Liu Feifan is a third-year undergraduate researcher in Automation at Henan University, focusing on compiler optimization for deep neural networks and edge AI systems. His primary research explores the intersection of compiler theory and artificial intelligence, specifically developing Meta-AI Compiler frameworks that leverage large language models to generate optimized intermediate representations for neural network acceleration. Liu's publications and patents focus on resource-constrained deep learning deployment, with particular emphasis on TensorFlow Lite Micro implementations for MCU platforms. His interdisciplinary approach combines signal processing, embedded systems architecture, and model compression techniques to advance efficient on-device intelligence.