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 (38)
video-understanding10
vision-and-language10
multimodal-deep-learning9
scene-graph9
spark9
prompt-tuning9
vision-framework9
salesforce9
visual-question-answering9
language-model8
data-analysis8
hadoop8
tensorflow8
alluxio8
presto8
Programming languages (4)
Github contributions (5)
waxnkw/waxnkw.github.io
Aug 2021 - May 2026
Contributions:21 pushes in 4 years 9 months
waxnkw/IETrans-SGG.pytorch
Mar 2022 - Jan 2023
This is the code of ECCV 2022 (Oral) paper "Fine-Grained Scene Graph Generation with Data Transfer".
Contributions:61 commits, 22 pushes, 33 comments in 10 months
scene-graph
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