activity
20182025
most citedHigh-order tensor flow processing using integrated photonic circuits

171 citations · 299 across the 8 of their papers we have counts for

collaborators

8 papers

physics.app-ph2025

Physical Computing at the Data Processing Inequality Limit

Yuhang Zheng, Yang Zhao, Xiuting Zou +6

Wave-physics-based intelligent sensing has driven multidisciplinary applications from smart industries to decision-making systems. Traditional sensing paradigms transform physical…

eess.SP2022

High-resolution and reliable automatic target recognition based on photonic ISAR imaging system with explainable deep learning

Xiuting Zou, Anyi Deng, Yiheng Hu +4

Automatic target recognition (ATR) based on inverse synthetic aperture radar (ISAR) images, which is extensively utilized to surveil environment in military and civil fields, must…

cs.ET2021★ 171 cited

High-order tensor flow processing using integrated photonic circuits

Shaofu Xu, Jing Wang, Sicheng Yi +1

Tensor analytics lays mathematical basis for the prosperous promotion of multiway signal processing. To increase computing throughput, mainstream processors transform tensor convol…

cs.ET2021★ 122 cited

Optical coherent dot-product chip for sophisticated deep learning regression

Shaofu Xu, Jing Wang, Haowen Shu +6

Optical implementations of neural networks (ONNs) herald the next-generation high-speed and energy-efficient deep learning computing by harnessing the technical advantages of large…

eess.SP2020

Hardware-irrelevant parallel processing system

Xiuting Zou, Shaofu Xu, Anyi Deng +2

Parallel processing technology has been a primary tool for achieving high-speed, high-accuracy, and broadband processing for many years across modern information systems and data p…

eess.SP2019★ 2 cited

Performance evaluation of an integrated photonic convolutional neural network based on delay buffering and wavelength division multiplexing

Shaofu Xu, Jing Wang, Weiwen Zou

Photonic technologies have shown a promising way to build high-speed and high-energy-efficiency neural network accelerators. In previously presented photonic neural networks, archi…

eess.SP2019★ 1 cited

Deep learning scheme for recovery of broadband microwave photonic receiving systems in transceivers without expert knowledge and system priors

Shaofu Xu, Rui Wang, Jianping Chen +2

In regular microwave photonic (MWP) receiving systems, broadband signals are processed in the analog domain before they are transformed to the digital domain for further processing…

eess.SP2018★ 3 cited

Analog-to-digital conversion revolutionized by deep learning

Shaofu Xu, Xiuting Zou, Bowen Ma +3

As the bridge between the analog world and digital computers, analog-to-digital converters are generally used in modern information systems such as radar, surveillance, and communi…