Hi, I’m Zixin Wang (王子鑫)

Currently, I’m a post-doctoral fellow in the Dept. ECE, Hong Kong University of Science and Technology (HKUST), working with Prof. Khaled B. Letaief.

Prior to this, I have received the Ph.D. degree from University of Chinese Academy of Sciences (ShanghaiTech University), Shanghai, China, in 2024, co-supervised by Prof. Yong Zhou and Prof. Yuanming Shi, and the B.Sc. degree from Wuhan University of Technology, Wuhan, China, in 2018. During Nov. 2022 to Oct. 2023, I was a visiting doctoral researcher in CWC, Oulu university, supervised by Prof. Mehdi Bennis.

My research areas include edge AI, resource allocation, and distributed AI in B5G/6G.

News

Mar. 2025, our work “Microservice Migration in Hybrid Satellite-Terrestrial Networks for Autonomous Vehicles” is accepted by J. Commun. Info. Netw. and selected for the cover article.
Mar. 2025, our work “Learning to Beamform for Integrated Sensing and Communication: A Graph Neural Network with Implicit Projection Approach” is accepted by IEEE Trans. Wireless Commun., to appear.
Jan. 2025, our work “Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks” is accepted by IEEE Trans. Wireless Commun.. [Paper link]
Our work “Edge Large AI Models: Revolutionizing 6G Networks” is submitted to IEEE Commun. Mag., wish me luck.
Dec. 2024, wonderful experience in GLOBECOM 2024, Capetown, SA, with exchanging ideas about FedFT and learning more from others.
Sept. 2024, it is glad to attend IEEE Hong Kong 6G Wireless Summit.
Sept. 2024, our work “Over-the-air Federated Graph Learning” is accepted by IEEE Trans. Wireless Commun..
Aug. 2024, our work “Graph Attention-based MADRL for Access Control and Resource Allocation in Wireless Networked Control Systems” is accepted by IEEE Trans. Wireless Commun..
Aug. 2024, our work “Federated Low-Rank Adaptation for Large Language Model Fine-Tuning Over Wireless Networks” is accepted by GLOBECOM 2024.
Mar. 2024, I joined in HKUST as a post-doctoral fellow, working with Prof. Khaled B. Letaief.
Nov. 2023, I passed my thesis defense.
Nov. 2022, I start my visiting in Oulu University as a visiting doctoral researcher, working with Prof. Mehdi Bennis.

Highlighted Ongoing Work

Edge LAM
- Our first work in edge LAM, “Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks”, accepted for publication in IEEE Trans. Wireless Commun..
- By digging deep into the communication and computational logic of LoRA, our work “Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks”, has been submitted to MEDITCOM 2025. This paper further explore the FedFT framework in conjunction with differential privacy and propose a FedFT with DP framework, which investigates the impact of noise on FedFT with LoRA. The simulation results demonstrate the superiority compared with the ICLR2024 paper.
- Our blue picture in edge LAM, “Edge Large AI Models: Revolutionizing 6G Networks”, has been submitted to IEEE Commun. Mag..

Selected First-author Papers

Communication For AI

Z. Wang, Y. Zhou, Y. Shi, and K. B. Letaief. ‘‘Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks’’, accepted for publication in IEEE Trans. Wireless Commun., 2025.
Z. Wang, M. Bennis, and Y. Zhou. ‘‘Graph Attention-based MADRL for Access Control and Resource Allocation in Wireless Networked Control Systems’’, accepted for publication in IEEE Trans. Wireless Commun., 2024.
Z. Wang, Y. Zhou, and Y. Shi. ‘‘Over-the-air Federated Graph Learning’’, accepted for publication inIEEE Trans. Wireless Commun., 2024.
Z. Wang, Y. Zou, Q. An, Y. Zhou, Y. Shi, and M. Bennis. ‘‘A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning’’, accepted for publication in IEEE Trans. Wireless Commun., 2023.
T. Kang, Z. Wang, H. He, J. Zhang, Jun, S. Song, and K. B. Letaief. ‘‘Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks’’, accepted for publication in ICC 2024.
Z. Wang, Yuanming Shi, Yong Zhou, Jingyang Zhu, and Khaled. B. Letaief ‘‘Edge Large AI Models: Revolutionizing 6G Networks’’, submitted to IEEE Commun. Mag., 2024.

AI For Communication

Z. Wang, J. Zong, Y. Zhou, Y. Shi, and V. W.S. Wong. ‘‘Decentralized Multi-Agent Power Control in Wireless Networks with Frequency Reuse’’ accepted for publication in IEEE Trans. Commun., 2021.

我见青山多妩媚, 料青山见我应如是。—— 辛弃疾 (1140–1207)