Tao Huang

PhD Candidate

Sydney, New South Wales, Australia
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Summary

👤
Senior
🎓
Top School
Tao Huang is a PhD candidate in Computer Science at the University of Sydney with nine years of experience applying computer vision research to real-world problems. Previously a computer vision algorithm researcher at Shanghai Lingang Jueying Intelligent Technology, he brings hands-on industry experience in translating academic models into production-ready solutions. His background includes an outstanding Bachelor's from Huazhong University of Science and Technology and ongoing doctoral research that bridges theory and applied vision systems. Based in Sydney, he maintains a personal academic page that highlights publications and projects, reflecting a commitment to open scholarship and reproducible research. Notably, his trajectory combines deep academic rigor with practical deployment experience, making him effective at moving innovations from prototype to impact.
code9 years of coding experience
job2 years of employment as a software developer
bookThe University of Sydney
bookBachelor's degree, Computer Science and Technology, Outstanding Graduate, Bachelor's degree, Computer Science and Technology, Outstanding Graduate at Huazhong University of Science and Technology
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Github Skills (69)

pruning10
backbone10
caffe10
darknet10
nas10
loss10
rep10
keras10
imagenet9
onnx9
surrogate9
mxnet9
efficientnet9
ios9
pytorch9

Programming languages (5)

C++ShellMakefileASLPython

Github contributions (5)

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hunto/blog

Mar 2021 - Dec 2022

Contributions:34 commits, 127 pushes, 1 branch in 1 year 8 months
hunto/ReLoss

Feb 2022 - Nov 2022

Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022
Contributions:1 release, 11 commits, 1 PR in 9 months
pytorchiclrrelationaliclr2022deep-learning
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Tao Huang - PhD Candidate