Shiqi Yang

Principal Research Scientist at SB Intuitions

Tokyo, Japan
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Summary

👤
Senior
🎓
Top School
Shiqi Yang is a research-driven AI leader with a Ph.D. in computer vision and over a decade of experience advancing multimodal generative models. Currently Director/General Manager of the Multimodal AI Department at SB Intuitions (with a concurrent SoftBank role), she leads Vision and Speech/Audio teams and heads the Creative Vision group focused on visual generation pretraining and post-training. Her trajectory spans academia and industry—from a PhD at Universitat Autònoma de Barcelona and predoctoral work on domain-adaptive vision models to research roles at Sony and Kyoto University—bridging deep research with product-focused R&D. An area chair for top conferences (ICML/NeurIPS), she combines scientific rigor with operational leadership to shepherd large industrial projects. She has hands-on experience applying pretrained models like CLIP and Stable Diffusion to open-vocabulary tasks, signaling a practical bent toward making state-of-the-art generative tech production-ready. Based in Chiyoda, Japan, she blends global research collaborations with strategic team-building across multimodal AI.
code10 years of coding experience
job3 years of employment as a software developer
bookDoctorate Degree, Computer Vision and Deep Learning, Doctorate Degree, Computer Vision and Deep Learning at Universitat Autònoma de Barcelona
bookMaster's degree, Control Science and Engineering, Master's degree, Control Science and Engineering at Huazhong University of Science and Technology
bookBachelor's degree, Automation, Bachelor's degree, Automation at 武汉科技大学
languagesEnglish, Chinese
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Github Skills (21)

ranking10
react9
science9
computer-science9
densenet6
cifar1006
classification5
pytorch4
resnet4
diffusion-models4
deep-learning4
tensorflow4
faster-rcnn4
segmentation3
text-to-image3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Albert0147/AaD_SFDA

May 2022 - Dec 2022

Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
Contributions:45 commits, 43 pushes, 1 branch in 7 months
source-free-domain-adaptationneurips2022neurips-2022
Contributions:29 pushes, 1 branch in 6 years 7 months
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