Yang LongView profile
Associate Professor
Dr. Yang Long is an Associate Professor in the Department of Computer Science at Durham University, and an IEEE Senior Member (SMIEEE) and MRC Innovation Fellow. His research focuses on scalable AI solutions for healthcare applications, with expertise in Computer Vision and Machine Learning. He has authored/co-authored over 100 top-tier papers in journals/conferences such as IEEE TPAMI, CVPR, and AAAI. His work emphasizes interpretable AI, interdisciplinary applications (e.g., mental health, security), and zero-shot learning methodologies. Education: PhD in Zero-Shot Image Classification from the University of Sheffield (2017). Research Interests: Zero-shot learning, neural radiance fields (NeRF), medical image segmentation, wearable sensor analytics, and vision-language models. His projects bridge AI with healthcare, design, and geoengineering, emphasizing scalable and interpretable solutions. Publications Trends: Recent work includes advancements in dynamic neural radiance fields (CTNeRF), language-guided segmentation (Laser), and zero-shot learning for brain-computer interfaces. His 2023-2025 publications highlight innovations in medical imaging, reinforcement learning, and causal inference for action recognition. Awards: MRC Innovation Fellowship, IEEE Senior Membership. Advising & Grants: Supervises 16+ postgraduate students (e.g., ChengHao Xiao, Yara Jubran) and leads projects on scalable AI for healthcare and wearable technologies. Labs/Teams: Active in Durham's interdisciplinary AI research groups, focusing on healthcare applications and computer vision.










