Jiashuo Yu
Research Engineer at Shanghai Artificial Intelligence Laboratory
Xuhui District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolJiashuo 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.
8 years of coding experience
Bachelor's degree, Composite Material and Engineering, Bachelor's degree, Composite Material and Engineering at Donghua UniversityMaster, Computer Science, Master, Computer Science at Fudan University
Github Skills (43)
benchmark10
multimodal-deep-learning10
video-understanding10
ellipsis10
generative10
vision-and-language10
action-recognition10
foundation-models10
visual-question-answering10
weakly-supervised-learning10
zero-shot-classification10
arxiv10
contrastive-learning10
multimodal9
vision-transformer8
Programming languages (3)
Github contributions (5)
JustinYuu/Deeplearning-study
Jun 2019 - Jan 2020
Contributions:80 commits, 79 pushes, 1 branch in 6 months
JustinYuu/MACIL_SD
Jul 2022 - Jul 2022
[ACM MM 2022] Modality-aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection
Contributions:23 commits, 2 PRs, 19 pushes in 3 days
pytorchacmdistillationsupervisedcontrastive
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