Dr. Yuhong Guo

Biography

Yuhong Guo is a Professor and Canada Research Chair at Carleton University's School of Computer Science. He specializes in various aspects of machine learning, artificial intelligence, and their applications in real-world scenarios. His research interests encompass a wide range of topics including computer vision, natural language processing, and medical data analysis. Guo's detailed research includes representation learning, domain adaptation, few-shot learning, zero-shot learning, continual learning, weakly supervised learning, semi-supervised learning, unsupervised learning, self-supervised learning, reinforcement learning, active learning, and federated learning, focusing on enhancing the capabilities and effectiveness of machine learning systems. His expertise contributes significantly to advancing knowledge and development in artificial intelligence and its practical applications.

Research Interests