Xiang Wu

Senior Researcher at Reconova Technologies

Haidian District, Beijing, China
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
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
github-logo-circle

Github Skills (20)

face10
deep-learning8
checkout8
blas6
caffe6
lapack5
openblas5
machine-learning5
pytorch5
linear-algebra4
bsd4
root-finding4
python3
preprocessing3
pandas2

Programming languages (3)

C#CPython

Github contributions (5)

github-logo-circle
Contributions:84 commits, 10 pushes, 1 branch in 2 years 7 months
AlfredXiangWu/LightCNN

Jul 2017 - Feb 2022

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018
Contributions:14 commits, 1 PR, 6 pushes in 4 years 8 months
representationlightdeep-learningnoisynoisy-labels
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Xiang Wu - Senior Researcher at Reconova Technologies