人员简介

XUE, Ye

Biography

 POSITION/TITLE

Research Scientist 

RESEARCH FIELD

Machine learning, non-convex optimization, online learning, federated learning, applications of artificial intelligence in communication networks, digital twins, and other interdisciplinary fields intersecting machine learning and communication.

PERSONAL WEBSITE

https://yokoxue.github.io/

EMAIL

yokoxue@sribd.cn

EDUCATION BACKGROUND

The Hong Kong University of Science and Technology, PhD

Southeast University​​​​​, ​​Bachelor

BIOGRAPHY

Dr. Xue Ye obtained his Bachelor's degree in Communication Engineering from Southeast University in 2017 and his PhD degree from the School of Electronic and Computer Engineering at the Hong Kong University of Science and Technology in 2022. In the same year, he joined the Shenzhen Research Institute of Big Data as a research scientist. Dr. Xue has been engaged in research in the interdisciplinary fields of non-convex optimization, high-dimensional statistics, machine learning, and communication networks for many years. He has published over ten academic papers as the first author in high-level international journals and conferences in the fields of artificial intelligence and wireless communication, collaborating closely with numerous renowned scholars both domestically and internationally. Currently, he is actively involved as a key member in national key R&D projects.

ACADEMIC PUBLICATIONS

  1. Y. Xue and V. Lau, “Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation” IEEE Transactions on Signal Processing, 2023
  2. Ye Xue; Vincent K. N. Lau ; Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method, IEEE Transactions on Neural Networks and Learning Systems, 2021, 1-15
  3. Ye Xue; Vincent K. N. Lau; Songfu Cai ; Efficient Sparse Coding Using Hierarchical Riemannian Pursuit, IEEE Transactions on Signal Processing, 2021, 69: 4069-4084
  4. Ye Xue; Yifei Shen; Vincent K. N. Lau; Jun Zhang; Khaled B. Letaief ; Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold, IEEE Transactions on Wireless Communications, 2021, 20(2): 1411-1424
  5. Y. Xue*, Y. Shen, J. Zhang, K. Letaief, and V. Lau, “Complete dictionary learning via ℓp-norm maximization,” Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:280-289, 2020. （Co-first Author）
  6. Ye Xue; Liqun Su; Vincent K. N. Lau ; FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning, IEEE Internet of Things Journal, 2022