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ORCIDYijing Liu 0001
Person information
- affiliation: University of Electronic Science and Technology of China, UESTC, Yangtze Delta Region Institute, National Key Laboratory of Science and Technology on Communications, Chengdu, China
Other persons with the same name
- Yijing Liu — disambiguation page
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Journal Articles
- 2024
[j12]Xinyi Xu
, Gang Feng, Shuang Qin, Yijing Liu, Yao Sun:
Joint UAV Deployment and Resource Allocation: A Personalized Federated Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 73(3): 4005-4018 (2024)- [j11]Runze Cheng, Yao Sun, Yijing Liu, Ying-Chang Liang, Muhammad Ali Imran:
BIO-SD: A Blockchain-Empowered Intelligent Resource Management for Symbiotic Devices. IEEE Trans. Veh. Technol. 73(5): 6517-6529 (2024) - 2023
- [j10]Yi-Jing Liu, Hongyang Du, Dusit Niyato, Gang Feng, Jiawen Kang, Zehui Xiong:
Slicing4Meta: An Intelligent Integration Architecture with Multi-Dimensional Network Resources for Metaverse-as-a-Service in Web 3.0. IEEE Commun. Mag. 61(8): 20-26 (2023) - [j9]Bei Gong, Chong Guo, Yi-Jing Liu, Qian Wang:
Toward Secure Data Storage in Web 3.0: Ciphertext-Policy Attribute-Based Encryption. IEEE Netw. 37(6): 42-49 (2023) - [j8]Qing Xue, Yi-Jing Liu, Yao Sun, Jian Wang, Li Yan, Gang Feng, Shaodan Ma:
Beam Management in Ultra-Dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach. IEEE Trans. Cogn. Commun. Netw. 9(1): 185-197 (2023) - [j7]Xiaoqian Li, Gang Feng, Yao Sun, Shuang Qin, Yijing Liu:
A Unified Framework for Joint Sensing and Communication in Resource Constrained Mobile Edge Networks. IEEE Trans. Mob. Comput. 22(10): 5643-5656 (2023) - [j6]Xiaoqian Li, Gang Feng, Yijing Liu, Shuang Qin, Zhongpei Zhang:
Joint Sensing, Communication, and Computation in Mobile Crowdsensing Enabled Edge Networks. IEEE Trans. Wirel. Commun. 22(4): 2818-2832 (2023) - [j5]Yijing Liu, Gang Feng, Dusit Niyato, Shuang Qin, Jianhong Zhou, Xiaoqian Li, Xinyi Xu:
Ensemble Distillation Based Adaptive Quantization for Supporting Federated Learning in Wireless Networks. IEEE Trans. Wirel. Commun. 22(6): 4013-4027 (2023) - 2022
- [j4]Runze Cheng, Yao Sun, Yijing Liu, Le Xia, Daquan Feng, Muhammad Imran:
Blockchain-Empowered Federated Learning Approach for an Intelligent and Reliable D2D Caching Scheme. IEEE Internet Things J. 9(11): 7879-7890 (2022) - [j3]Yi-Jing Liu, Shuang Qin, Yao Sun, Gang Feng:
Resource Consumption for Supporting Federated Learning in Wireless Networks. IEEE Trans. Wirel. Commun. 21(11): 9974-9989 (2022) - 2020
- [j2]Yi-Jing Liu, Gang Feng, Yao Sun, Shuang Qin, Ying-Chang Liang:
Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 69(12): 15731-15745 (2020) - 2019
- [j1]Wei Jiang, Gang Feng, Shuang Qin, Yijing Liu:
Multi-Agent Reinforcement Learning Based Cooperative Content Caching for Mobile Edge Networks. IEEE Access 7: 61856-61867 (2019)
Conference and Workshop Papers
- 2023
- [c11]Jian Wang, Gang Feng, Shuang Qin, Yi-Jing Liu, Jianhong Zhou, Youkun Peng:
Intelligent Beam Configuration for Neighbor Discovery in Ad Hoc Networks with Directional Antennas. ICC 2023: 1843-1849 - [c10]Runze Cheng, Yao Sun, Lina S. Mohjazi, Yijing Liu, Ying-Chang Liang, Muhammad Ali Imran:
Intelligent Resource Management in Symbiotic Radio under a Trusted Coevolution. ICC 2023: 2541-2546 - [c9]Xinyi Xu, Gang Feng, Shuang Qin, Yijing Liu, Yao Sun:
Joint Multi-UAV Deployment and Resource Allocation Based on Personalized Federated Deep Reinforcement Learning. ICC 2023: 5677-5682 - 2022
- [c8]Yi-Jing Liu, Shuang Qin, Gang Feng, Dusit Niyato, Yao Sun, Jianhong Zhou:
Adaptive Quantization based on Ensemble Distillation to Support FL enabled Edge Intelligence. GLOBECOM 2022: 2194-2199 - [c7]Xiaoqian Li, Gang Feng, Tingting Liu, Yao Sun, Shuang Qin, Yijing Liu:
A Joint Sensing and Communication Framework in Resource Constrained Mobile Edge Networks. GLOBECOM 2022: 4087-4092 - [c6]Xiaoqian Li, Gang Feng, Yijing Liu, Long Zhang, Shuang Qin:
Cooperative Date Sensing, Communication and Computation in Resource Constrained Mobile Crowdsensing. GLOBECOM 2022: 4358-4363 - [c5]Yi-Jing Liu, Gang Feng, Yao Sun, Xiaoqian Li, Jianhong Zhou, Shuang Qin:
Resource Consumption for Supporting Federated Learning Enabled Network Edge Intelligence. ICC Workshops 2022: 1-6 - 2021
- [c4]Runze Cheng, Yao Sun, Yijing Liu, Le Xia, Sanshan Sun, Muhammad Ali Imran:
A Privacy-preserved D2D Caching Scheme Underpinned by Blockchain-enabled Federated Learning. GLOBECOM 2021: 1-6 - [c3]Yi-Jing Liu, Gang Feng, Jian Wang, Yao Sun, Shuang Qin:
Access Control for RAN Slicing based on Federated Deep Reinforcement Learning. ICC 2021: 1-6 - 2020
- [c2]Yijing Liu, Gang Feng, Zhuo Chen, Shuang Qin, Guanqun Zhao:
Network Function Migration in Softwarization Based Networks with Mobile Edge Computing. ICC 2020: 1-6 - [c1]Yijing Liu, Gang Feng, Guanqun Zhao, Zhuo Chen, Shuang Qin:
Virtual Network Function Deployment Strategy in Clustered Multi-Mobile Edge Clouds. WCNC 2020: 1-6
Informal and Other Publications
- 2022
- [i3]Yi-Jing Liu, Shuang Qin, Yao Sun, Gang Feng:
Resource Consumption for Supporting Federated Learning in Wireless Networks. CoRR abs/2204.03850 (2022) - [i2]Yi-Jing Liu, Hongyang Du, Dusit Niyato, Gang Feng, Jiawen Kang, Zehui Xiong:
Slicing4Meta: An Intelligent Integration Framework with Multi-dimensional Network Resources for Metaverse-as-a-Service in Web 3.0. CoRR abs/2208.06081 (2022) - [i1]Qing Xue, Yi-Jing Liu, Yao Sun, Jian Wang, Li Yan, Gang Feng, Shaodan Ma:
Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach. CoRR abs/2210.01307 (2022)
Coauthor Index
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