Che-Yu Liu

According to our database, Che-Yu Liu authored at least 22 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Modular Optical Nodes with Anylane Add-Drop for Spatial Division Multiplexed Networks.

Che-Yu Liu, David T. Neilson, Roland Ryf, S. J. Ben Yoo, Jesse E. Simsarian

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

MAESTRO: MAke-bEfore-break StraTegy for Reconfiguration in Optical Datacenters.

Sandeep Kumar Singh, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo

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].

Che-Yu Liu, Xiaoliang Chen, Zhaohui Li, Roberto Proietti, S. J. Ben Yoo

JOCN, 2022

Automating Optical Network Fault Management with Machine Learning.

Xiaoliang Chen, Che-Yu Liu, Roberto Proietti, Zhaohui Li, S. J. Ben Yoo

IEEE Commun. Mag., 2022

Machine-Learning-Aided Dynamic Reconfiguration in Optical DC/HPC Networks (Invited).

Sandeep Kumar Singh, Che-Yu Liu, S. J. Ben Yoo, Roberto Proietti

Proceedings of the International Conference on Optical Network Design and Modeling, 2022

Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture.

Sandeep Kumar Singh, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

When Task Scheduling Meets Flexible-bandwidth Optical Interconnects: A Cross-layer Resource Orchestration Design.

Xiaoliang Chen, Che-Yu Liu, Roberto Proietti, Shaoyi Chen, Zhaohui Li, S. J. Ben Yoo

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021

Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks.

Fatemehsadat Tabatabaeimehr, Marc Ruiz, Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo, Luis Velasco

IEEE Trans. Netw. Serv. Manag., 2021

A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks.

Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo

IEEE J. Sel. Areas Commun., 2021

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

Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo

JOCN, 2021

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

Xiaoliang Chen, Roberto Proietti, Marjan Fariborz, Che-Yu Liu, S. J. Ben Yoo

JOCN, 2021

Reconfigurable Optical Datacom Networks by Self-supervised Learning.

Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, Zhaohui Li, S. J. Ben Yoo

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.

Roberto Proietti, Che-Yu Liu, Xiaoliang Chen, S. J. Ben Yoo

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020

Towards Self-Driving Optical Networking with Reinforcement Learning and Knowledge Transferring.

Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo

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.

Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo

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.

Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, Zuqing Zhu, S. J. Ben Yoo

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

2016

On the Prior Sensitivity of Thompson Sampling.

Che-Yu Liu, Lihong Li

Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

2014

Most Correlated Arms Identification.

Che-Yu Liu, Sébastien Bubeck

Proceedings of The 27th Conference on Learning Theory, 2014

2013

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

Sébastien Bubeck, Che-Yu Liu

CoRR, 2013

Prior-free and prior-dependent regret bounds for Thompson Sampling.

Sébastien Bubeck, Che-Yu Liu

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.

Che-Yu Liu, Isaac Woungang, Han-Chieh Chao, Sanjay K. Dhurandher, Ting-Yun Chi, Mohammad S. Obaidat

Proceedings of the Global Communications Conference, 2011

2008

Transition-aware decoupling-capacitor allocation in power noise reduction.

Po-Yuan Chen, Che-Yu Liu, TingTing Hwang

Proceedings of the 2008 International Conference on Computer-Aided Design, 2008