I am currently an M.S. candidate in Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech), working under the supervision of Professor Rui Wang.

My research focuses on the intersection of wireless communication, optimization and machine learning, particularly the development and implementation of machine-learning-enabled communication systems. My current projects involve optimization in WiFi systems and edge computing environments.

Skills

• Programming: Python, RUST, MATLAB，Labview, C, TypeScript
• Math Tools: Markov Decision Process, Convex Optimization
• Software: Linux, Pytorch, Docker, Git, Overleaf, VSCode, Solidworks, AutoCAD, HFSS, ADS, and STM32CubeIDE

Educations

• M.S., Southern University of Science and Technology, Electronics and Electrical Engineering. 2022.09 - now

• B.S., Southern University of Science and Technology, Communication Engineering. 2018.09 - 2022.07

Publications

• Qianren Li, Bojie Lv, Yuncong Hong, and Rui Wang, ReinWiFi: Application-Layer QoS Optimization of WiFi Networks with Reinforcement Learning. arXiv preprint arXiv:2405.03526. (Accepted by IEEE 101st Vehicular Technology Conference).
• Qianren Li, Yuncong Hong, Bojie Lv, and Rui Wang, A Dynamic Improvement Framework for Vehicular Task Offloading. arXiv preprint arXiv:2501.11333. (Accepted by IEEE Wireless Communications and Networking Conference)
• Bojie Lv, Qianren Li and Rui Wang, Sensing-Assisted Adaptive Channel Contention for Mobile Delay-Sensitive Communications, 2024, arXiv:2405.06186. (Accepted by IEEE Global Communications Conference)

Project Experience

Reinwifi 2023.06 - now

• Description: Extracting information from the media access control (MAC) layer in real time is either infeasible or hampers transmission efficiency. To address this issue, a reinforcement-learning-based framework for application-layer quality-of-service (QoS) optimization of WiFi networks was proposed.
• Role: Project Leader, Developer
• Tools: Python, Pytorch, C, RUST

InertiEAR-Implementation 2022.12 - 2023.1

• Description: Speakers in cell phones might induce vibration in embedded inertial measurement units (IMU); therefore, utilizing IMU data to infer victims’ sensitive vocal information is possible.(Course Project)
• Role: Project Leader, Developer
• Tools: Python, Pytorch

• Overleaf-Workshop 2023.7 - now

  • Description: Open Overleaf/ShareLaTex projects in vscode, with full collaboration support.
  • Role: Developer, Maintainer
  • Tools: Typescript, Node.js