Yong Li
Scholar

Yong Li

Google Scholar ID: Tdc3JMcAAAAJ
HKUST
Self-supervised LearningUrban Visual Intelligence
Citations & Impact
All-time
Citations
264
 
H-index
6
 
i10-index
4
 
Publications
10
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • Selected Publication: Meta-FSEO: A meta-learning fast adaptation with self-supervised embedding optimization for few-shot remote sensing scene classification, published in Remote Sensing, 2022.
Research Experience
  • Supported by a Graduate Research Fellowship.
Education
  • PhD student at The Hong Kong University of Science and Technology (HKUST), advised by Prof. Fan ZHANG.
Background
  • A first year PhD student at The Hong Kong University of Science and Technology, with a research goal to perceive, analyze and understand cities using deep learning. His research focuses on street view imagery and remote sensing imagery.
Miscellany
  • Enjoys watching football in free time (a supporter of Manchester City). Describes himself as a researcher by training and an engineer at heart, aiming to build systems that help people and develop beautiful, well-documented, modular code along the way.