activity
20242026
most citedOptical Generative Models

48 citations · 62 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection

Parnian Ghapandar Kashani, Shiqi Chen, Aydogan Ozcan

The rapid proliferation of AI-generated visual media has created an urgent need for efficient, trustworthy deepfake detection systems. However, existing deep learning-based detecti…

physics.optics2026

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

Xiao Wang, Yiyang Wu, Yuntian Wang +8

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-acqui…

physics.optics2026

Interleaved diffractive networks for information transfer through random diffusers

Yuhang Li, Yiyang Wu, Shiqi Chen +2

Transferring optical information through random diffusers is a critical yet challenging task. In this work, we introduce a cascaded diffractive optical network for information tran…

physics.optics2025

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…

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.optics2025★ 8 cited

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…

cs.LG2025★ 5 cited

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…

cs.NE2024★ 48 cited

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…

physics.optics2024

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…