Rate My Professor Yuan null

Her research centers on machine learning, deep learning, computer vision, and AI applications in healthcare and medicine. A pivotal contribution is the AI-powered digital biomarker for Parkinson's disease diagnosis and progression tracking via nocturnal breathing signals, featured in Nature Medicine (2022) and named one of the top ten notable advances in medicine of 2022. This work, along with others, has been highlighted in media including Forbes, The Washington Post, BBC, TechCrunch, and Engadget. Key publications encompass "Artificial Intelligence Detects Parkinson’s Disease and Estimates Disease Severity and Progression from Nocturnal Breathing" (Nature Medicine, 2022), "TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut" (IEEE TPAMI, 2023), "Continuous Invariance Learning" (ICLR, 2024), "Targeted Supervised Contrastive Learning for Long-Tailed Recognition" (CVPR, 2022), "Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut" (CVPR, 2022), and "Temporal Dynamic Graph LSTM for Action-driven Video Object Detection" (ICCV, 2017). Yuan Yuan has earned accolades such as the Rising Stars in AI Symposium selection at KAUST (2023), Ali Star from Alibaba Group (2019), Microsoft Young Fellowship (2011), Meritorious Winner of the Mathematical Contest in Modeling (2011), National Scholarships from China's Ministry of Education (2009-2011), and multiple HKUST research travel grants and scholarships. She actively promotes STEM diversity, equity, and inclusion via mentoring, teaching, collaborations, and outreach.