Guoxian Song
Sr Applied Scientist at Adobe
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolGuoxian Song is a Sr. Applied Scientist based in San Jose with a decade of experience building production-grade generative AI systems, currently advancing multimedia intelligence at Adobe. He earned a PhD in Computer Science from Nanyang Technological University and spent several years at ByteDance as a research scientist developing state-of-the-art virtual human video generation focused on realistic appearance, expression, and motion. His background blends rigorous academic research with hands-on production work, including internships and collaborations on portrait generation projects with leading researchers. Trained originally in mathematics, he pairs strong theoretical foundations with practical systems skills to deliver scalable, realistic digital human experiences.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Science and Technology of ChinaVisiting Student, Manga & Japanese popular culture, Visiting Student, Manga & Japanese popular culture at The University of British ColumbiaResearch Student, Intelligence Science and Technology, Research Student, Intelligence Science and Technology at Kyoto UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Nanyang Technological University Singapore
Chinese, English, Japanese
Github Skills (16)
prediction5
3d-models3
face3
face-recognition3
arxiv2
large-scale2
3d-reconstruction2
computer-graphics2
face-detection2
scale2
face-alignment2
generative-adversarial-network2
computer-vision2
pytorch2
region1
Programming languages (2)
Github contributions (5)
GuoxianSong/Shadow-aware-portrait-relight
Nov 2020 - Aug 2022
Contributions:13 commits, 17 pushes, 2 branches in 1 year 8 months
GuoxianSong/AgileGAN
Apr 2021 - Aug 2022
Contributions:6 commits, 5 pushes, 1 branch in 1 year 3 months
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