Xin Yu
Postdoctoral Researcher at Inria
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolXin Yu is a postdoctoral researcher at Inria with nine years of experience focused on the intersection of deep learning and optimization, specializing in reliable and economical AI for large-scale models. Drawing on a Ph.D. in Computer Vision from the University of Utah and prior industry work in NLP at Meituan, Xin combines combinatorial optimization, Bayesian machine learning, and deep neural network expressiveness to tackle efficiency, data-cost reduction, bias mitigation, and robustness. Their work spans computer vision and physical simulation applications and emphasizes practical methods for efficient computation and economic data abstraction. Notably, Xin’s background in cloud computing and cache management informs a systems-aware approach to model efficiency that bridges theory and real-world deployment.
10 years of coding experience
12 years of employment as a software developer
The University of UtahMaster of Science (MS), computer software and therory, Master of Science (MS), computer software and therory at Huazhong University of Science and Technology
English
Github Skills (36)
caffe10
machine-learning10
deep-learning10
3d9
computer-vision8
python8
face-alignment8
pytorch8
face7
siggraph7
reinforcement-learning7
webcam7
tensorflow6
image-recognition6
multibox6
Programming languages (3)
Github contributions (5)
yuxwind/epsilonResnet
May 2018 - Sep 2020
Contributions:78 commits, 44 pushes, 1 branch in 2 years 4 months
yuxwind/yuxwind.github.io
Jan 2017 - Aug 2025
Contributions:103 pushes in 8 years 8 months
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