activity
20222026
most citedMassively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network

90 citations · 650 across the 20 of their papers we have counts for

collaborators

20 papers

physics.optics2026

Wavelength-Multiplexed 2D Beam Steering via a Passive Diffractive Network

Che-Yung Shen, Yuhang Li, Cagatay Isil +3

We introduce a wavelength-addressable diffractive optical network that transforms illumination wavelength into a high-dimensional control parameter for arbitrarily programmable 2D…

physics.optics2026

Wavelength-multiplexed massively parallel diffractive optical information storage and image projection

Che-Yung Shen, Yuhang Li, Cagatay Isil +7

We introduce a wavelength-multiplexed massively parallel diffractive information storage platform composed of dielectric surfaces that are structurally optimized at the wavelength…

physics.optics2025★ 1 cited

Super-resolution image projection over an extended depth of field using a diffractive decoder

Hanlong Chen, Cagatay Isil, Tianyi Gan +2

Image projection systems must be efficient in data storage, computation and transmission while maintaining a large space-bandwidth-product (SBP) at their output. Here, we introduce…

physics.optics2024★ 2 cited

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…

physics.optics2024★ 2 cited

Programming of refractive functions

Md Sadman Sakib Rahman, Tianyi Gan, Mona Jarrahi +1

Snell's law dictates the phenomenon of light refraction at the interface between two media. Here, we demonstrate arbitrary programming of light refraction through an engineered mat…

physics.optics2024★ 5 cited

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…

physics.optics2024★ 57 cited

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…

physics.optics2024★ 19 cited

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…

physics.optics2024★ 48 cited

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…

physics.optics2024★ 33 cited

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…

physics.optics2024★ 38 cited

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…

physics.optics2023★ 21 cited

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…

physics.optics2023★ 60 cited

All-optical image denoising using a diffractive visual processor

Cagatay Isıl, Tianyi Gan, F. Onuralp Ardic +9

Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising algorithms, executed on computers,…

physics.optics2023★ 31 cited

Pyramid diffractive optical networks for unidirectional image magnification and demagnification

Bijie Bai, Xilin Yang, Tianyi Gan +4

Diffractive deep neural networks (D2NNs) are composed of successive transmissive layers optimized using supervised deep learning to all-optically implement various computational ta…

physics.optics2023★ 37 cited

Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions

Md Sadman Sakib Rahman, Tianyi Gan, Emir Arda Deger +3

Free-space optical systems are emerging for high data rate communication and transfer of information in indoor and outdoor settings. However, free-space optical communication becom…

physics.optics2023★ 41 cited

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…

physics.optics2023★ 20 cited

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…

physics.optics2022★ 57 cited

Unidirectional Imaging using Deep Learning-Designed Materials

Jingxi Li, Tianyi Gan, Yifan Zhao +5

A unidirectional imager would only permit image formation along one direction, from an input field-of-view (FOV) A to an output FOV B, and in the reverse path, the image formation…

cs.NE2022★ 90 cited

Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network

Jingxi Li, Bijie Bai, Yi Luo +1

We report deep learning-based design of a massively parallel broadband diffractive neural network for all-optically performing a large group of arbitrarily-selected, complex-valued…

physics.optics2022★ 88 cited

To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects

Bijie Bai, Yi Luo, Tianyi Gan +6

Privacy protection is a growing concern in the digital era, with machine vision techniques widely used throughout public and private settings. Existing methods address this growing…