Xiaojuan Qi
Associate Professor
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolXiaojuan Qi is an associate professor at the University of Hong Kong with a decade of experience in computer vision and deep learning, transitioning from assistant professor to her current role in 2026. She earned a PhD from The Chinese University of Hong Kong and broadened her research perspective as a visiting student at the University of Toronto, bringing strong academic rigor to applied problems. Her industry experience includes a research stint at Intel focused on semi-parametric image synthesis using deep convolutional networks, linking foundational research to practical image-generation techniques. Based in Hong Kong, she combines academic leadership with hands-on research in visual learning, often bridging theory and implementation in her work. An intriguing facet of her profile is the blend of electrical engineering roots from Shanghai Jiao Tong University with cutting-edge deep learning research, enabling a hardware-aware perspective on vision problems.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Electrical, Electronic and Communications Engineering Technology/Technician, Bachelor's degree, Electrical, Electronic and Communications Engineering Technology/Technician at Shanghai Jiao Tong UniversityVisiting Student, Computer Vision, Visiting Student, Computer Vision at University of TorontoThe Chinese University of Hong Kong (CUHK)
Github Skills (9)
ranking10
react9
science9
computer-science9
adaptation8
3d-object-detection5
computer-vision4
pytorch3
object-detection3
Programming languages (3)
Github contributions (5)
xjqicuhk/3DGNN
May 2018 - May 2018
Contributions:10 commits in 14 days
labhku/labhku.github.io
Jun 2020 - Jul 2021
Contributions:71 commits in 1 year
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