Shengli Liu

Orcid: 0000-0001-6266-1419

Affiliations:
  • Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
  • Soochow University, Suzhou, China (former)


According to our database1, Shengli Liu authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Communication Efficient Decentralized Learning Over D2D Network: Adaptive Relay Selection and Resource Allocation.
IEEE Wirel. Commun. Lett., September, 2024

Joint URLLC Traffic Scheduling and Resource Allocation for Semantic Communication Systems.
IEEE Trans. Wirel. Commun., July, 2024

Communication and Computation Efficient Federated Learning for Internet of Vehicles With a Constrained Latency.
IEEE Trans. Veh. Technol., January, 2024

Efficient Federated Learning in Resource-Constrained Edge Intelligence Networks Using Model Compression.
IEEE Trans. Veh. Technol., 2024

Learning-Enabled Radar-Assisted Predictive Beamforming for UAV-Aided Networks.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Communication and Energy Efficient Decentralized Learning Over D2D Networks.
IEEE Trans. Wirel. Commun., December, 2023

Adaptive Modulation for Wireless Federated Edge Learning.
IEEE Trans. Cogn. Commun. Netw., August, 2023

Spectrum Requirement Prediction for Future WLAN based IoT Applications.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Adaptive Cluster Head Selection and Spectrum Allocation for D2D-Enabled Collaborative Learning.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Efficient Federated Learning using Random Pruning in Resource-Constrained Edge Intelligence Networks.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data.
IEEE Trans. Wirel. Commun., 2022

Joint Model Pruning and Device Selection for Communication-Efficient Federated Edge Learning.
IEEE Trans. Commun., 2022

Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning with Non-IID Data.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Coexistence algorithms for LTE and WiFi networks in unlicensed spectrum: performance optimization and comparison.
Wirel. Networks, 2021

Adaptive Network Pruning for Wireless Federated Learning.
IEEE Wirel. Commun. Lett., 2021

Decentralized Radio Resource Adaptation in D2D-U Networks.
IEEE Internet Things J., 2021

Adaptive Modulation for Wireless Federated Learning.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

2020
Semi-Distributed Joint Power and Spectrum Allocation for LAA Based Small Cell Networks.
IEEE Trans. Wirel. Commun., 2020

Power Allocation for Full-Duplex Communication Systems Based on Deep Deterministic Policy Gradient.
Proceedings of the IEEE Globecom Workshops, 2020

Adaptive Batchsize Selection and Gradient Compression for Wireless Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Hybrid Adaptive Channel Access for LTE-U Systems.
IEEE Trans. Veh. Technol., 2019

Novel Channel Access Mechanism for LTE and WiFi Coexistence.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018
Bidirectional Mobile Offloading in LTE-U and WiFi Coexistence Systems.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018


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