activity
20192024
most citedPrinciple-driven Fiber Transmission Model based on PINN Neural Network

45 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024

Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network

Yubin Zang, Boyu Hua, Zhenzhou Tang +5

In cater the need of Beyond 5G communications, large numbers of data driven artificial intelligence based fiber models has been put forward as to utilize artificial intelligence's…

cs.AI2024

Fiber Transmission Model with Parameterized Inputs based on GPT-PINN Neural Network

Yubin Zang, Boyu Hua, Zhipeng Lin +4

In this manuscript, a novelty principle driven fiber transmission model for short-distance transmission with parameterized inputs is put forward. By taking into the account of the…

eess.SP2024

Fiber neural networks for the intelligent optical fiber communications

Yubin Zang, Zuxing Zhang, Simin Li +2

Optical neural networks have long cast attention nowadays. Like other optical structured neural networks, fiber neural networks which utilize the mechanism of light transmission to…

eess.SP2021★ 45 cited

Principle-driven Fiber Transmission Model based on PINN Neural Network

Yubin Zang, Zhenming Yu, Kun Xu +4

In this paper, a novel principle-driven fiber transmission model based on physical induced neural network (PINN) is proposed. Unlike data-driven models which regard fiber transmiss…

eess.SP2019★ 5 cited

Electro-optical Neural Networks based on Time-stretch Method

Yubin Zang, Minghua Chen, Sigang Yang +1

In this paper, a novel architecture of electro-optical neural networks based on the time-stretch method is proposed and numerically simulated. By stretching time-domain ultrashort…