معرفی
Dr. Xiaoqing Guo is a Research Fellow at the Department of Engineering Science, University of Oxford. She holds a PhD from City University of Hong Kong (2022) and a B.Eng from Beihang University (2018). Her research focuses on medical image analysis, computer vision, and machine learning, with an emphasis on multimodal learning, human-machine interaction, and robust AI systems. She is affiliated with the Institute of Biomedical Engineering and the Noble Group, contributing to projects like the Turing AI WLR Fellowship.
Her educational background includes:
- B.Eng in Biological Science & Medical Engineering (Beihang University, 2018)
- PhD in Electrical Engineering (City University of Hong Kong, 2022)
Research interests span medical imaging, multimodal systems, and domain adaptation. Recent work includes MMSummary for fetal ultrasound video summarization, Pose-GuideNet for fetal head ultrasound guidance, and IterMask2 for brain lesion segmentation. She explores challenges like noisy labels, open-set generalization, and few-shot learning for rare diseases.
Her publications reflect a trend toward medical AI applications, cross-modal systems, and domain adaptation. Notable contributions include novel frameworks for segmentation, anomaly detection, and adaptive learning.
Awards include the 2024 Asian Deans’ Forum Rising Star and 2023 Global Top 80 Chinese Young Female AI Scholars. She was also a CVPR Outstanding Reviewer (2023) and recipient of the Chow Yei Ching Doctoral Research Award (2022).
Dr. Guo’s work bridges theory and clinical practice, with projects in collaboration with institutions like the University of Oxford’s Visual AI Research Group. She is involved in initiatives like the Turing AI Fellowship and contributes to advancing medical imaging technologies.
