Shengli Liu

According to our database, Shengli Liu authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Communication and Computation Efficient Federated Learning for Internet of Vehicles With a Constrained Latency.

Shengli Liu, Guanding Yu, Rui Yin, Jiantao Yuan, Fengzhong Qu

IEEE Trans. Veh. Technol., January, 2024

Efficient Federated Learning in Resource-Constrained Edge Intelligence Networks Using Model Compression.

Chao Chen, Bohang Jiang, Shengli Liu, Chuanhuang Li, Celimuge Wu, Rui Yin

IEEE Trans. Veh. Technol., 2024

2023

Communication and Energy Efficient Decentralized Learning Over D2D Networks.

Shengli Liu, Guanding Yu, Dingzhu Wen, Xianfu Chen, Mehdi Bennis, Hongyang Chen

IEEE Trans. Wirel. Commun., December, 2023

Adaptive Modulation for Wireless Federated Edge Learning.

Xinyi Xu, Guanding Yu, Shengli Liu

IEEE Trans. Cogn. Commun. Netw., August, 2023

Spectrum Requirement Prediction for Future WLAN based IoT Applications.

Chonghe Liu, Shengli Liu, Guanding Yu

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Adaptive Cluster Head Selection and Spectrum Allocation for D2D-Enabled Collaborative Learning.

Chonghe Liu, Shengli Liu, Dingzhu Wen, Guanding Yu

Proceedings of the IEEE Globecom Workshops 2023, 2023

Efficient Federated Learning using Random Pruning in Resource-Constrained Edge Intelligence Networks.

Chao Chen, Bohang Jiang, Shengli Liu, Chuanhuang Li, Celimuge Wu, Rui Yin

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.

Shengli Liu, Guanding Yu, Xianfu Chen, Mehdi Bennis

IEEE Trans. Wirel. Commun., 2022

Joint Model Pruning and Device Selection for Communication-Efficient Federated Edge Learning.

Shengli Liu, Guanding Yu, Rui Yin, Jiantao Yuan, Lei Shen, Chonghe Liu

IEEE Trans. Commun., 2022

Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning with Non-IID Data.

Shengli Liu, Guanding Yu, Xianfu Chen, Mehdi Bennis

Proceedings of the IEEE International Conference on Communications, 2022

2021

Coexistence algorithms for LTE and WiFi networks in unlicensed spectrum: performance optimization and comparison.

Jiaqi Zhang, Shengli Liu, Rui Yin, Guanding Yu, Xinyu Jin

Wirel. Networks, 2021

Adaptive Network Pruning for Wireless Federated Learning.

Shengli Liu, Guanding Yu, Rui Yin, Jiantao Yuan

IEEE Wirel. Commun. Lett., 2021

Decentralized Radio Resource Adaptation in D2D-U Networks.

Rui Yin, Zheyi Wu, Shengli Liu, Celimuge Wu, Jiantao Yuan, Xianfu Chen

IEEE Internet Things J., 2021

Adaptive Modulation for Wireless Federated Learning.

Xinyi Xu, Guanding Yu, Shengli Liu

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.

Rui Yin, Shengli Liu, Guanding Yu, Yanqiong Zhang, Qimei Chen

IEEE Trans. Wirel. Commun., 2020

Power Allocation for Full-Duplex Communication Systems Based on Deep Deterministic Policy Gradient.

Jin Qu, Congliang Zhu, Shengli Liu, Guanding Yu, Rui Yin

Proceedings of the IEEE Globecom Workshops, 2020

Adaptive Batchsize Selection and Gradient Compression for Wireless Federated Learning.

Shengli Liu, Guanding Yu, Rui Yin, Jiantao Yuan, Fengzhong Qu

Proceedings of the IEEE Global Communications Conference, 2020

2019

Hybrid Adaptive Channel Access for LTE-U Systems.

Shengli Liu, Rui Yin, Guanding Yu

IEEE Trans. Veh. Technol., 2019

Novel Channel Access Mechanism for LTE and WiFi Coexistence.

Jiaqi Zhang, Shengli Liu, Rui Yin, Zhenzhou Tang, Guanding Yu

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018

Bidirectional Mobile Offloading in LTE-U and WiFi Coexistence Systems.

Shengli Liu, Jiaqi Zhang, Qimei Chen, Guanding Yu

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018