研究方向: 强化学习、信息论、智能通信、智能系统


主要研究工具 Highlighted Methodologies:

  • 强化学习 Reinforcement Learning
  • 概率生成模型 Probabilistic Generative Model
  • 物理引擎与射线追踪 Physical Engine and Ray-Tracing in Computational Graphics
  • 电路、反馈以及系统 Circuits, Feedbacks and Systems

目前关注领域 Fields of Current Interest:

  • 语义通信 Semantic Communications
  • 单比特通信系统 1-bit-ADC/DAC Communication Systems
  • 智能信道 Smart Wireless Channel and Intelligent Wireless Environment
  • 下一代无线异构网络 Heterogeneous Networks via B5G/6G Wireless Mediums
  • Neuromorphic EDA

移动性与移动信道数据 Mobility and Mobile Channel Data

基带与基站的联合优化 Joint Optimization on Baseband and Base Station

数据驱动的异质网络优化 Data-Driven HetNet Optimization

More researches (Google Scholar)