| ANN-based transfer learning for QoT prediction in real-time mixed line-rate systems W Mo, YK Huang, S Zhang, E Ip, DC Kilper, Y Aono, T Tajima Optical Fiber Communication Conference, W4F. 3, 2018 | 64 | 2018 |
| Model transfer of QoT prediction in optical networks based on artificial neural networks J Yu, W Mo, YK Huang, E Ip, DC Kilper Journal of Optical Communications and Networking 11 (10), C48-C57, 2019 | 56 | 2019 |
| Machine learning based prediction of erbium-doped fiber WDM line amplifier gain spectra S Zhu, CL Gutterman, W Mo, Y Li, G Zussman, DC Kilper 2018 European Conference on Optical Communication (ECOC), 1-3, 2018 | 53 | 2018 |
| Deep-neural-network-based wavelength selection and switching in ROADM systems W Mo, CL Gutterman, Y Li, S Zhu, G Zussman, DC Kilper Journal of optical communications and networking 10 (10), D1-D11, 2018 | 50 | 2018 |
| Deep neural network based dynamic resource reallocation of BBU pools in 5G C-RAN ROADM networks W Mo, CL Gutterman, Y Li, G Zussman, DC Kilper Optical Fiber Communication Conference, Th1B. 4, 2018 | 46 | 2018 |
| tSDX: enabling impairment-aware all-optical inter-domain exchange Y Li, W Mo, S Zhu, Y Shen, J Yu, P Samadi, K Bergman, DC Kilper Journal of Lightwave Technology 36 (1), 142-154, 2017 | 32 | 2017 |
| Neural network based wavelength assignment in optical switching CL Gutterman, W Mo, S Zhu, Y Li, DC Kilper, G Zussman Proceedings of the Workshop on Big Data Analytics and Machine Learning for …, 2017 | 24 | 2017 |
| Situation-aware multipath routing and wavelength reassignment in a unified packet-circuit OpenFlow network W Mo, J He, MM Karbassian, J Wissinger, N Peyghambarian National Fiber Optic Engineers Conference, NTu3F. 6, 2013 | 22 | 2013 |
| Performance optimization of PM-16QAM transmission system enabled by real-time self-adaptive coding Z Qu, Y Li, W Mo, M Yang, S Zhu, DC Kilper, IB Djordjevic Optics letters 42 (20), 4211-4214, 2017 | 20 | 2017 |
| Transparent software-defined exchange (tSDX) with real-time OSNR-based impairment-aware wavelength path provisioning across multi-domain optical networks Y Li, W Mo, S Zhu, Y Shen, J Yu, P Samadi, K Bergman, DC Kilper Optical Fiber Communication Conference, Th5A. 2, 2017 | 19 | 2017 |
| Optical Fiber Communication Conference Y Li, W Mo, S Zhu, Y Shen, J Yu, P Samadi, K Bergman, DC Kilper National Fiber Optic Engineers Conference, 2006 | 17 | 2006 |
| EDFA wavelength dependent gain spectrum measurement using weak optical probe sampling W Mo, S Zhu, Y Li, DC Kilper IEEE Photonics Technology Letters 30 (2), 177-180, 2017 | 16 | 2017 |
| Dual-wavelength source based optical circuit switching and wavelength reconfiguration in multi-hop ROADM systems W Mo, S Zhu, Y Li, DC Kilper Optics express 25 (22), 27736-27749, 2017 | 16 | 2017 |
| Joint optimization of BBU pool allocation and selection for C-RAN networks Y Li, M Bhopalwala, S Das, J Yu, W Mo, M Ruffini, DC Kilper Optical Fiber Communication Conference, Th1B. 5, 2018 | 15 | 2018 |
| Performance analysis of QoT estimator in SDN-controlled ROADM networks AA Díaz-Montiel, J Yu, W Mo, Y Li, DC Kilper, M Ruffini 2018 International Conference on Optical Network Design and Modeling (ONDM …, 2018 | 13 | 2018 |
| Optical power dynamics in wavelength layer software defined networking D Kilper, M Bhopalwala, H Rastegarfar, W Mo Photonic Networks and Devices, NeT2F. 2, 2015 | 11 | 2015 |
| Real-time software-defined dynamic resource allocation using OpenFlow for next-generation OFDM-based optical access networks S Johnson, W Mo, M Cvijetic, J He, J Wissinger, AE Willner Optical Fiber Communication Conference, Tu2F. 5, 2014 | 10 | 2014 |
| Quality of transmission awareness in converged electronic and optical networks with OpenFlow W Mo, J He, MM Karbassian, J Wissinger, N Peyghambarian IEEE communications letters 17 (5), 1036-1039, 2013 | 10 | 2013 |
| Hysteresis-based margin allocation for adaptive coding in SDN-enabled optical networks Y Li, M Yang, W Mo, S Zhu, Z Qu, IB Djordjevic, DC Kilper 2018 Optical Fiber Communications Conference and Exposition (OFC), 1-3, 2018 | 9 | 2018 |
| Neural network transfer learning for quality of transmission prediction YK Huang, S Zhang, E Ip, W Mo US Patent 11,461,635, 2022 | 8 | 2022 |
Dan KilperTrinity College DublinDirección de correo verificada de tcd.ie
