Xiang Wu

Senior Researcher at Reconova Technologies

Haidian District, Beijing, China
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Summary

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Rockstar
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Top School
Xiang Wu is a Senior Researcher with 11 years’ experience specializing in computer vision and pattern recognition, currently focused on face and person analysis for surveillance at Reconova Technologies. He has strong industry expertise in training and deploying face/person algorithms—including detection, landmarking, attribute analysis, recognition, and person re-identification—and practical skills in knowledge distillation, model quantization, large-scale semi-supervised learning, and neural architecture search. Before Reconova he worked as a Senior Research Engineer at the Institute of Automation, Chinese Academy of Sciences, and holds both bachelor’s and master’s degrees in Electronic Engineering from the University of Science and Technology Beijing. Known for bridging research and production, he combines rigorous academic foundations with hands-on experimentation in real-world surveillance systems. A detail that stands out is his blend of deep technical focus on face/person pipelines and practical deployment experience across large-scale industrial settings.
code11 years of coding experience
job3 years of employment as a software developer
bookMaster's Degree, Electronic Engineering, Master's Degree, Electronic Engineering at University of Science and Technology Beijing
languagesChinese, English, Japanese
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Github Skills (18)

face10
pytorch10
caffe10
face-recognition10
deep-learning9
data-preprocessing8
checkout7
blas7
lapack6
python6
openblas5
machine-learning5
bsd3
imagenet2
neural-architecture-search2

Programming languages (5)

C#C++CMATLABPython

Github contributions (5)

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Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
Contributions:33 commits, 2 PRs, 33 pushes in 1 year 6 months
caffepytorchface-recognition
Contributions:84 commits, 10 pushes, 1 branch in 2 years 7 months
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