Yijing Liu

According to our database, Yijing Liu authored at least 36 papers between 2019 and 2025.

Collaborative distances:

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

2025

Context-Aware Semantic Communication for the Wireless Networks.

Guangyuan Liu, Yijing Liu, Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour

IEEE Wirel. Commun., October, 2025

Trusted Clustering Based Federated Learning in Edge Networks.

Yijing Liu, Long Zhang, Xiaoqian Li, Hongyang Du, Gang Feng, Shuang Qin, Jiacheng Wang

IEEE Trans. Mob. Comput., October, 2025

A Survey of Integrating Generative Artificial Intelligence and 6G Mobile Services: Architectures, Solutions, Technologies and Outlooks.

Yijing Liu, Hongyang Du, Xinyi Xu, Ruichen Zhang, Gang Feng, Bin Cao, Dusit Niyato, Dong In Kim, Abbas Jamalipour, Khaled Ben Letaief, Rahim Tafazolli

IEEE Trans. Cogn. Commun. Netw., June, 2025

Efficient Federated Learning in Wireless Networks With Incremental Model Quantization and Uploading.

Zheng Qin, Gang Feng, Yi-Jing Liu, Tak-Shing Peter Yum, Fei Wang, Jun Wang

IEEE Trans. Netw. Sci. Eng., 2025

Fine-Tuning Scheme for Enhancing Generalization Capability of Large Pre-Trained Models in Wireless Networks.

Yunxiang Wang, Gang Feng, Yijing Liu, Jianhong Zhou, Xinyi Xu

Proceedings of the IEEE International Conference on Communications, 2025

2024

Intelligent Beam Configuration for Neighbor Discovery in Ad Hoc Networks With Directional Antennas.

Jian Wang, Gang Feng, Shuang Qin, Yijing Liu, Jianhong Zhou, Youkun Peng, Yatong Wang, Long Zhang

IEEE Trans. Veh. Technol., December, 2024

Adaptive Clustering-Based Straggler-Aware Federated Learning in Wireless Edge Networks.

Yi-Jing Liu, Gang Feng, Hongyang Du, Zheng Qin, Yao Sun, Jiawen Kang, Xiaoqian Li, Dusit Niyato

IEEE Trans. Commun., December, 2024

Hierarchical Network Slicing for UAV-Assisted Wireless Networks With Deployment Optimization.

Fengsheng Wei, Gang Feng, Shuang Qin, Youkun Peng, Yijing Liu

IEEE J. Sel. Areas Commun., December, 2024

BIO-SD: A Blockchain-Empowered Intelligent Resource Management for Symbiotic Devices.

Runze Cheng, Yao Sun, Yijing Liu, Ying-Chang Liang, Muhammad Ali Imran

IEEE Trans. Veh. Technol., May, 2024

Joint UAV Deployment and Resource Allocation: A Personalized Federated Deep Reinforcement Learning Approach.

Xinyi Xu, Gang Feng, Shuang Qin, Yijing Liu, Yao Sun

IEEE Trans. Veh. Technol., March, 2024

Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study.

Yijing Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Yonggang Wen, Dong In Kim

CoRR, 2024

Straggler-Aware Federated Learning Based on Adaptive Clustering to Support Edge Intelligence.

Yi-Jing Liu, Gang Feng, Hongyang Du, Zheng Qin, Yao Sun, Jiawen Kang, Dusit Niyato

Proceedings of the IEEE International Conference on Communications, 2024

Hierarchical Network Slicing for Time-Varying UAV-assisted Wireless Networks: Dynamic Programming Beyond Distributed Learning.

Fengsheng Wei, Gang Feng, Shuang Qin, Youkun Peng, Yijing Liu

Proceedings of the 2024 IEEE Global Communications Conference, 2024

Incremental Model Quantization for Federated Learning in Wireless Networks.

Zheng Qin, Gang Feng, Yijing Liu, Xiaoqian Li, Fei Wang, Jun Wang

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Toward Secure Data Storage in Web 3.0: Ciphertext-Policy Attribute-Based Encryption.

Bei Gong, Chong Guo, Yi-Jing Liu, Qian Wang

IEEE Netw., November, 2023

A Unified Framework for Joint Sensing and Communication in Resource Constrained Mobile Edge Networks.

Xiaoqian Li, Gang Feng, Yao Sun, Shuang Qin, Yijing Liu

IEEE Trans. Mob. Comput., October, 2023

Slicing4Meta: An Intelligent Integration Architecture with Multi-Dimensional Network Resources for Metaverse-as-a-Service in Web 3.0.

Yi-Jing Liu, Hongyang Du, Dusit Niyato, Gang Feng, Jiawen Kang, Zehui Xiong

IEEE Commun. Mag., August, 2023

Ensemble Distillation Based Adaptive Quantization for Supporting Federated Learning in Wireless Networks.

