Shihao Zhang
Singapore
Summary
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Rockstar🎓
Top SchoolShihao Zhang is a PhD researcher at the National University of Singapore with eight years of experience bridging theoretical machine learning and practical medical imaging. His work focuses on deep regression representation learning—leveraging information theory and topology—to improve tasks like depth estimation, super-resolution, and pose/age estimation, with papers at ICML and ICLR and public codebases (PH-Reg, OrdinalEntropy). Earlier work applied advanced segmentation models to ophthalmology, producing a cataract grading index and multiple MICCAI publications and a best-paper award. Based in Singapore, he combines rigorous mathematical training (BSc Math, MSc Software Engineering) with hands-on translational research at clinical and industry labs, making theoretical insights applicable to real-world biomedical problems. An interesting thread across his work is reframing regression problems with tools usually reserved for classification or topology, yielding concrete gains in both understanding and performance.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Software Engineering, Master's degree, Software Engineering at 华南理工大学Doctor of Philosophy - PhD, School of Computing, Doctor of Philosophy - PhD, School of Computing at 新加坡国立大学
Github Skills (39)
multimodal-deep-learning9
vision-and-language9
visual-question-answering9
scene8
data-analysis8
salesforce8
vision-framework8
alluxio8
spark8
presto8
extraction7
machine-learning7
tensorflow7
hadoop7
sequence6
Programming languages (3)
Github contributions (5)
waxnkw/IETrans-SGG.pytorch
Mar 2022 - Jan 2023
Contributions:61 commits, 22 pushes, 33 comments in 10 months
thunlp/VisualDS
Aug 2021 - Apr 2022
Contributions:7 commits, 3 pushes, 13 comments in 8 months
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