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Robust Self-Learning Physical Layer Abstraction Utilizing Optical Performance Monitoring and Markov Chain Monte Carlo., , , , , , and . ECOC, page 1-3. IEEE, (2017)Hardware programmable SDM/WDM ROADM., , , , , , , and . OFC, page 1-3. IEEE, (2017)Hardware-programmable optical networks., , , , and . Sci. China Inf. Sci., 59 (10): 102301:1-102301:12 (2016)Multilayer Network Analytics With SDN-Based Monitoring Framework., , , , , and . JOCN, 9 (2): A271-A279 (2017)Field Trial of Gaussian Process Learning of Function-Agnostic Channel Performance Under Uncertainty., , , , , , , , and . OFC, page 1-3. IEEE, (2018)Location-Aware Energy Efficient Virtual Network Embedding in Software-Defined Optical Data Center Networks., , , , , , , and . JOCN, 10 (7): B58-B70 (2018)Operator Trial of 100 Gbit/s FLCS-PON Prototype with Probabilistic Shaping and Soft-Input FEC., , , , , , , , , and 6 other author(s). ECOC, page 1-4. IEEE, (2021)Coordinated Fibre Span Power Optimisation and ROADM Input Power Management Strategy for Optical Networks., , , , , , , and . ECOC, page 1-3. IEEE, (2018)Demonstration of an SDN based monitoring framework for converged packet and optical networks analytics., , , , and . OFC, page 1-3. IEEE, (2016)Field Trial of Monitoring On-Demand at Intermediate-Nodes Through Bayesian Optimization., , , , , , , , and . OFC, page 1-3. IEEE, (2018)