Yuxuan Jiang

Graduate Teacher Level 2

United Kingdom
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Summary

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Senior
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Top School
Yuxuan Jiang is a PhD candidate and Graduate Teacher Level 2 at the University of Bristol with a decade of experience spanning academia and industry in deep learning, computer vision, and image/video processing. He holds an MSc (Distinction) in Communications and Signal Processing from Imperial College London and a BEng in Information Engineering from Southeast University. His research focuses on image/video super-resolution and perceptually optimized video compression, including a project collaboration with Netflix. He has practical software engineering experience from Huawei and teaches a broad set of courses from DSP and FPGA implementation to advanced visual AI and mathematics. Comfortable bridging theory and application, he brings both reinforcement learning and embodied AI interests (noted on his GitHub) to multimedia research problems. Colleagues describe him as someone who blends rigorous signal-processing foundations with creative, application-driven solutions.
code10 years of coding experience
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at 英国布里斯托大学
bookMaster of Science - MS, Communication and Signal Processing, Distinction, Master of Science - MS, Communication and Signal Processing, Distinction at 英国帝国理工学院
bookBachelor's degree, Information Engineering, Bachelor's degree, Information Engineering at 东南大学
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Github Skills (200)

parallel10
unreal-engine-410
beamer10
simulator10
python10
hyperparameter-optimization10
deep-learning10
automl10
gpu10
visual-studio10
ray10
traffic10
optimization10
javascript10
seo10

Programming languages (13)

C#JavaC++RustTeXVueGoJupyter Notebook

Github contributions (5)

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obstudio/ThuliumMusic-JS

Mar 2018 - May 2018

Contributions:155 commits, 11 pushes, 1 branch in 2 months
Contributions:66 commits, 2 PRs, 32 pushes in 1 month
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