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Peiyuan Gao
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 9
Top Topics
Fading Channels
Low Snr
Gaussian Process Regression
Phase Shift Keying
Top Venues
CoRR
IEEE Commun. Lett.
IEEE Trans. Veh. Technol.
J. Chem. Inf. Model.
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Publications
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Peiyuan Gao
,
Yongjian Li
,
Weihua Liu
,
Chaolun Yuan
,
Paul Tae Woo Lee
,
Shangsong Long
Impacts of digital technology innovation for social responsibility of platform enterprises on shareholder value.
Ind. Manag. Data Syst.
124 (5) (2024)
Haotian Xiu
,
Daizhong Yu
,
Peiyuan Gao
,
Lin Yang
An Enhanced System Model for Differential Spatial Modulation System Under Fast Fading Channels and a Corresponding DFDD Based Low- Complexity Detector.
IEEE Trans. Veh. Technol.
73 (2) (2024)
Shaodong Li
,
Peiyuan Gao
,
Yongzheng Chen
A Bilateral Teleoperation Strategy Augmented by EMGP-VH for Live-Line Maintenance Robot.
IEEE Trans. Hum. Mach. Syst.
54 (4) (2024)
Wenqian Chen
,
Peiyuan Gao
,
Panos Stinis
Physics-informed machine learning of the correlation functions in bulk fluids.
CoRR
(2023)
Haotian Xiu
,
Lin Yang
,
Daizhong Yu
,
Peiyuan Gao
,
Zhe Li
,
Qingping Song
,
Guangrong Yue
A DFDD Based Detector for Space-Time Block Coded Differential Spatial Modulation Under Time-Selective Channels.
IEEE Commun. Lett.
26 (2) (2022)
Yuxing Li
,
Peiyuan Gao
,
Bingzhao Tang
,
Yingmin Yi
,
Jianjun Zhang
Double Feature Extraction Method of Ship-Radiated Noise Signal Based on Slope Entropy and Permutation Entropy.
Entropy
24 (1) (2022)
Lin Yang
,
Haotian Xiu
,
Daizhong Yu
,
Peiyuan Gao
,
Guangrong Yue
Reordered Amplitude Phase Shift Keying Aided Differential Spatial Modulation: DFDD-Based Low-Complexity Detector and Performance Analysis Over Fading Channels.
IEEE Trans. Wirel. Commun.
21 (10) (2022)
Peiyuan Gao
,
Xiu Yang
,
Yu-Hang Tang
,
Muqing Zheng
,
Amity Anderson
,
Vijayakumar Murugesan
,
Aaron Hollas
,
Wei Wang
Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery.
CoRR
(2021)
Peiyuan Gao
,
Xiu Yang
,
Alexandre M. Tartakovsky
Learning Coarse-Grained Potentials for Binary Fluids.
J. Chem. Inf. Model.
60 (8) (2020)