Jiashuo Yu

Research Engineer at Shanghai Artificial Intelligence Laboratory

Xuhui District, Shanghai, China
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Summary

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Rockstar
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Top School
Jiashuo Yu is a research engineer with eight years of experience specializing in audio-visual learning, currently based at Shanghai Artificial Intelligence Laboratory. With a Master’s in Computer Science from Fudan University and a background in composite materials from Donghua University, he blends rigorous academic training with practical research engineering. He focuses on multimodal perception and learning systems, translating cutting-edge research into experimental prototypes and scalable models. Colleagues know him for bridging domain knowledge across materials engineering and machine learning, bringing a systems-minded perspective to algorithm design. Located in Xuhui District, Shanghai, he is positioned at the intersection of China’s vibrant AI research community and applied industrial R&D.
code8 years of coding experience
bookBachelor's degree, Composite Material and Engineering, Bachelor's degree, Composite Material and Engineering at Donghua University
bookMaster, Computer Science, Master, Computer Science at Fudan University
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Github Skills (35)

benchmark10
video-understanding10
action-recognition10
foundation-models10
zero-shot-classification10
contrastive-learning10
stable-diffusion9
multimodal9
vision-transformer9
diffusion-models8
music-generation8
artificial-intelligence7
optical-flow7
audio7
unsupervised-learning6

Programming languages (4)

JavaScriptJupyter NotebookPythonKotlin

Github contributions (5)

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JustinYuu/CBIR_pytorch

Sep 2019 - Sep 2025

Contributions:3 pushes, 1 branch in 6 years 1 month
OpenGVLab/LORIS

May 2023 - Aug 2025

[ICML2023] Long-Term Rhythmic Video Soundtracker
Contributions:1 PR, 15 pushes, 3 comments in 2 years 3 months
aigcdiffusion-modelsmulti-modalitymusic-generationpytorch-implementation
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