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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
- Yijing Liu 0002
![[0000-0002-5104-325X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5104-325X")
— Texas A&M University, College Station, TX, USA - Yijing Liu 0003 — Zhejiang University, Hangzhou, Zhejiang, China
- Yijing Liu 0004 — University of Copenhagen, Copenhagen, Denmark
- Yijing Liu 0005 — Sichuan University, Chengdu, China
- Yijing Liu 0006 — Xi'an University of Technology, Xi'an, China
- Yijing Liu 0007 — Tsinghua University, Institute of Network Science and Cyberspace, Beijing, China
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2020 – today
- 2026
[j23]Ji Guo, Zhijing Wang, Wenbo Jiang, Rui Zhang, Jian Xiong, Qiyang Song, Hao Wu, Yijing Liu:
BiasAgent: Exploiting Agent Bias for Preference Manipulation Attacks on Model Context Protocol. IEEE Trans. Cogn. Commun. Netw. 12: 10358-10371 (2026)- [j22]Xinyi Xu, Gang Feng, Yijing Liu, Shuang Qin, Jian Wang, Yunxiang Wang:
Joint Inference Offloading and Model Caching for Small and Large Language Model Collaboration. IEEE Trans. Mob. Comput. 25(2): 2691-2706 (2026) - [j21]Yunxiang Wang, Gang Feng, Yijing Liu, Shuang Qin, Jianhong Zhou, Xinyi Xu:
Knowledge Sharing Based Fine-Tuning for Large Pre-Trained Model in Wireless Networks. IEEE Trans. Netw. Sci. Eng. 13: 783-796 (2026) - [j20]Jian Wang, Gang Feng, Yi-Jing Liu, Xinyi Xu, Lei Cheng, Wei Jiang, Li Ping Qian:
Split Learning Based Cloud-Edge-End Collaborative Model Training in Heterogeneous Networks. IEEE Trans. Netw. Sci. Eng. 13: 1569-1585 (2026) - [c18]Ruihan Wen, Qiping Xu, Chengjie Li, Gang Feng, Yijing Liu, Jianhua Tang, Yaru Fu:
A Digital Twin-Enabled Approach for Resource Allocation in Cross-Domain Network Slicing. ICC Workshops 2026: 1-6 - [i6]Ji Guo, Wenbo Jiang, Yansong Lin, Yijing Liu, Ruichen Zhang, Guomin Lu, Aiguo Chen, Xinshuo Han, Hongwei Li, Dusit Niyato:
State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space. CoRR abs/2601.04266 (2026) - [i5]Zikang Ding, Haomiao Yang, Meng Hao, Wenbo Jiang, Kunlan Xiang, Runmeng Du, Yijing Liu, Ruichen Zhang, Dusit Niyato:
Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models. CoRR abs/2603.11949 (2026) - 2025
- [j19]Yijing Liu, Hongyang Du, Xinyi Xu, Ruichen Zhang, Gang Feng, Bin Cao, Dusit Niyato, Dong In Kim, Abbas Jamalipour, Khaled Ben Letaief, Rahim Tafazolli:
A Survey of Integrating Generative Artificial Intelligence and 6G Mobile Services: Architectures, Solutions, Technologies and Outlooks. IEEE Trans. Cogn. Commun. Netw. 11(3): 1334-1356 (2025) - [j18]Yijing Liu, Long Zhang, Xiaoqian Li, Hongyang Du, Gang Feng, Shuang Qin, Jiacheng Wang:
Trusted Clustering Based Federated Learning in Edge Networks. IEEE Trans. Mob. Comput. 24(10): 9726-9742 (2025) - [j17]Zheng Qin, Gang Feng, Yi-Jing Liu, Tak-Shing Peter Yum, Fei Wang, Jun Wang:
Efficient Federated Learning in Wireless Networks With Incremental Model Quantization and Uploading. IEEE Trans. Netw. Sci. Eng. 12(3): 2217-2230 (2025) - [j16]Guangyuan Liu, Yijing Liu, Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour:
Context-Aware Semantic Communication for the Wireless Networks. IEEE Wirel. Commun. 32(5): 20-28 (2025) - [c17]Xinyi Xu, Gang Feng, Yijing Liu, Shuang Qin, Yunxiang Wang:
Collaborative Inference Scheme with Small and Large Language Models in Edge Networks. GC Workshops 2025: 903-908 - [c16]Yi-Jing Liu, Long Zhang, Xiaoqian Li, Hongyang Du, Gang Feng, Shuang Qin, Jiacheng Wang, Dusit Niyato:
A Trusted Clustering-based FL Framework in ISAC-enabled Wireless Edge Networks. GLOBECOM 2025: 3463-3468 - [c15]Yunxiang Wang, Gang Feng, Yijing Liu, Jianhong Zhou, Xinyi Xu:
Fine-Tuning Scheme for Enhancing Generalization Capability of Large Pre-Trained Models in Wireless Networks. ICC 2025: 1560-1565 - 2024
- [j15]Fengsheng Wei, Gang Feng, Shuang Qin, Youkun Peng, Yijing Liu:
Hierarchical Network Slicing for UAV-Assisted Wireless Networks With Deployment Optimization. IEEE J. Sel. Areas Commun. 42(12): 3705-3718 (2024) - [j14]Yi-Jing Liu, Gang Feng, Hongyang Du, Zheng Qin, Yao Sun, Jiawen Kang, Xiaoqian Li, Dusit Niyato:
Adaptive Clustering-Based Straggler-Aware Federated Learning in Wireless Edge Networks. IEEE Trans. Commun. 72(12): 7757-7771 (2024) - [j13]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) - [j12]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) - [j11]Jian Wang, Gang Feng, Shuang Qin, Yijing Liu, Jianhong Zhou, Youkun Peng, Yatong Wang, Long Zhang:
Intelligent Beam Configuration for Neighbor Discovery in Ad Hoc Networks With Directional Antennas. IEEE Trans. Veh. Technol. 73(12): 18846-18862 (2024) - [c14]Zheng Qin, Gang Feng, Yijing Liu, Xiaoqian Li, Fei Wang, Jun Wang:
Incremental Model Quantization for Federated Learning in Wireless Networks. GLOBECOM 2024: 361-366 - [c13]Fengsheng Wei, Gang Feng, Shuang Qin, Youkun Peng, Yijing Liu:
Hierarchical Network Slicing for Time-Varying UAV-assisted Wireless Networks: Dynamic Programming Beyond Distributed Learning. GLOBECOM 2024: 1521-1526 - [c12]Yi-Jing Liu, Gang Feng, Hongyang Du, Zheng Qin, Yao Sun, Jiawen Kang, Dusit Niyato:
Straggler-Aware Federated Learning Based on Adaptive Clustering to Support Edge Intelligence. ICC 2024: 1867-1872 - [i4]Yijing Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Yonggang Wen, Dong In Kim:
Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study. CoRR abs/2409.09343 (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) - [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
- [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) - [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 - [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) - 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
- [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) - [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
2010 – 2019
- 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)
Coauthor Index
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last updated on 2026-08-26 23:33 CEST by the dblp team
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