| Building a digital twin for intelligent optical networks Q Zhuge, X Liu, Y Zhang, M Cai, Y Liu, Q Qiu, X Zhong, J Wu, R Gao, L Yi, ... Journal of Optical Communications and Networking 15 (8), C242-C262, 2023 | 38 | 2023 |
| Machine-learning-based telemetry for monitoring long-haul optical transmission impairments: methodologies and challenges H Lun, X Liu, M Cai, Y Zhang, R Gao, W Hu, L Yi, Q Zhuge Journal of Optical Communications and Networking 13 (10), E94-E108, 2021 | 23 | 2021 |
| A GAN based soft failure detection and identification framework for long-haul coherent optical communication systems H Lun, M Fu, Y Zhang, H Jiang, L Yi, W Hu, Q Zhuge Journal of Lightwave Technology 41 (8), 2312-2322, 2023 | 15 | 2023 |
| Modeling EDFA gain: approaches and challenges Y Liu, X Liu, L Liu, Y Zhang, M Cai, L Yi, W Hu, Q Zhuge Photonics 8 (10), 417, 2021 | 15 | 2021 |
| Raman pump optimization for maximizing capacity of C+ L optical transmission systems Y Zhang, X Liu, R Gao, L Yi, W Hu, Q Zhuge Journal of Lightwave Technology 40 (24), 7814-7825, 2022 | 13 | 2022 |
| Fusing physics to fiber nonlinearity model for optical networks based on physics-guided neural networks X Liu, Y Fan, Y Zhang, M Cai, L Liu, L Yi, W Hu, Q Zhuge Journal of Lightwave Technology 40 (17), 5793-5802, 2022 | 12 | 2022 |
| A meta-learning-assisted training framework for physical layer modeling in optical networks X Liu, H Lun, L Liu, Y Zhang, Y Liu, L Yi, W Hu, Q Zhuge Journal of Lightwave Technology 40 (9), 2684-2695, 2022 | 10 | 2022 |
| AI-driven digital twin for optical networks Q Zhuge European Conference and Exhibition on Optical Communication, Mo3A. 1, 2022 | 9 | 2022 |
| Building a digital twin of an EDFA for optical networks: a gray-box modeling approach Y Liu, X Liu, Y Zhang, M Cai, M Fu, X Zhong, L Yi, W Hu, Q Zhuge Journal of Optical Communications and Networking 15 (11), 830-838, 2023 | 6 | 2023 |
| Auto-DTWave: digital twin-aided autonomous optical network operation with continuous wavelength loading X Liu, Q Qiu, Y Zhang, M Cai, Y Liu, L Yi, W Hu, Q Zhuge 2024 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2024 | 5 | 2024 |
| A grey-box model for estimating nonlinear SNR in optical networks based on physics-guided neural networks X Liu, L Liu, H Lun, Y Zhang, L Yi, W Hu, Q Zhuge 2021 Asia Communications and Photonics Conference (ACP), 1-3, 2021 | 5 | 2021 |
| Physics-informed EDFA gain model based on active learning X Liu, Y Chen, Y Zhang, Y Liu, L Yi, W Hu, Q Zhuge arXiv preprint arXiv:2206.06077, 2022 | 4 | 2022 |
| C-band to multi-band network upgrade by a multi-objective evolutionary algorithm-based optimization framework R Gao, Y Zhang, X Liu, M Chen, F Li, L Yi, W Hu, Q Zhuge 2022 European Conference on Optical Communication (ECOC), 1-4, 2022 | 3 | 2022 |
| Improved physics-based Raman amplifier model in C+ L networks through input parameter refinement Y Zhang, X Liu, Q Qiu, Y Liu, L Yi, W Hu, Q Zhuge 2024 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2024 | 2 | 2024 |
| SMOF: simultaneous modeling and optimization framework for Raman amplifiers in C+ L-band optical networks X Liu, Y Zhang, M Cai, Y Liu, L Yi, W Hu, Q Zhuge Journal of Lightwave Technology 42 (9), 3174-3183, 2024 | 2 | 2024 |
| Online simultaneous modeling and gain profile optimization for multi-pump Raman amplifiers in C+ L-band optical systems X Liu, Y Zhang, Y Liu, M Cai, L Yi, W Hu, Q Zhuge IET Conference Proceedings CP839 2023 (34), 448-451, 2023 | 2 | 2023 |
| Heuristic-based optimization framework for customizable design of long-haul data center interconnect networks R Gao, Y Zhang, X Liu, M Chen, F Li, X Li, L Yi, W Hu, Q Zhuge Journal of Optical Communications and Networking 14 (11), 924-933, 2022 | 2 | 2022 |
| Fusion of physics and AI for building self-driving optical networks X Liu, Y Zhang, M Cai, L Yi, W Hu, Q Zhuge Photonic Networks and Devices, NeW2D. 1, 2022 | 1 | 2022 |
| A grey-box launch-profile aware model for C+ L band Raman amplification Y Zhang, X Liu, Y Liu, L Yi, W Hu, Q Zhuge arXiv preprint arXiv:2206.12416, 2022 | 1 | 2022 |
| A meta-learning-assisted training framework with confidence interval for optical network modeling Q Qiu, X Liu, Y Zhang, L Yi, W Hu, Q Zhuge Photonic Networks and Devices, NeF2B. 1, 2021 | 1 | 2021 |
Qunbi ZhugeShanghai Jiao Tong UniversityZweryfikowany adres z sjtu.edu.cn