| An optical communication's perspective on machine learning and its applications FN Khan, Q Fan, C Lu, APT Lau Journal of Lightwave Technology 37 (2), 493-516, 2019 | 290 | 2019 |
| Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning Q Fan, G Zhou, T Gui, C Lu, APT Lau Nature Communications 11 (1), 3694, 2020 | 133 | 2020 |
| Field trial of machine-learning-assisted and SDN-based optical network planning with network-scale monitoring database S Yan, FN Khan, A Mavromatis, D Gkounis, Q Fan, F Ntavou, ... 2017 European Conference on Optical Communication (ECOC), 1-3, 2017 | 97 | 2017 |
| PhysicsInformed Neural Network for Nonlinear Dynamics in Fiber Optics X Jiang, D Wang, Q Fan, M Zhang, C Lu, APT Lau Laser & Photonics Reviews 16 (9), 2100483, 2022 | 61 | 2022 |
| Low-complexity carrier phase recovery based on principal component analysis for square-QAM modulation formats JCM Diniz, Q Fan, SM Ranzini, FN Khan, F Da Ros, D Zibar, APT Lau Optics Express 27 (11), 15617-15626, 2019 | 37 | 2019 |
| Solving the nonlinear Schrödinger equation in optical fibers using physics-informed neural network X Jiang, D Wang, Q Fan, M Zhang, C Lu, APT Lau Optical fiber communication conference, M3H. 8, 2021 | 35 | 2021 |
| Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems J Lu, G Zhou, Q Fan, D Zeng, C Guo, L Lu, J Li, C Xie, C Lu, FN Khan, ... Journal of Optical Communications and Networking 13 (4), B35-B44, 2021 | 32 | 2021 |
| Machine learning methods for optical communication systems and networks FN Khan, Q Fan, C Lu, APT Lau Optical fiber telecommunications VII, 921-978, 2020 | 31 | 2020 |
| Applications of machine-learning in optical communications and networks FN Khan, Q Fan, APT Lau, C Lu Next-Generation Optical Communication: Components, Sub-Systems, and Systems …, 2020 | 28 | 2020 |
| Automated training dataset collection system design for machine learning application in optical networks: an example of quality of transmission estimation J Lu, Q Fan, G Zhou, L Lu, C Yu, APT Lau, C Lu Journal of Optical Communications and Networking 13 (11), 289-300, 2021 | 17 | 2021 |
| Experimental comparisons between machine learning and analytical models for QoT estimations in WDM systems Q Fan, J Lu, G Zhou, D Zeng, C Guo, L Lu, J Li, C Xie, C Lu, FN Khan, ... 2020 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2020 | 17 | 2020 |
| Combined neural network and adaptive DSP training for long-haul optical communications Q Fan, C Lu, APT Lau Journal of lightwave technology 39 (22), 7083-7091, 2021 | 16 | 2021 |
| Efficient three-step amplifier configuration algorithm for dynamic C+ L-band links in presence of stimulated Raman scattering Y Song, Q Fan, C Lu, D Wang, APT Lau Journal of Lightwave Technology 41 (5), 1445-1453, 2022 | 13 | 2022 |
| Field trial of machine-learning-assisted and SDN-based optical network management S Yan, FN Khan, A Mavromatis, Q Fan, H Frank, R Nejabati, APT Lau, ... Optical Fiber Communication Conference, M2E. 1, 2019 | 11 | 2019 |
| Physics-informed neural operator for fast and scalable optical fiber channel modelling in multi-span transmission Y Song, D Wang, Q Fan, X Jiang, X Luo, M Zhang 2022 European Conference on Optical Communication (ECOC), 1-4, 2022 | 10 | 2022 |
| Digital twin-assisted optical power allocation for flexible and customizable SNR optimization X Pang, S Li, Q Fan, M Zhang, C Lu, APT Lau, D Wang Optical Fiber Communication Conference, W4I. 4, 2022 | 10 | 2022 |
| Inter-channel FWM mitigation techniques for O-band WDM based 800G/1.6 T LR and 5G fronthaul applications X Liu, Q Fan 2023 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2023 | 8 | 2023 |
| Digital twin-enabled power optimizer for multi-span transmission system using autoencoder S Li, D Wang, Y Song, Q Fan, M Zhang, C Lu, APT Lau Optical Fiber Communication Conference, M3H. 1, 2021 | 8 | 2021 |
| Machine learning-assisted optical performance monitoring in fiber-optic networks FN Khan, Q Fan, C Lu, APT Lau 2018 IEEE Photonics Society Summer Topical Meeting Series (SUM), 53-54, 2018 | 7 | 2018 |
| Application of machine learning techniques in fiber-optic communication systems APT Lau, FN Khan, Q Fan, C Lu Signal processing in photonic communications, SpW4G. 1, 2018 | 7 | 2018 |
Alan Pak Tao LauProfessor of Electrical and Electronic Engineering at The Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
