معرفی
Dr. Xiaojuan Qi is an Assistant Professor in the Department of Electrical and Electronic Engineering at The University of Hong Kong. Her research focuses on 3D vision, deep learning, and AI applications in medical imaging and science. She holds memberships in IEEE and CCF.
Education:
- PhD, The Chinese University of Hong Kong (2018)
- BEng, Shanghai Jiao Tong University (2014)
- Postdoctoral Researcher, University of Oxford (prior to HKU)
Research Interests:
Dr. Qi develops scalable deep learning algorithms for medical and natural image analysis, 3D scene understanding, and neural network behavior in out-of-distribution scenarios. Her work emphasizes label efficiency, geometric reasoning, and cross-modal integration.
Lab Contributions:
As head of the Computer Vision and Machine Intelligence Lab (CVMI Lab), she explores open-world intelligence, 3D reconstruction, and AI applications in robotics, autonomous systems, and healthcare. Recent lab highlights include 10+ ICCV/CVPR/NeurIPS papers in 2023-2025.
Awards:
- ImageNet Semantic Parsing Challenge (1st Place)
- Outstanding Reviewer Awards (ICCV 2017/2019)
- CVPR Doctoral Consortium Travel Award
Advising & Grants:
Supervises ~20 PhD students (listed in detail). Active in securing grants for embodied AI, medical imaging, and edge computing hardware.
Lab Collaborations:
Focuses on interdisciplinary projects with Intel, Oxford, and Toronto groups, emphasizing 3D vision, neuromorphic computing, and AI-driven medical solutions.
