Yanqing Lu

Welcome to my homepage! I am a second-year master’s student at the University of Southern California, majoring in computer science. My research interests lie in edge AI, focusing on both efficient and adaptive on-device AI models, and learning-based optimization methods for multi-agent edge systems. Ultimately, I seek to enable edge AI systems that are efficient, adaptive, and reliable in dynamic real-world settings.

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

In Summer 2025, I worked as a research intern in Nokia’s Wi-Fi research group, focusing on applying on-device LLMs for wireless control, with an emphasis on device-to-device communication and context-aware Wi-Fi roaming. 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.

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.