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Profil bibliographique

Guangdong Ma

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

31Publications signalées
234Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Random lasers and scattering mediaOrbital Angular Momentum in OpticsCell Image Analysis TechniquesOptical Network TechnologiesNeural Networks and Reservoir Computing

Les publications récentes

2026 article OpenAlex

Crosstalk‐Mitigated OAM Recovery Through Strong Scattering via Sparsity‐Regularized LG‐TM

Guangdong Ma, Shupeng Zhao, Xiao Wang, Min An et autres

ABSTRACT Light beams carrying orbital angular momentum (OAM) provide an unbounded set of mutually orthogonal spatial modes, enabling high‐dimensional information encoding for optical communication and sensing. However, strong scattering severely distorts the helical phase structure of OAM beams, introducing inter‐modal crosstalk that …

cn, fr, us (code pays fourni par la source)

0 citations Laser & Photonics Review
Accès ouvert 2026 article OpenAlex

Wavelength-multiplexed diffractive optical information storage and image projection

Che‐Yung Shen, Yuhang Li, Çağatay Işıl, Jingxi Li et autres

We introduce a wavelength-multiplexed diffractive information storage platform composed of dielectric surfaces that are structurally optimized at the wavelength scale using deep learning to store and project thousands of distinct image patterns, each assigned to a unique wavelength. Through numerical simulations in …

us (code pays fourni par la source)

0 citations Advanced Photonics
Accès ouvert 2026 preprint OpenAlex

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

Che‐Yung Shen, Yuhang Li, Çağatay Işıl, Jingxi Li et autres

We introduce a wavelength-multiplexed massively parallel diffractive information storage platform composed of dielectric surfaces that are structurally optimized at the wavelength scale using deep learning to store and project thousands of distinct image patterns, each assigned to a unique wavelength. Through numerical …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Compressive single-pixel imaging via a wavelength-multiplexed spatially incoherent diffractive optical processor

Xiao Wang, Yiyang Wu, Yuntian Wang, Md Sadman Sakib Rahman et autres

Despite offering high sensitivity, a high signal-to-noise ratio, and a broad spectral range, single-pixel imaging (SPI) is limited by low measurement efficiency and long data-acquisition times. To address this, we propose a wavelength-multiplexed, spatially incoherent diffractive optical processor combined with a compact/shallow …

0 citations arXiv (Cornell University)
2025 article OpenAlex

High-fidelity orbital angular momentum spectrum reconstruction via sparse intensity measurements

Xiao Wang, Guangdong Ma, Yongtao Zhao, Pei Zhang et autres

Accurate reconstruction of the complex spectrum of orbital angular momentum (OAM) superposition states is crucial for their application in high-capacity optical communications and quantum information, yet existing methods are often constrained by system complexity, extensive data requirements, or incomplete information retrieval. Here, …

cn (code pays fourni par la source)

0 citations Optics Letters
2025 conference-paper OpenAlex

Multiplexed large-scale permutation operations using a reconfigurable diffractive optical network

Guangdong Ma, Xilin Yang, Bijie Bai, Jingxi Li et autres

We report a reconfigurable multiplexed diffractive processor that utilizes diffractive layer rotations to all-optically execute a large set of high-dimensional permutation operations. Within this rotatable diffractive design, each diffractive layer permits four independent rotation angles at 0°, 90°, 180°, and 270°. Therefore, …

us (code pays fourni par la source)

0 citations
Accès ouvert 2025 article OpenAlex

Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining

Yuzhu Li, Nir Pillar, Tairan Liu, Guangdong Ma et autres

Objective and Impact Statement: We present a panel of virtual staining neural networks for lung and heart transplant biopsies, providing rapid and high-quality histological staining results while bypassing the traditional histochemical staining process. Introduction: Allograft rejection is a common complication of organ …

us (code pays fourni par la source)

2 citations BME Frontiers

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