Skip to main content
Cyber Security and Resilience Technology
Cyber Security and Resilience Technology
Main navigation
Home
People
All Profiles
Leadership Team
Affiliate Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Students
Team
Projects
Startups
Datasets
low-resource learning
Xiaoqian Shen
Ph.D. Student,
Computer Vision- Core Artificial Intelligence Research
generative models
low-resource learning
Education Xiaoqian Shen is a Master's student at Vision-CAIR group in Visual Computing Center (VCC), King Abdullah University of Science and Technology (KAUST). • 2018-2022: BSc in Computer Science & Technology Dept. of Computer Science and Technology, Jilin University, China Research Interest • My research mainly focuses on leveraging natural language to facilitate better visual representation in a low-resource setting. Work Experience • Medical relation extraction for Chinese medicine instructions, 2021, Tsinghua University, China • Self-supervised Learning for medical image segmentation