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Shengli Liu
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 10
Top Topics
Resource Allocation
Ultra Wideband
Cluster Head
Past Observations
Top Venues
IEEE Trans. Wirel. Commun.
IEEE Trans. Veh. Technol.
ICC
GLOBECOM (Workshops)
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Publications
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Guangyao Ding
,
Shengli Liu
,
Jiantao Yuan
,
Guanding Yu
Joint URLLC Traffic Scheduling and Resource Allocation for Semantic Communication Systems.
IEEE Trans. Wirel. Commun.
23 (7) (2024)
Chao Chen
,
Bohang Jiang
,
Shengli Liu
,
Chuanhuang Li
,
Celimuge Wu
,
Rui Yin
Efficient Federated Learning in Resource-Constrained Edge Intelligence Networks Using Model Compression.
IEEE Trans. Veh. Technol.
73 (2) (2024)
Shengli Liu
,
Guanding Yu
,
Rui Yin
,
Jiantao Yuan
,
Fengzhong Qu
Communication and Computation Efficient Federated Learning for Internet of Vehicles With a Constrained Latency.
IEEE Trans. Veh. Technol.
73 (1) (2024)
Xinyi Xu
,
Guanding Yu
,
Shengli Liu
Adaptive Modulation for Wireless Federated Edge Learning.
IEEE Trans. Cogn. Commun. Netw.
9 (4) (2023)
Chonghe Liu
,
Shengli Liu
,
Guanding Yu
Spectrum Requirement Prediction for Future WLAN based IoT Applications.
ICCC Workshops
(2023)
Shengli Liu
,
Guanding Yu
,
Dingzhu Wen
,
Xianfu Chen
,
Mehdi Bennis
,
Hongyang Chen
Communication and Energy Efficient Decentralized Learning Over D2D Networks.
IEEE Trans. Wirel. Commun.
22 (12) (2023)
Chonghe Liu
,
Shengli Liu
,
Dingzhu Wen
,
Guanding Yu
Adaptive Cluster Head Selection and Spectrum Allocation for D2D-Enabled Collaborative Learning.
GLOBECOM (Workshops)
(2023)
Chao Chen
,
Bohang Jiang
,
Shengli Liu
,
Chuanhuang Li
,
Celimuge Wu
,
Rui Yin
Efficient Federated Learning using Random Pruning in Resource-Constrained Edge Intelligence Networks.
GLOBECOM
(2023)
Shengli Liu
,
Guanding Yu
,
Xianfu Chen
,
Mehdi Bennis
Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning with Non-IID Data.
ICC
(2022)
Shengli Liu
,
Guanding Yu
,
Xianfu Chen
,
Mehdi Bennis
Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data.
IEEE Trans. Wirel. Commun.
21 (10) (2022)