Publications: Dr Pengfei Fan
Shen Z, Mao M, Fan P
(
2024
)
.
A Primary Comparison of Diffusion Models and Generative Adversarial Networks for Image Synthesis
.
Conference:
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI)225
-
234
.
Mao M, Shen Z, Fan P
(
2024
)
.
Improved Diffusion Model for Fast Image Generation
.
Conference:
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI)209
-
216
.
Fan P, Jiang R, Wang S, Wang X, Zhang Y, Jia D
(
2024
)
.
An efficient acoustic energy harvester by using deep learning-based traffic prediction
.
Energy
vol.
308
,
Fan P, Purwanto E, Li N, Wang J, Tay TT, Wang L, Wang Q
(
2024
)
.
Unlocking the Potential of Competition-Based Learning: A Case Study of Kaggle in Big Data Analytics Education
.
Conference:
2024 10th International Conference on Smart Computing and Communication (ICSCC)
vol.
00
,
589
-
595
.
Huang Y, Qian J, Fan P, Liu Y
(
2024
)
.
Parameter estimation algorithm based on the combination of cross-correlation and principal component analysis for structured illumination microscopy
.
Proceedings of SPIE--the International Society for Optical Engineering
.
Conference:
Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Technologies in Optical Systems
vol.
13153
,
Xia W, Qian J, Fan P, Zuo C
(
2024
)
.
Tiled and layer-adaptive three-dimensional structured illumination microscopy based on principal component analysis
.
Proceedings of SPIE--the International Society for Optical Engineering
.
Conference:
Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems
vol.
13155
,
Fan P, Wang Y, Ruddlesden M, Zuo C, Su L
(
2024
)
.
Enhanced Light Control in Transmission and Reflection through a Dynamically Deformed Multimode Fiber with Deep Learning
.
2024 Conference on Lasers and Electro-Optics, CLEO 2024
.
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]