Yanqing Lu

CS master's @ USC | Lifelong learner

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Welcome to my homepage! I am a second-year Master of Science in Computer Science (MSCS) student at the University of Southern California (USC). My research interests lie in on-device large language models (LLMs), deep reinforcement learning (DRL), efficient AI, optimization for machine learning, and their interdisciplinary applications.

:loudspeaker: I am actively seeking PhD opportunities starting Spring or Fall 2026. Please feel free to contact me if you are interested in my profile.

At present, I am a research intern in the Wi-Fi research group at Nokia, where I work on applying on-device LLMs for multi-task wireless control. Prior to this, I was a member of the Wireless Devices and Systems (WiDeS) Group at the USC Viterbi School of Engineering, where I conducted research on autonomous base station deployment using DRL and context-aware Wi-Fi roaming through on-device LLMs.

I received my Bachelor’s degree in Mathematics and Applied Mathematics from the Southern University of Science and Technology (SUSTech) in Shenzhen, China. During my undergraduate studies, I conducted research on multi-agent reinforcement learning under the supervision of Prof. Ming Tang. I also gained industry experience as a software engineering intern at Baixing AI, where I contributed to the development of domain-specific LLM chatbots with enhanced control.

news

Jun 06, 2025 One paper accepted by ICML 2025 ML4Wireless Workshop
May 19, 2025 Joined Nokia Wi-Fi Center of Excellence as a Summer Research Intern at Sunnyvale, CA
Aug 03, 2023 My first paper got accepted to IEEE GLOBECOM 2023!
Jun 30, 2023 :mortar_board: Graduated with a Bachelor’s degree from SUSTech

selected publications

  1. ICML Workshop
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    On-Device LLM for Context-Aware Wi-Fi Roaming
    Ju-Hyung Lee, Yanqing Lu, and Klaus Doppler
    ICML Workshop on ML4Wireless, 2025
  2. GLOBECOM
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    Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach
    Yanqing Lu, Meng Zhang, and Ming Tang
    In IEEE Global Communications Conference, 2023

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