Aber Hu

Research Assistant at CRIPAC, NLPR, CASIA

Haidian District, Beijing, China
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Summary

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Rockstar
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Aber Hu is a research-focused computer vision engineer with 7 years’ experience at the National Laboratory of Pattern Recognition (CASIA), where he applies deep learning to face recognition, generation and editing. With a Master’s in Computer Vision and Pattern Recognition and a bachelor's in Software Engineering, he blends strong theoretical foundations with practical research execution. Known for creativity, steady temperament and clear communication, he regularly collaborates across teams to drive results under pressure. Beyond standard model development, he brings hands-on expertise in face-related tasks and a proven ability to motivate peers toward high-quality, reproducible research outcomes.
code7 years of coding experience
bookBachelor's degree, Computer Software Engineering, 4, Bachelor's degree, Computer Software Engineering, 4 at Dalian University of Technology
bookMaster's degree, Computer Vision, Deep Learning, Pattern Recognition, Master's degree, Computer Vision, Deep Learning, Pattern Recognition at Institute of Automation, Chinese Academy of Sciences
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Github Skills (11)

pytorch10
face-recognition10
model-compression10
nas8
dali7
neural-architecture-search7
imagenet6
profiling5
re-identification5
dataloader2
distributed-training2

Programming languages (1)

Python

Github contributions (5)

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Pytorch implementation of various Knowledge Distillation (KD) methods.
Contributions:65 commits, 61 pushes, 1 branch in 2 years 9 months
pytorchkd-methodsknowledge-transferknowledge-distillationkd
AberHu/TF-NAS

Jul 2020 - Aug 2020

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)
Contributions:10 commits, 13 pushes, 1 branch in 1 month
nasneural-architecture-searchtf-nassearched-architecturessearch-freedoms
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