Yanqing Lu

Software Engineer @ Apple | Lifelong Learner

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Welcome to my homepage! I am a software engineer at Apple, where I build wireless systems for iPhone, iPad, and Apple Watch. I am interested in developing on-device AI for real-world applications, improving inference efficiency, and exploring new model architectures and training paradigms for continual learning. My goal is to make on-device AI systems efficient, adaptive, and reliable in dynamic, real-world settings.

I hold a Master’s degree in Computer Science from the University of Southern California (USC). During my time at USC, I interned at Nokia, where I applied on-device LLMs to device-to-device communication and context-aware Wi-Fi roaming. I was also a member of the Wireless Devices and Systems (WiDeS) Group, where I conducted research on autonomous base station deployment using reinforcement learning.

I received my Bachelor’s degree in Mathematics and Applied Mathematics from Southern University of Science and Technology 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

Sep 24, 2025 PEARL was accepted to AI4NextG @ NeurIPS’25 and was selected for an oral presentation.
Jul 13, 2025 One paper accepted and a student travel grant received at ML4Wireless @ ICML’25.
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

* indicates equal contribution
  1. NeurIPS Workshop
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    PEARL: Peer-Enhanced Adaptive Radio via On-Device LLM
    Ju-Hyung Lee*, Yanqing Lu*, and Klaus Doppler
    NeurIPS Workshop on AI4NextG, 2025
  2. 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
  3. 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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