| Making intelligent topology design choices: understanding structural and physical property performance implications in optical networks R Matzner, D Semrau, R Luo, G Zervas, P Bayvel Journal of Optical Communications and Networking 13 (8), D53-D67, 2021 | 20 | 2021 |
| High-reliability sub-nanosecond network time synchronization method enabled by double-frequency distributed time synchronization R Luo, N Hua, X Zheng, B Zhou IEEE/OSA Journal of Optical Communications and Networking 11 (1), A40 - A51, 2019 | 14 | 2019 |
| A High-Reliability Sub-Nanosecond Network Time Synchronization Method Enabled by Double-Frequency Distributed Time Synchronization R Luo, N Hua, X Zheng, B Zhou 2018 Optical Fiber Communications Conference and Exposition (OFC), 1-3, 2018 | 14 | 2018 |
| Real-Time Rogue ONU Identification with 1D-CNN-based Optical Spectrum Analysis for Secure PON Y Li, N Hua, C Zhao, H Wang, R Luo, X Zheng 2019 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2019 | 11 | 2019 |
| Intelligent design of optical networks: which topology features help maximise throughput in the nonlinear regime? P Bayvel, R Luo, R Matzner, D Semrau, G Zervas 2020 European Conference on Optical Communications (ECOC), 1-4, 2020 | 10 | 2020 |
| Fast parallel lightpath re-optimization for space-division multiplexing optical networks based on time synchronization R Luo, N Hua, X Zheng, B Zhou Journal of Optical Communications and Networking 10 (1), A8-A19, 2018 | 10 | 2018 |
| In-service crosstalk monitoring, tracing and lightpath re-optimization for space-division multiplexing optical networks R Luo, N Hua, Y Yu, Y Jin, X Zheng, B Zhou Optics express 25 (24), 30428-30444, 2017 | 7 | 2017 |
| Achieving ultralow-latency optical interconnection for high performance computing (HPC) systems by joint allocation of computation and communication resources R Luo, Y Yu, N Hua, Z Zhong, J Li, X Zheng, B Zhou 2019 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2019 | 4 | 2019 |
| Throughput scaling for MMF-enabled optical datacenter networks by time-slicing-based crosstalk mitigation Z Zhong, N Hua, Y Yu, Z Wu, J Li, H Yan, S Li, R Luo, J Li, Y Li, X Zheng Optical Fiber Communication Conference, M2E. 5, 2018 | 4 | 2018 |
| Ultra-fast Optical Network Throughput Prediction using Graph Neural Networks R Matzner, R Luo, G Zervas, P Bayvel 2022 International Conference on Optical Network Design and Modeling (ONDM), 1-3, 2022 | 3 | 2022 |
| Towards a Traffic-Optimal Large-Scale Optical Network Topology Design R Luo, R Matzner, G Zervas, P Bayvel 2022 International Conference on Optical Network Design and Modeling (ONDM), 1-3, 2022 | 3 | 2022 |
| Crosstalk Tracing in Weakly-Coupled Short-Reach Mode-Division Multiplexing Optical Networks with Deep Learning R Luo, N Hua, Y Li, Z Zheng, Z Zhong, X Zheng, B Zhou CLEO: Science and Innovations, JTh2A. 78, 2019 | 3 | 2019 |
| Fast parallel lightpath re-optimization for crosstalk reduction in multi-core fiber networks R Luo, N Hua, Y Li, X Zheng, B Zhou Optical Fiber Communication Conference, W4F. 2, 2017 | 3 | 2017 |
| Latency constrained dynamic routing in optical transport networks for smart grid R Luo, N Hua, Z Liu, W Li, X Zheng, B Zhou Photonic Networks and Devices, JTu4A. 42, 2016 | 3 | 2016 |
| Exploring the relationship among traffic, topology, and throughput: towards a traffic-optimal optical network topology design R Luo, R Matzner, A Ottino, G Zervas, P Bayvel Journal of Optical Communications and Networking 15 (5), B1-B10, 2023 | 1 | 2023 |
| Message Passing: Towards Low-Complexity, Global Optimal Routing and Wavelength Assignment Solutions for Optical Networks R Luo, YZ Xu, R Matzner, G Zervas, D Saad, P Bayvel Optical Fiber Communication Conference, Th1F. 5, 2022 | 1 | 2022 |
| Fast-Reconfigurable Optical Interconnect Architecture Based on Time-Synchronized Node Coordination for High Performance Computing Y Yu, N Hua, Z Zhong, J Li, R Luo, Z Zheng, X Zheng Asia Communications and Photonics Conference, S4C. 6, 2017 | 1 | 2017 |
| Resource virtualization and universal routing architecture for heterogeneous optical networks X Chen, R Luo, N Hua, X Zheng, B Zhou 2015 14th International Conference on Optical Communications and Networks …, 2015 | 1 | 2015 |
| Intelligent performance inference: A graph neural network approach to modeling maximum achievable throughput in optical networks R Matzner, R Luo, G Zervas, P Bayvel APL Machine Learning 1 (2), 2023 | | 2023 |
| Expanding Graph Neural Networks for Ultra-Fast Optical Core Network Throughput Prediction to Large Node Scales R Matzner, R Luo, G Zervas, P Bayvel 2022 European Conference on Optical Communication (ECOC), 1-4, 2022 | | 2022 |
