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20222026
most citedRubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture

2 citations · 5 across the 15 of their papers we have counts for

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cs.CV2026

All-Optical Segmentation via Diffractive Neural Networks for Autonomous Driving

Yingjie Li, Daniel Robinson, Weilu Gao +1

Semantic segmentation and lane detection are crucial tasks in autonomous driving systems. Conventional approaches predominantly rely on deep neural networks (DNNs), which incur hig…

cs.ET2026

HoloGraph: All-Optical Graph Learning via Light Diffraction

Yingjie Li, Shanglin Zhou, Caiwen Ding +1

As a representative of next-generation device/circuit technology beyond CMOS, physics-based neural networks such as Diffractive Optical Neural Networks (DONNs) have demonstrated pr…