Accepting PhD students! Please feel free to drop me an email to reach out at yuanjian.li@xjtlu.edu.cn; You can find more information about me by visiting https://scholar.xjtlu.edu.cn/en/persons/YuanjianLi

My interdisciplinary research focuses on AI for Next-Generation Wireless Systems. My long-term goal is to build an Ecosystem of AI and Wireless.

Two zoomed-in examples are

  • Deep Reinforcement Learning (DRL)-enabled joint computation and communication resource coordination for many-UAV many-user multi-access edge computing (MEC) in the Internet of Things (IoT) scenarios.
  • Model-driven machine learning (ML)-aided sparsity-aware channel estimation and efficient receiver design for Terahertz (THz) ultra-massive multiple-input multiple-output (UM-MIMO) transmissions, where near-field communication characteristics are highlighted.

Broadly speaking, my research expertise and interests include

  1. Artificial Intelligence (AI)-Native Sixth-Generation (6G) Wireless Systems
  2. Internet of Intelligent Things (IoT)
  3. Non-Terrestrial Communications (e.g., Drone-Aided Networks)
  4. (Scalable/Multi-Agent) DRL-Driven Joint Communication and Computation Resource Management for Multi-Access Edge Computing
  5. Compressive Sensing (CS)- and Machine Learning (ML)-Aided Channel Estimation for THz UM-MIMO Systems
  6. Quantum Machine Learning (QML) for Next-Generation Wireless Systems
  7. Secure and Covert Communications

The best way to know me is to check the latest CV file. Besides, copies of my PhD and MEng theses are accessible in PhD Thesis and MEng Thesis, respectively.