Deep learning in optical metrology: a review C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan, J Han, K Qian, Q Chen Light: Science & Applications 11 (1), 1-54, 2022 | 579 | 2022 |
Deep learning the high variability and randomness inside multimode fibers P Fan, T Zhao, L Su Optics express 27 (15), 20241-20258, 2019 | 125 | 2019 |
Learning enabled continuous transmission of spatially distributed information through multimode fibers P Fan, M Ruddlesden, Y Wang, L Zhao, C Lu, L Su Laser & Photonics Reviews 15 (4), 2000348, 2021 | 39 | 2021 |
Deep learning enabled scalable calibration of a dynamically deformed multimode fiber P Fan, Y Wang, M Ruddlesden, X Wang, MA Thaha, J Sun, C Zuo, L Su Advanced Photonics Research 3 (10), 2100304, 2022 | 14 | 2022 |
Light propagation prediction through multimode optical fibers with a deep neural network P Fan, L Deng, L Su 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation …, 2018 | 6 | 2018 |
Learning enabled dense space-division multiplexing through a single multimode fibre P Fan, M Ruddlesden, Y Wang, L Zhao, C Lu, L Su arXiv preprint arXiv:2002.01788, 2020 | 3 | 2020 |
Speckle reconstruction with corruption through multimode fibers using deep learning P Fan, M Ruddlesden, Y Wang, L Su CLEO: Science and Innovations, SM2L. 4, 2020 | 2 | 2020 |
Semi-supervised learning enabled scalable high-spatial-density channel multiplexing over multimode fibers P Fan, M Ruddlesden, Y Wang, L Zhao, C Lu, L Su 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 …, 2022 | 1 | 2022 |
Improved Diffusion Model for Fast Image Generation M Mao, Z Shen, P Fan Proceedings of the 2024 7th International Conference on Machine Learning and …, 2024 | | 2024 |
A Primary Comparison of Diffusion Models and Generative Adversarial Networks for Image Synthesis Z Shen, M Mao, P Fan Proceedings of the 2024 7th International Conference on Machine Learning and …, 2024 | | 2024 |
Unlocking the Potential of Competition-Based Learning: A Case Study of Kaggle in Big Data Analytics Education P Fan, E Purwanto, N Li, J Wang, TT Tay, L Wang, Q Wang 2024 10th International Conference on Smart Computing and Communication …, 2024 | | 2024 |
Enhanced Light Control in Transmission and Reflection through a Dynamically Deformed Multimode Fiber with Deep Learning P Fan, Y Wang, M Ruddlesden, C Zuo, L Su CLEO: Applications and Technology, AF1B. 2, 2024 | | 2024 |
Parameter estimation algorithm based on the combination of cross-correlation and principal component analysis for structured illumination microscopy Y Huang, J Qian, P Fan, Y Liu Sixth Conference on Frontiers in Optical Imaging and Technology: Novel …, 2024 | | 2024 |
Tiled and layer-adaptive three-dimensional structured illumination microscopy based on principal component analysis W Xia, J Qian, P Fan, C Zuo Sixth Conference on Frontiers in Optical Imaging and Technology: Novel …, 2024 | | 2024 |
Super-resolved image reconstruction by structured illumination microscopy W Xia, Y Bi, Y Cao, K Xu, P Fan Advanced Optical Imaging Technologies V, PC123160S, 2023 | | 2023 |
Deep Learning for Information Transmission through Multimode Optical Fibres P Fan Queen Mary University of London, 2021 | | 2021 |