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2020 – today
- 2024
[c17]Xianwei Cheng, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo:
HPC Systems with Reconfigurable Optical Networks: Performance and Energy Consumption Exploration. IPDPS (Workshops) 2024: 1- 2023
- [c16]Sandeep Kumar Singh, Che-Yu Liu, Roberto Proietti, S. J. Ben Yoo:
MAESTRO: MAke-bEfore-break StraTegy for Reconfiguration in Optical Datacenters. OFC 2023: 1-3 - [c15]Che-Yu Liu, David T. Neilson, Roland Ryf, S. J. Ben Yoo, Jesse E. Simsarian:
Modular Optical Nodes with Anylane Add-Drop for Spatial Division Multiplexed Networks. OFC 2023: 1-3 - 2022
- [j6]Xiaoliang Chen, Che-Yu Liu, Roberto Proietti, Zhaohui Li, S. J. Ben Yoo:
Automating Optical Network Fault Management with Machine Learning. IEEE Commun. Mag. 60(12): 88-94 (2022) - [j5]Che-Yu Liu, Xiaoliang Chen, Zhaohui Li, Roberto Proietti
, S. J. Ben Yoo:
SL-Hyper-FleX: a cognitive and flexible-bandwidth optical datacom network by self-supervised learning [Invited]. JOCN 14(2): A113-A121 (2022) - [c14]Xiaoliang Chen, Che-Yu Liu, Roberto Proietti, Shaoyi Chen, Zhaohui Li, S. J. Ben Yoo:
When Task Scheduling Meets Flexible-bandwidth Optical Interconnects: A Cross-layer Resource Orchestration Design. OFC 2022: 1-3 - [c13]Sandeep Kumar Singh, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo:
Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture. OFC 2022: 1-3 - [c12]Sandeep Kumar Singh, Che-Yu Liu, S. J. Ben Yoo, Roberto Proietti:
Machine-Learning-Aided Dynamic Reconfiguration in Optical DC/HPC Networks (Invited). ONDM 2022: 1-6 - 2021
- [j4]Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo:
Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited]. JOCN 13(4): B1-B11 (2021) - [j3]Xiaoliang Chen, Roberto Proietti, Marjan Fariborz, Che-Yu Liu, S. J. Ben Yoo:
Machine-learning-aided cognitive reconfiguration for flexible-bandwidth HPC and data center networks [Invited]. JOCN 13(6): C10-C20 (2021) - [j2]Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo:
A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks. IEEE J. Sel. Areas Commun. 39(9): 2878-2889 (2021) - [j1]Fatemehsadat Tabatabaeimehr, Marc Ruiz, Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo, Luis Velasco:
Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks. IEEE Trans. Netw. Serv. Manag. 18(3): 3633-3646 (2021) - [c11]Roberto Proietti, Che-Yu Liu, Xiaoliang Chen, S. J. Ben Yoo:
Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks. OFC 2021: 1-3 - [c10]Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, Zhaohui Li, S. J. Ben Yoo:
Reconfigurable Optical Datacom Networks by Self-supervised Learning. OptSys@SIGCOMM 2021: 23-27 - 2020
- [c9]Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, Zuqing Zhu, S. J. Ben Yoo:
Exploiting Multi-Task Learning to Achieve Effective Transfer Deep Reinforcement Learning in Elastic Optical Networks. OFC 2020: 1-3 - [c8]Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, S. J. Ben Yoo:
Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks. OFC 2020: 1-3 - [c7]Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo:
Towards Self-Driving Optical Networking with Reinforcement Learning and Knowledge Transferring. ONDM 2020: 1-3
2010 – 2019
- 2018
- [b1]Che-Yu Liu:
Thompson Sampling for Bandit Problems. Princeton University, USA, 2018 - 2016
- [c6]Che-Yu Liu, Lihong Li:
On the Prior Sensitivity of Thompson Sampling. ALT 2016: 321-336 - 2015
- [i3]Che-Yu Liu, Lihong Li:
On the Prior Sensitivity of Thompson Sampling. CoRR abs/1506.03378 (2015) - 2014
- [c5]Sébastien Bubeck, Che-Yu Liu:
Prior-free and prior-dependent regret bounds for Thompson Sampling. CISS 2014: 1-9 - [c4]Che-Yu Liu, Sébastien Bubeck:
Most Correlated Arms Identification. COLT 2014: 623-637 - [i2]Che-Yu Liu, Sébastien Bubeck:
Most Correlated Arms Identification. CoRR abs/1404.5903 (2014) - 2013
- [c3]Sébastien Bubeck, Che-Yu Liu:
Prior-free and prior-dependent regret bounds for Thompson Sampling. NIPS 2013: 638-646 - [i1]Sébastien Bubeck, Che-Yu Liu:
A note on the Bayesian regret of Thompson Sampling with an arbitrary prior. CoRR abs/1304.5758 (2013) - 2011
- [c2]Che-Yu Liu, Isaac Woungang, Han-Chieh Chao, Sanjay K. Dhurandher, Ting-Yun Chi, Mohammad S. Obaidat:
Message Security in Multi-Path Ad Hoc Networks Using a Neural Network-Based Cipher. GLOBECOM 2011: 1-5
2000 – 2009
- 2008
- [c1]Po-Yuan Chen, Che-Yu Liu, TingTing Hwang:
Transition-aware decoupling-capacitor allocation in power noise reduction. ICCAD 2008: 426-429
Coauthor Index
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