Summary
Xinting Hu is an academic researcher and professor (in a 6-year pre-tenure period) with nine years of experience specializing in image generation and recognition under imbalanced, continual, and partially labeled data regimes. After earning a PhD from Nanyang Technological University and interning at Alibaba Research, she completed postdoctoral work at the Max Planck Institute for Informatics and The University of Hong Kong before joining the University of Science and Technology of China. Her work blends theoretical rigor with applied systems, producing methods that cope with real-world label scarcity and distribution shift rather than idealized datasets. Based in Hong Kong, she is known for translating advanced research into practical models and curricula that bridge industry and academia.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer and Information Sciences, General, Bachelor's degree, Computer and Information Sciences, General at University of Science and Technology of China
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Nanyang Technological University Singapore