Intelligent constellation diagram analyzer using convolutional neural network-based deep learning D Wang, M Zhang, J Li, Z Li, J Li, C Song, X Chen Optics express 25 (15), 17150-17166, 2017 | 264 | 2017 |
Modulation format recognition and OSNR estimation using CNN-based deep learning D Wang, M Zhang, Z Li, J Li, M Fu, Y Cui, X Chen IEEE Photonics Technology Letters 29 (19), 1667-1670, 2017 | 250 | 2017 |
Failure prediction using machine learning and time series in optical network Z Wang, M Zhang, D Wang, C Song, M Liu, J Li, L Lou, Z Liu Optics Express 25 (16), 18553-18565, 2017 | 213 | 2017 |
Joint atmospheric turbulence detection and adaptive demodulation technique using the CNN for the OAM-FSO communication J Li, M Zhang, D Wang, S Wu, Y Zhan Optics express 26 (8), 10494-10508, 2018 | 202 | 2018 |
Nonlinearity Mitigation Using a Machine Learning Detector Based on -Nearest Neighbors D Wang, M Zhang, M Fu, Z Cai, Z Li, H Han, Y Cui, B Luo IEEE Photonics Technology Letters 28 (19), 2102-2105, 2016 | 136 | 2016 |
The role of digital twin in optical communication: fault management, hardware configuration, and transmission simulation D Wang, Z Zhang, M Zhang, M Fu, J Li, S Cai, C Zhang, X Chen IEEE Communications Magazine 59 (1), 133-139, 2021 | 117 | 2021 |
Data-driven optical fiber channel modeling: A deep learning approach D Wang, Y Song, J Li, J Qin, T Yang, M Zhang, X Chen, AC Boucouvalas Journal of Lightwave Technology 38 (17), 4730-4743, 2020 | 109 | 2020 |
Adaptive demodulator using machine learning for orbital angular momentum shift keying J Li, M Zhang, D Wang IEEE Photonics Technology Letters 29 (17), 1455-1458, 2017 | 101 | 2017 |
Nonlinear decision boundary created by a machine learning-based classifier to mitigate nonlinear phase noise D Wang, M Zhang, Z Li, Y Cui, J Liu, Y Yang, H Wang 2015 European Conference on Optical Communication (ECOC), 1-3, 2015 | 101 | 2015 |
Hierarchical edge cloud enabling network slicing for 5G optical fronthaul C Song, M Zhang, Y Zhan, D Wang, L Guan, W Liu, L Zhang, S Xu Journal of Optical Communications and Networking 11 (4), B60-B70, 2019 | 99 | 2019 |
Physics‐Informed 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 | 81 | 2022 |
Combatting nonlinear phase noise in coherent optical systems with an optimized decision processor based on machine learning D Wang, M Zhang, Z Cai, Y Cui, Z Li, H Han, M Fu, B Luo Optics Communications 369, 199-208, 2016 | 76 | 2016 |
Cost-effective and data size–adaptive OPM at intermediated node using convolutional neural network-based image processor D Wang, M Wang, M Zhang, Z Zhang, H Yang, J Li, J Li, X Chen Optics express 27 (7), 9403-9419, 2019 | 65 | 2019 |
Cloud-edge collaboration in industrial internet of things: A joint offloading scheme based on resource prediction Z Sun, H Yang, C Li, Q Yao, D Wang, J Zhang, AV Vasilakos IEEE Internet of Things Journal 9 (18), 17014-17025, 2021 | 56 | 2021 |
System impairment compensation in coherent optical communications by using a bio-inspired detector based on artificial neural network and genetic algorithm D Wang, M Zhang, Z Li, C Song, M Fu, J Li, X Chen Optics Communications 399, 1-12, 2017 | 52 | 2017 |
SVM-based detection in visible light communications Y Yuan, M Zhang, P Luo, Z Ghassemlooy, L Lang, D Wang, B Zhang, ... Optik 151, 55-64, 2017 | 50 | 2017 |
Low-complexity and nonlinearity-tolerant modulation format identification using random forest Y Zhao, C Shi, D Wang, X Chen, L Wang, T Yang, J Du IEEE Photonics Technology Letters 31 (11), 853-856, 2019 | 43 | 2019 |
Artificial intelligence in optical communications: from machine learning to deep learning D Wang, M Zhang Frontiers in Communications and Networks 2, 656786, 2021 | 40 | 2021 |
LCoS-based wavelength-selective switch for future finer-grid elastic optical networks capable of all-optical wavelength conversion D Xie, D Wang, M Zhang, Z Liu, Q You, Q Yang, S Yu IEEE Photonics Journal 9 (2), 1-12, 2017 | 40 | 2017 |
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 | 37 | 2021 |