activity
20242026
most citedOptical next generation reservoir computing

3 citations · 3 across the 3 of their papers we have counts for

collaborators

6 papers

physics.optics2026

Image Priors for Single-Shot Coded Diffraction Phase Retrieval

Zhiyuan Hu, YoonSeok Baek, Sylvain Gigan +2

Phase retrieval recovers complex-valued objects from intensity-only measurements. In its classical Fourier form, reconstruction suffers from twin-image stagnation. Coded diffractio…

quant-ph2026

Computational aberration-retrieval with entangled photons

Baptiste Courme, YoonSeok Baek, Hugo Defienne

Adaptive optics (AO) is central to high-resolution microscopy, yet conventional implementations often require repeated correction-and-measurement cycles whose number increases with…

physics.optics2025

Optical Computing with Spectrally Multiplexed Features in Complex Media

Xue Dong, Kai Lion, Fei Xia +4

Artificial intelligence (AI) has rapidly evolved into a critical technology; however, electrical hardware struggles to keep pace with the exponential growth of AI models. Free spac…

physics.optics2025

Three-dimensional holographic imaging of incoherent objects through scattering media

YoonSeok Baek, Hilton B. de Aguiar, Sylvain Gigan

Three-dimensional (3D) high-resolution imaging is essential in microscopy, yet light scattering poses significant challenges in achieving it. Here, we present an approach to hologr…

physics.optics2024

Replica-assisted super-resolution fluorescence imaging in scattering media

Tengfei Wu, YoonSeok Baek, Fei Xia +2

Far-field super-resolution fluorescence microscopy has been rapidly developed for applications ranging from cell biology to nanomaterials. However, it remains a significant challen…

physics.optics2024★ 3 cited

Optical next generation reservoir computing

Hao Wang, Jianqi Hu, YoonSeok Baek +4

Artificial neural networks with internal dynamics exhibit remarkable capability in processing information. Reservoir computing (RC) is a canonical example that features rich comput…