Haotong Qin
Postdoctoral Researcher at ETH Zürich
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolHaotong Qin is a postdoctoral researcher at ETH Zürich with eight years of experience in deep learning research, model compression, quantization, and computer vision. He holds a PhD in Software Engineering from Beihang University and has transitioned between industry research roles at ByteDance, Tencent, and Microsoft and academic positions, including a visiting researcher stint at ETH. His work focuses on making high-performance vision models more efficient for real-world deployment, blending theoretical rigor with applied engineering. Colleagues describe him as someone who moves smoothly between prototype research and production-aware solutions, bringing practical insights from large-scale industry projects into academic inquiry. Based in Zurich, he combines strong publication credentials with hands-on implementation skills that accelerate model compression from idea to usable systems.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Software Engineering, Doctor of Philosophy - PhD, Software Engineering at Beihang University
Stackoverflow
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Github Skills (33)
machine-learning10
model-compression10
binarization10
pruning10
deep-learning10
quantization10
nlp10
graph9
python8
image-segmentation8
paper8
semantic-segmentation8
pytorch8
image-processing8
computer-vision7
Programming languages (2)
Github contributions (5)
practical-dl/practical-dl.github.io
Nov 2021 - Mar 2024
Contributions:4 PRs, 28 pushes, 1 comment in 2 years 4 months
Efficient-ML/Awesome-Model-Quantization
Oct 2018 - Jan 2023
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Contributions:4 reviews, 105 commits, 38 PRs in 4 years 3 months
nlprepositoriesthe-worksdeep-learningpruning
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