Xiaoyu Bie

Member Of Technical Staff at Cartesia

Stony Stratford, England, United Kingdom
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Summary

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Senior
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Top School
Xiaoyu Bie is a postdoctoral researcher at Télécom Paris (IP Paris) with eight years’ experience at the intersection of audio signal processing, probabilistic generative models, and multimodal perception. Currently contributing to the ERC Hi-Audio project, she develops interpretable and controllable deep neural models that inject domain priors into audio representations. Her background spans a PhD at Inria on deep probabilistic generative models for speech, a Meta FAIR internship on disentangled unsupervised speech representations, and earlier work in robust visual localization and SLAM for robotics and autonomous driving. Xiaoyu blends strong theoretical training in mathematics and signal/image engineering with hands-on systems experience across academic and industry labs, enabling her to translate principled models into robust, real-world algorithms. She is based in Paris and brings a rare combination of probabilistic modeling expertise and applied sensor-fusion skills.
code8 years of coding experience
job3 years of employment as a software developer
bookDiplôme d'Ingénieur, Signal and Image, Applied Optics, Diplôme d'Ingénieur, Signal and Image, Applied Optics at Institut d'Optique Graduate School
bookBachelor's degree, Optoelectronic information engineering, Bachelor's degree, Optoelectronic information engineering at Huazhong University of Science and Technology
bookMaster's degree, Automation, Signal and Image Processing, Master's degree, Automation, Signal and Image Processing at Université Paris-Saclay
bookDoctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at Université Grenoble Alpes
bookHigh School Diploma, High School Diploma at NO.1 Middle School Affiliated to Central China Normal University
languagesChinese, English, French
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Github Skills (55)

variational-autoencoder10
autoencoder10
generative-model10
slam10
deep-learning9
deepspeed8
live-preview8
pre-trained-model7
stereo7
unsupervised-machine-learning7
pytorch7
surface7
foundation-models6
nlp6
point-cloud6

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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XiaoyuBIE1994/DVAE

Nov 2021 - Dec 2022

(FTML 2021) Official implementation of Dynamical VAEs
Contributions:1 release, 25 commits, 2 PRs in 1 year
autoencoderdeep-learninggenerative-modelvariational-autoencodervariational-autoencoders
Contributions:2 commits, 1 push, 1 branch in 1 year 1 month
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