About Me

Ziyue Wang received the Ph.D. degree in Computational Mathematics from the Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences, Beijing, China, in 2025. He was supervised by Prof. Ya-Feng Liu and was a member of Optimization Group. His research interests include optimization algorithm and its applications to signal processing and wireless communications, massive random access in massive machine-type communications.

Feel free to reach out for collaborations or any topics of mutual interest!

Education

Ph.D. in Computational Mathematics

Academy of Mathematics and System Science, Chinese Academy of Sciences, Beijing, China

Year: 2020 - 2025

Honors: Special Prize of AMSS Presidential Scholarship, Loo-Keng Hua Scholarship, Excellence Scholarship, Outstanding Graduate of Beijing

B.Sc. in Information and Computing Science

Beijing Institute of Technology, Beijing, China

Year: 2016 - 2020

Honors: National Scholarship * 2, Outstanding Graduate of Beijing

Publications

  1. Ziyue Wang, Ya-Feng Liu, Zhaorui Wang, and Wei Yu, Covariance-Based Activity Detection in Cooperative Multi-Cell Massive MIMO: Scaling Law and Efficient Algorithms, IEEE Transactions on Information Theory, 2024. [DOI] [arXiv]
  2. Ziyue Wang, Yang Li, Ya-Feng Liu, and Junjie Ma, Covariance-Based Device Activity Detection with Massive MIMO for Near-Field Correlated Channels, 2024. [arXiv]
  3. Ziyue Wang, Zhilin Chen, Ya-Feng Liu, Foad Sohrabi, and Wei Yu, An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO, in Proc. IEEE ICASSP, 2021. [DOI] [arXiv]
  4. Ziyue Wang, Ya-Feng Liu, Zhilin Chen, and Wei Yu, Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access, in Proc. IEEE SPAWC, 2021. [DOI] [arXiv]
  5. Ziyue Wang, Ya-Feng Liu, Zhaorui Wang, and Wei Yu, Scaling Law Analysis for Covariance Based Activity Detection in Cooperative Multi-Cell Massive MIMO, in Proc. IEEE ICASSP, 2023. [DOI] [arXiv]
  6. Ziyue Wang, Yang Li, Ya-Feng Liu, and Junjie Ma, Covariance-Based Device Activity Detection for Near-Field Communications, in Proc. IEEE/CIC ICCC, 2025.
  7. 王子岳, 刘亚锋, 王兆瑞, 协作多小区大规模 MIMO 系统中基于协方差的活跃设备检测, 移动通信, 2025. [DOI]
  8. Zhaorui Wang, Ya-Feng Liu, Ziyue Wang, Liang Liu, Haoyuan Pan, and Shuguang Cui, Device Activity Detection in mMTC with Low-Resolution ADCs: A New Protocol, IEEE Transactions on Wireless Communications, 2024. [DOI] [arXiv]
  9. Ya-Feng Liu, Wei Yu, Ziyue Wang, Zhilin Chen, and Foad Sohrabi, Grant-Free Random Access via Covariance-Based Approach, in Next Generation Multiple Access, Wiley, 2024. [DOI]
  10. Jingreng Lei, Yang Li, Zeyi Ren, Qingfeng Lin, Ziyue Wang, Ya-Feng Liu, and Yik-Chung Wu, Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications, 2025. [arXiv]