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.
11 years of coding experience
3 years of employment as a software developer
Master's Degree, Electronic Engineering, Master's Degree, Electronic Engineering at University of Science and Technology Beijing
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
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Xiang Wu - Senior Researcher at Reconova Technologies