Xinzi Cao

Xinzi Cao is an Research Assistant at the Institute of Embodied Intelligence, Pengcheng Laboratory. She received his Ph.D. from Sun Yat-sen University and Pengcheng Laboratory, under the supervision of Prof. Yutong Lu. His research focuses on open-world intelligence, aiming to develop AI systems that can perceive, learn, and adapt to novel and evolving environments. His previous work spans generalized category discovery, continual learning, and multimodal learning, enabling models to discover new concepts and acquire knowledge beyond predefined categories. She also explores large language models for AI systems, including AscendKernelGen, which leverages LLMs to automate NPU kernel generation. His current research focuses on embodied intelligence and multimodal learning for interaction with the physical world.