activity
20182023
most citedOrthogonality of Diffractive Deep Neural Networks

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2023

Advances in Atomic Time Scale imaging with a Fine Intrinsic Spatial Resolution

Jingzhen Li, Yi Cai, Xuanke Zeng +3

Atomic time scale imaging, opening a new era for studying dynamics in microcosmos, is presently attracting immense research interesting on the global level due to its powerful abil…

physics.optics2021

Single-shot framing integration photography with high spatial resolution at 5.3*1012 frames per second by an inversed 4f system

Qifan Zhu, Yi Cai, Xuanke Zeng +5

We present a framing integration ultrafast photography (FIP), which integrates the framing structure, codes a dynamic event by an inversed 4f system (I4F) and decodes regionally wi…

physics.optics2019

Ultrafast Framing Imaging utilizing Multiple Optical-parametric-amplification with High Spatial Resolution and Imaging Rate

Xuanke Zeng, Shuiqin Zheng, Yi Cai +6

The discovery and understanding of many ultrafast dynamical processes are often invaluable. This paper is the first report to apply optical parametric amplification to implement si…

physics.optics2018★ 5 cited

Orthogonality of Diffractive Deep Neural Networks

Shuiqin Zheng, Xuanke Zeng, Lang Zha +3

Several laws are found for the Diffractive Deep Neural Networks (D2NN). They reveal the inner product of any two light fields in D2NN is invariant and the D2NN act as a unitary tra…

physics.ins-det2018★ 1 cited

High-resolution single-shot ultrafast imaging at ten trillion frames per second

Xuanke Zeng, Yi Cai, Shuiqin Zheng +6

Ultrafast imaging is a powerful tool for studying space-time dynamics in photonic material, plasma physics, living cells, and neural activity. Pushing the imaging speed to the quan…