Che-Yu Liu

29 papers A* 1A 1B 2C 1Misc 1Journal 10Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep reinforcement learning-aided multi-step job scheduling in optical data center networks.
J. Opt. Commun. Netw.
Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, Zuqing Zhu, S. J. Ben Yoo
2025 C conf
Mitigating Deadtime Nonlinear Effect in SVPWM Using Variable DC-Link Voltage for High Switching Frequency SiC Motor Drives.
IAS
David Lwo, Min-Fu Hsieh, Yu Tsai, Jun-Lin Wu, Che-Yu Liu, Hsiang-An Chung
2024 — conf
HPC Systems with Reconfigurable Optical Networks: Performance and Energy Consumption Exploration.
IPDPS (Workshops)
Xianwei Cheng, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo
2023 — conf
MAESTRO: MAke-bEfore-break StraTegy for Reconfiguration in Optical Datacenters.
OFC
Sandeep Kumar Singh, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo
2023 — conf
Modular Optical Nodes with Anylane Add-Drop for Spatial Division Multiplexed Networks.
OFC
Che-Yu Liu, David T. Neilson, Roland Ryf, S. J. Ben Yoo, Jesse E. Simsarian
2022 J jnl
Automating Optical Network Fault Management with Machine Learning.
IEEE Commun. Mag.
Xiaoliang Chen, Che-Yu Liu, Roberto Proietti, Zhaohui Li, S. J. Ben Yoo
2022 — conf
Machine-Learning-Aided Dynamic Reconfiguration in Optical DC/HPC Networks (Invited).
ONDM
Sandeep Kumar Singh, Che-Yu Liu, S. J. Ben Yoo, Roberto Proietti
2022 — conf
Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture.
OFC
Sandeep Kumar Singh, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo
2022 J jnl
SL-Hyper-FleX: a cognitive and flexible-bandwidth optical datacom network by self-supervised learning [Invited].
JOCN
Che-Yu Liu, Xiaoliang Chen, Zhaohui Li, Roberto Proietti, S. J. Ben Yoo
2022 — conf
When Task Scheduling Meets Flexible-bandwidth Optical Interconnects: A Cross-layer Resource Orchestration Design.
OFC
Xiaoliang Chen, Che-Yu Liu, Roberto Proietti, Shaoyi Chen, Zhaohui Li, S. J. Ben Yoo
2021 J jnl
A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks.
IEEE J. Sel. Areas Commun.
Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo
2021 J jnl
Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks.
IEEE Trans. Netw. Serv. Manag.
Fatemehsadat Tabatabaeimehr, Marc Ruiz, Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo, Luis Velasco
2021 — conf
Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks.
OFC
Roberto Proietti, Che-Yu Liu, Xiaoliang Chen, S. J. Ben Yoo
2021 J jnl
Machine-learning-aided cognitive reconfiguration for flexible-bandwidth HPC and data center networks [Invited].
JOCN
Xiaoliang Chen, Roberto Proietti, Marjan Fariborz, Che-Yu Liu, S. J. Ben Yoo
2021 J jnl
Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited].
JOCN
Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo
2021 — conf
Reconfigurable Optical Datacom Networks by Self-supervised Learning.
OptSys@SIGCOMM
Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, Zhaohui Li, S. J. Ben Yoo
2020 — conf
Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks.
OFC
Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo
2020 — conf
Exploiting Multi-Task Learning to Achieve Effective Transfer Deep Reinforcement Learning in Elastic Optical Networks.
OFC
Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, Zuqing Zhu, S. J. Ben Yoo
2020 — conf
Towards Self-Driving Optical Networking with Reinforcement Learning and Knowledge Transferring.
ONDM
Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo
2018 — —
Thompson Sampling for Bandit Problems
Che-Yu Liu
2016 B conf
On the Prior Sensitivity of Thompson Sampling.
ALT
Che-Yu Liu, Lihong Li
2015 J jnl
On the Prior Sensitivity of Thompson Sampling.
CoRR
Che-Yu Liu, Lihong Li
2014 A* conf
Most Correlated Arms Identification.
COLT
Che-Yu Liu, Sébastien Bubeck
2014 J jnl
Most Correlated Arms Identification.
CoRR
Che-Yu Liu, Sébastien Bubeck
2014 Misc conf
Prior-free and prior-dependent regret bounds for Thompson Sampling.
CISS
Sébastien Bubeck, Che-Yu Liu
2013 J jnl
A note on the Bayesian regret of Thompson Sampling with an arbitrary prior
CoRR
Sébastien Bubeck, Che-Yu Liu
2013 — conf
Prior-free and prior-dependent regret bounds for Thompson Sampling.
NIPS
Sébastien Bubeck, Che-Yu Liu
2011 B conf
Message Security in Multi-Path Ad Hoc Networks Using a Neural Network-Based Cipher.
GLOBECOM
Che-Yu Liu, Isaac Woungang, Han-Chieh Chao, Sanjay K. Dhurandher, Ting-Yun Chi, Mohammad S. Obaidat
2008 A conf
Transition-aware decoupling-capacitor allocation in power noise reduction.
ICCAD
Po-Yuan Chen, Che-Yu Liu, TingTing Hwang