Publications: Dr Pengfei Fan
Fan P, Ruddlesden M, Wang Y, Zhao L, Lu C, Su L
(
2022
)
.
Semi-supervised Learning Enabled Scalable High-Spatial-Density Channel Multiplexing over Multimode Fibers
.
Conference:
2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC)
vol.
00
,
1
-
4
.
Fan P, Wang Y, Ruddlesden M, Wang X, Thaha MA, Sun J, Zuo C, Su L
(
2022
)
.
Deep Learning Enabled Scalable Calibration of a Dynamically Deformed Multimode Fiber
.
Advanced Photonics Research2100304
-
2100304
.
Zuo C, Qian J, Feng S, Yin W, Li Y, Fan P, Han J, Qian K et al.
(
2022
)
.
Correction: Deep learning in optical metrology: a review
.
Light: Science & Applications
vol.
11
,
(
1
)
Zuo C, Qian J, Feng S, Yin W, Li Y, Fan P, Han J, Qian K et al.
(
2022
)
.
Deep learning in optical metrology: a review
.
Light: Science & Applications
vol.
11
,
(
1
)
Fan P, Ruddlesden M, Wang Y, Zhao L, Lu C, Su L
(
2021
)
.
Learning Enabled Continuous Transmission of Spatially Distributed Information through Multimode Fibers
.
Laser and Photonics Reviews
Fan P, Ruddlesden M, Wang Y, Su L
.
Speckle Reconstruction with Corruption through Multimode Fibers Using Deep Learning
.
Conference:
Conference on Lasers and Electro-Optics
Fan P, Deng L, Su L
(
2018
)
.
Light Propagation Prediction through Multimode Optical Fibers with a Deep Neural Network
.
Conference:
2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
vol.
00
,
1080
-
1084
.
Pengfei F, Tianrui Z, SU L
(
2018
)
.
Deep learning the high variability and randomness inside multimode fibres
.
arXiv:1807.09351 [physics.optics]