Che-Yu Liu

Orcid: 0000-0001-8997-9988

According to our database1, Che-Yu Liu authored at least 24 papers between 2008 and 2024.

Collaborative distances:

Timeline

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On csauthors.net:

Bibliography

2024
HPC Systems with Reconfigurable Optical Networks: Performance and Energy Consumption Exploration.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023
Modular Optical Nodes with Anylane Add-Drop for Spatial Division Multiplexed Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

MAESTRO: MAke-bEfore-break StraTegy for Reconfiguration in Optical Datacenters.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

2022
SL-Hyper-FleX: a cognitive and flexible-bandwidth optical datacom network by self-supervised learning [Invited].
JOCN, 2022

Automating Optical Network Fault Management with Machine Learning.
IEEE Commun. Mag., 2022

Machine-Learning-Aided Dynamic Reconfiguration in Optical DC/HPC Networks (Invited).
Proceedings of the International Conference on Optical Network Design and Modeling, 2022

Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

When Task Scheduling Meets Flexible-bandwidth Optical Interconnects: A Cross-layer Resource Orchestration Design.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021
Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks.
IEEE Trans. Netw. Serv. Manag., 2021

A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks.
IEEE J. Sel. Areas Commun., 2021

Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited].
JOCN, 2021

Machine-learning-aided cognitive reconfiguration for flexible-bandwidth HPC and data center networks [Invited].
JOCN, 2021

Reconfigurable Optical Datacom Networks by Self-supervised Learning.
Proceedings of the OptSys '21: Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems, 2021

Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020
Towards Self-Driving Optical Networking with Reinforcement Learning and Knowledge Transferring.
Proceedings of the 2020 International Conference on Optical Network Design and Modeling, 2020

Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Exploiting Multi-Task Learning to Achieve Effective Transfer Deep Reinforcement Learning in Elastic Optical Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

2018
Thompson Sampling for Bandit Problems
PhD thesis, 2018

2016
On the Prior Sensitivity of Thompson Sampling.
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

2014
Most Correlated Arms Identification.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
A note on the Bayesian regret of Thompson Sampling with an arbitrary prior
CoRR, 2013

Prior-free and prior-dependent regret bounds for Thompson Sampling.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2011
Message Security in Multi-Path Ad Hoc Networks Using a Neural Network-Based Cipher.
Proceedings of the Global Communications Conference, 2011

2008
Transition-aware decoupling-capacitor allocation in power noise reduction.
Proceedings of the 2008 International Conference on Computer-Aided Design, 2008


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