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Huizhi Wang
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 11
Top Topics
Reinforcement Learning
Sparse Pca
Traffic Patterns
Network Traffic
Top Venues
IEEE Access
CoRR
GLOBECOM
ICC Workshops
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Publications
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Huizhi Wang
,
Zhiqiang Xiao
,
Yong Zeng
Cramér-Rao Bounds for Near-Field Sensing With Extremely Large-Scale MIMO.
IEEE Trans. Signal Process.
72 (2024)
Chaoyue Zhang
,
Zhiwen Zhou
,
Huizhi Wang
,
Yong Zeng
Integrated Super-Resolution Sensing and Communication with 5G NR Waveform: Signal Processing with Uneven CPs and Experiments: (Invited Paper).
WiOpt
(2023)
Huizhi Wang
,
Zhiqiang Xiao
,
Yong Zeng
Cramér-Rao Bounds for Near-Field Sensing with Extremely Large-Scale MIMO.
CoRR
(2023)
Huizhi Wang
,
Yong Zeng
Can Sparse Arrays Outperform Collocated Arrays for Future Wireless Communications?
CoRR
(2023)
Huizhi Wang
,
Yong Zeng
SNR Scaling Laws for Radio Sensing with Extremely Large-Scale MIMO.
ICC Workshops
(2022)
Laisen Nie
,
Zhaolong Ning
,
Mohammad S. Obaidat
,
Balqies Sadoun
,
Huizhi Wang
,
Shengtao Li
,
Lei Guo
,
Guoyin Wang
A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things.
IEEE Trans. Ind. Informatics
17 (3) (2021)
Laisen Nie
,
Huizhi Wang
,
Xin Jiang
,
Yi Guo
,
Shengtao Li
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks.
IEEE Access
8 (2020)
Huizhi Wang
,
Laisen Nie
,
Zhaolong Ning
,
Mohammad S. Obaidat
,
Runze Shang
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks.
GLOBECOM
(2019)
Laisen Nie
,
Huizhi Wang
,
Shimin Gong
,
Zhaolong Ning
,
Mohammad S. Obaidat
,
Kuei-Fang Hsiao
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.
GLOBECOM
(2019)
Yanheng Zhang
,
Xie Chen
,
Huizhi Wang
,
Lufeng Zhang
A Study on the Control of a Sensorless Pneumatic Joint Using Predictive Control Method.
IEEE Access
7 (2019)
Laisen Nie
,
Yixuan Wu
,
Huizhi Wang
,
Yongkang Li
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.
IEEE Access
7 (2019)