Associate Professor

University of Electronic Science and Technology of China, China

Biography

Hi, I am Yijing Liu (刘贻静)

I am currently serving as an associated professor at the National Key Laboratory of Wireless Communications, University of Electronic Science and technology. I received Ph.D. degree at the University of Electronic Science and technology in 2023, under the supervision of prof. Gang Feng. I was also a visiting Ph.D. student at the College of Computing and Data Science, under the supervision of prof. Dusit Niyato, Nanyang Technological University, Singapore, from 2022 to 2023.

Currently, my focus is on the integration of distributed machine learning/generative AI and intelligent wireless networks from the perspectives of “AI for Wireless Networks” and “Wireless Networks for AI”.

Interests
  • Distributed machine learning
  • Generative AI
  • Intelligent wireless networks

Education

  • PhD degree on Information and Communication Engineering, 2017 - 2023

    University of Electronic Science and Technology of China

  • B.S. degree on Communication Engineering, 2013 - 2017

    Chongqing University of Posts and Telecommunications

Recent News

All news»

  • Our paper “Joint Inference Offloading and Model Caching for Small and Large Language Model Collaboration” has been accepted by IEEE Transactions on Mobile Computing (IEEE TMC), Sep. 2025.

  • Our paper “Trusted Clustering Based Federated Learning in Edge Networks” has been published in IEEE Transactions on Mobile Computing (IEEE TMC), May. 2025.

  • Our paper “A Survey of Integrating Generative Artificial Intelligence and 6G Mobile Services: Architectures, Solutions, Technologies and Outlooks” has been published in IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), April. 2025.

  • One paper “Efficient Federated Learning in Wireless Networks With Incremental Model Quantization and Uploading” has been published in IEEE Transactions on Network Science and Engineering (IEEE TNSE), Jan. 2025.

  • One paper “Adaptive Clustering-Based Straggler-Aware Federated Learning in Wireless Edge Networks” has been published in IEEE Transactions on Communications (IEEE TCOM), June. 2024.

Selected Publications

Yi-Jing Liu, Long Zhang, Xiaoqian Li, Hongyang Du, Gang Feng, Shuang Qin and Wang, Jiacheng. Trusted Clustering Based Federated Learning in Edge Networks. IEEE Transactions on Mobile Computing (JCR一区，中科院一区，CCF A), 2025
Yi-Jing Liu, Hongyang Du, Xinyi Xu, Ruichen Zhang, Gang Feng, Bin Cao, Dusit Niyato, Dong In Kim, Abbas Jamalipour, Khaled B. Letaief, and Rahim Tafazolli. A Survey of Integrating Generative Artificial Intelligence and 6G Mobile Services: Architectures, Solutions, Technologies and Outlooks. IEEE Transactions on Cognitive Communications and Networking (JCR一区，中科院一区), 2025
Yi-Jing Liu, Gang Feng, Hongyang Du, Zheng Qin, Yao Sun, Jiawen Kang, Xiaoqian Li and Dusit Niyato. Adaptive Clustering-Based Straggler-Aware Federated Learning in Wireless Edge Networks. IEEE Transactions on Communications (JCR一区，中科院二区), vol. 72, no. 12, pp. 7757-7771, Dec. 2024
Yi -Jing Liu, Hongyang Du, Dusit Niyato, Gang Feng, Jiawen Kang and Zehui Xiong. Slicing4Meta: An Intelligent Integration Architecture with Multi-Dimensional Network Resources for Metaverse-as-a-Service in Web 3.0. IEEE Communications Magazine (JCR一区，中科院二区), vol. 61, no. 8, pp. 20-26, August 2023
Yi-Jing Liu, Gang Feng, Dusit Niyato, Shuang Qin, Jianhong Zhou, Xiaoqian Li and Xinyi Xu. Ensemble Distillation Based Adaptive Quantization for Supporting Federated Learning in Wireless Networks. IEEE Transactions on Wireless Communications (JCR一区，中科院一区), vol. 22, no. 6, pp. 4013-4027, June 2023
Yi-Jing Liu, Shuang Qin, Yao Sun and Gang Feng. Resource Consumption for Supporting Federated Learning in Wireless Networks. IEEE Transactions on Wireless Communications (JCR一区，中科院一区), vol. 21, no. 11, pp. 9974-9989, Nov. 2022.
Yi-Jing Liu, Gang Feng, Yao Sun, Shuang Qin and Ying-Chang Liang. Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology (JCR一区，中科院二区), vol. 69, no. 12, pp. 15731-15745, Dec. 2020
Zheng Qin, Gang Feng, Yi-Jing Liu, Takshing Peter Yum, Fei Wang and Jun Wang. Efficient Federated Learning in Wireless Networks With Incremental Model Quantization and Uploading. IEEE Transactions on Network Science and Engineering (JCR一区，中科院一区), vol. 12, no. 3, pp. 2217-2230, May-June 2025
Qing Xue, Yi-Jing Liu, Yao Sun, Jian Wang, Li Yan and Gang Feng. Beam Management in Ultra-Dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach. IEEE Transactions on Cognitive Communications and Networking (JCR一区，中科院一区), vol. 9, no. 1, pp. 185-197, Feb. 2023

Service

 
 
 
 
 
Reviewer
IEEE JSAC, IEEE TWC, IEEE TCOM, IEEE TMC, IEEE TCCN, etc.
Present
 
 
 
 
 
Session Chair
2024 IEEE ICCT
Present

Programs

(1) China National Postdoctoral Program for Innovative Talents（国家博新计划）, 2023.12-2025.09.

(2) National Natural Science Foundation of China（国自然青基）, 2025.01-2027.12.

(3) National Key Laboratory of Wireless Communications Foundation（全国重点实验室项目）, 2023.09-2025.08.

Contact