Hihi~
I am currently pursuing a Ph.D. degree in Computer Science and Technology at Beijing Normal-Hong Kong Baptist University (BNBU), under the guidance of IEEE Fellow Professor Weijia Jia. My research focuses on intelligent resource management and system optimization in next-generation edge or vehicular computing environments to enable low-latency, reliable, and scalable services for emerging applications such as generative AI, autonomous systems, and meta computing. My work integrates online scheduling, adaptive migration, cross-layer resource coordination, and learning-driven optimization to address dynamic challenges in distributed edge infrastructures.
My previous work focused on the field of mobile edge computing by developing efficient algorithms for container scheduling and resource allocation and leveraging reinforcement learning techniques to optimize these processes. My current research focuses on the prototype system of edge computing systems and explores the characteristics of large language models on edge environments. I am committed to advancing state-of-the-art edge computing by developing novel approaches for optimizing load balancing under large-scale edge environments. This involves leveraging deep learning algorithms to enhance the performance and efficiency of edge systems, specifically targeting scenarios where computational resources are limited but the demand for real-time processing is high. Through continuous learning and experimentation, I seek to discover innovative solutions that can significantly improve the capabilities of edge computing architectures, making them more suitable for a wide range of applications.