Yijing Liu, Gang Feng, Dusit Niyato, Shuang Qin, Jianhong Zhou, Xiaoqian Li, Xinyi Xu

IEEE Trans. Wirel. Commun., June, 2023

Joint Sensing, Communication, and Computation in Mobile Crowdsensing Enabled Edge Networks.

Xiaoqian Li, Gang Feng, Yijing Liu, Shuang Qin, Zhongpei Zhang

IEEE Trans. Wirel. Commun., April, 2023

Beam Management in Ultra-Dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach.

Qing Xue, Yi-Jing Liu, Yao Sun, Jian Wang, Li Yan, Gang Feng, Shaodan Ma

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

Joint Multi-UAV Deployment and Resource Allocation Based on Personalized Federated Deep Reinforcement Learning.

Xinyi Xu, Gang Feng, Shuang Qin, Yijing Liu, Yao Sun

Proceedings of the IEEE International Conference on Communications, 2023

Intelligent Beam Configuration for Neighbor Discovery in Ad Hoc Networks with Directional Antennas.

Jian Wang, Gang Feng, Shuang Qin, Yi-Jing Liu, Jianhong Zhou, Youkun Peng

Proceedings of the IEEE International Conference on Communications, 2023

Intelligent Resource Management in Symbiotic Radio under a Trusted Coevolution.

Runze Cheng, Yao Sun, Lina S. Mohjazi, Yijing Liu, Ying-Chang Liang, Muhammad Ali Imran

Proceedings of the IEEE International Conference on Communications, 2023

2022

Resource Consumption for Supporting Federated Learning in Wireless Networks.

Yi-Jing Liu, Shuang Qin, Yao Sun, Gang Feng

IEEE Trans. Wirel. Commun., 2022

Blockchain-Empowered Federated Learning Approach for an Intelligent and Reliable D2D Caching Scheme.

Runze Cheng, Yao Sun, Yijing Liu, Le Xia, Daquan Feng, Muhammad Imran

IEEE Internet Things J., 2022

Slicing4Meta: An Intelligent Integration Framework with Multi-dimensional Network Resources for Metaverse-as-a-Service in Web 3.0.

Yi-Jing Liu, Hongyang Du, Dusit Niyato, Gang Feng, Jiawen Kang, Zehui Xiong

CoRR, 2022

Resource Consumption for Supporting Federated Learning Enabled Network Edge Intelligence.

Yi-Jing Liu, Gang Feng, Yao Sun, Xiaoqian Li, Jianhong Zhou, Shuang Qin

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Adaptive Quantization based on Ensemble Distillation to Support FL enabled Edge Intelligence.

Yi-Jing Liu, Shuang Qin, Gang Feng, Dusit Niyato, Yao Sun, Jianhong Zhou

Proceedings of the IEEE Global Communications Conference, 2022

Cooperative Date Sensing, Communication and Computation in Resource Constrained Mobile Crowdsensing.

Xiaoqian Li, Gang Feng, Yijing Liu, Long Zhang, Shuang Qin

Proceedings of the IEEE Global Communications Conference, 2022

A Joint Sensing and Communication Framework in Resource Constrained Mobile Edge Networks.

Xiaoqian Li, Gang Feng, Tingting Liu, Yao Sun, Shuang Qin, Yijing Liu

Proceedings of the IEEE Global Communications Conference, 2022

2021

Access Control for RAN Slicing based on Federated Deep Reinforcement Learning.

Yi-Jing Liu, Gang Feng, Jian Wang, Yao Sun, Shuang Qin

Proceedings of the ICC 2021, 2021

A Privacy-preserved D2D Caching Scheme Underpinned by Blockchain-enabled Federated Learning.

Runze Cheng, Yao Sun, Yijing Liu, Le Xia, Sanshan Sun, Muhammad Ali Imran

Proceedings of the IEEE Global Communications Conference, 2021

2020

Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning.

Yi-Jing Liu, Gang Feng, Yao Sun, Shuang Qin, Ying-Chang Liang

IEEE Trans. Veh. Technol., 2020

Virtual Network Function Deployment Strategy in Clustered Multi-Mobile Edge Clouds.

Yijing Liu, Gang Feng, Guanqun Zhao, Zhuo Chen, Shuang Qin

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Network Function Migration in Softwarization Based Networks with Mobile Edge Computing.

Yijing Liu, Gang Feng, Zhuo Chen, Shuang Qin, Guanqun Zhao

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Multi-Agent Reinforcement Learning Based Cooperative Content Caching for Mobile Edge Networks.

Wei Jiang, Gang Feng, Shuang Qin, Yijing Liu

IEEE Access, 2019