume, which can synthesize a large set of arbitrarily-selected, complex-valued polarization…
Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding
Yuhang Li, Tianyi Gan, Bijie Bai +3
Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due…
Rapid Sensing of Hidden Objects and Defects using a Single-Pixel Diffractive Terahertz Processor
Jingxi Li, Xurong Li, Nezih T. Yardimci +6
Terahertz waves offer numerous advantages for the nondestructive detection of hidden objects/defects in materials, as they can penetrate through most optically-opaque materials. Ho…