Transition-aware decoupling-capacitor allocation in power noise reduction. - Po-Yuan Chen; Che-Yu Liu; TingTing Hwang (ICCAD, 2008)

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 (GLOBECOM, 2011)

Prior-free and prior-dependent regret bounds for Thompson Sampling. - Sébastien Bubeck; Che-Yu Liu (NIPS, 2013)

A note on the Bayesian regret of Thompson Sampling with an arbitrary prior - Sébastien Bubeck; Che-Yu Liu (CoRR, 2013)

Most Correlated Arms Identification. - Che-Yu Liu; Sébastien Bubeck (COLT, 2014)

On the Prior Sensitivity of Thompson Sampling. - Che-Yu Liu; Lihong Li 001 (ALT, 2016)

Thompson Sampling for Bandit Problems - Che-Yu Liu (2018)

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 (OFC, 2020)

Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks. - Che-Yu Liu; Xiaoliang Chen; Roberto Proietti; S. J. Ben Yoo (OFC, 2020)

Towards Self-Driving Optical Networking with Reinforcement Learning and Knowledge Transferring. - Xiaoliang Chen; Roberto Proietti; Che-Yu Liu; S. J. Ben Yoo (ONDM, 2020)

Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks. - Roberto Proietti; Che-Yu Liu; Xiaoliang Chen; S. J. Ben Yoo (OFC, 2021)

Reconfigurable Optical Datacom Networks by Self-supervised Learning. - Che-Yu Liu; Xiaoliang Chen; Roberto Proietti; Zhaohui Li; S. J. Ben Yoo (OptSys@SIGCOMM, 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)

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)

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)

Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks. - Fatemehsadat Tabatabaeimehr; Marc Ruiz 001; Che-Yu Liu; Xiaoliang Chen; Roberto Proietti; S. J. Ben Yoo; Luis Velasco 001 (IEEE Trans. Netw. Serv. Manag., 2021)

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 (OFC, 2022)

Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture. - Sandeep Kumar Singh 002; Roberto Proietti; Che-Yu Liu; S. J. Ben Yoo (OFC, 2022)

Machine-Learning-Aided Dynamic Reconfiguration in Optical DC/HPC Networks (Invited). - Sandeep Kumar Singh 002; Che-Yu Liu; S. J. Ben Yoo; Roberto Proietti (ONDM, 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)

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)

MAESTRO: MAke-bEfore-break StraTegy for Reconfiguration in Optical Datacenters. - Sandeep Kumar Singh 002; Che-Yu Liu; Roberto Proietti; S. J. Ben Yoo (OFC, 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 (OFC, 2023)

HPC Systems with Reconfigurable Optical Networks: Performance and Energy Consumption Exploration. - Xianwei Cheng; Che-Yu Liu; Roberto Proietti; S. J. Ben Yoo (IPDPS (Workshops), 2024)

Mitigating Deadtime Nonlinear Effect in SVPWM Using Variable DC-Link Voltage for High Switching Frequency SiC Motor Drives. - David Lwo; Min-Fu Hsieh; Yu Tsai; Jun-Lin Wu; Che-Yu Liu; Hsiang-An Chung (IAS, 2025)

Deep reinforcement learning-aided multi-step job scheduling in optical data center networks. - Che-Yu Liu; Xiaoliang Chen; Roberto Proietti; Zuqing Zhu; S. J. Ben Yoo (J. Opt. Commun. Netw., 2025)