I am currently working on pioneering AI research and development in car manufacturing scenarios at NIO.My PhD study aims to enable efficient inference and fine-tuning of AI models, which can be particularly useful on resource-constrained devices, e.g., MCU boards, Raspberry Pi, and Nvidia Jetson. My early study focused on AI for wireless communication, where I designed modular and lightweight AI models to enhance the performance of wireless communication systems (e.g., WiFi and backscatter). Later I started to work on On-Device AI, where I optimized the inference and training cost of AI models on weak embedded devices. Overall my research involves not only traditional AI models (e.g., MLP and CNN), but also large generative models, such as large language models, diffusion models, and large multimodal models.