19 citations · 41 across the 7 of their papers we have counts for
7 papers
Topological Phase Transition and Geometrical Frustration in Fourier Photonic Simulator
Yuxuan Sun, Weiru Fan, Xingqi Xu +2
XY models with continuous spin orientation play a pivotal role in understanding topological phase transitions and emergent frustration phenomena, such as superconducting and superf…
Deep Learning Enhanced Quantum Holography with Undetected Photons
Weiru Fan, Gewei Qian, Yutong Wang +9
Holography is an essential technique of generating three-dimensional images. Recently, quantum holography with undetected photons (QHUP) has emerged as a groundbreaking method capa…
Seeing the Invisible through Speckle Images
Weiru Fan, Xiaobin Tang, Xingqi Xu +5
Scattering obscures information carried by wave by producing a speckle pattern, posing a common challenge across various fields, including microscopy and astronomy. Traditional met…
General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model
Weiru Fan, Xiaobin Tang, Yiyi Liao +1
Computational imaging is crucial in many disciplines from autonomous driving to life sciences. However, traditional model-driven and iterative methods consume large computational p…
Programmable Photonic Simulator for Spin Glass Models
Weiru Fan, Yuxuan Sun, Xingqi Xu +3
Spin glasses featured by frustrated interactions and metastable states have important applications in chemistry, material sciences and artificial neural networks. However, the solu…
Recognizing three-dimensional phase images with deep learning
Weiru Fan, Tianrun Chen, Xingqi Xu +6
Optical phase contains key information for biomedical and astronomical imaging. However, it is often obscured by layers of heterogeneous and scattering media, which render optical…
Second Harmonic Imaging Enhanced by Deep Learning Decipher
Weiru Fan, Tianrun Chen, Eddie Gil +4
Wavefront sensing and reconstruction are widely used for adaptive optics, aberration correction, and high-resolution optical phase imaging. Traditionally, interference and/or micro…