Ruibin Yuan is a research-focused machine learning engineer blending seven years of experience across music, speech, and multimodal AI, currently building music capabilities into AGI at Qwen while pursuing a PhD in AI at HKUST. He co-founded Multimodal Art Projection, an open-source research community that trains large language/music/multimodal models and injects creativity into foundation models, and previously trained music generation foundations at Moonshot AI. With degrees from Carnegie Mellon (Music & Technology) and BJTU (Electronics), his work bridges signal-level audio engineering and large-scale model training—papers he contributed to were accepted at venues like NeurIPS and ICLR. An avid Rock/Funk/Jazz/Blues fan, he frames AGI progress around musicality (“No music, no AGI”), reflecting a rare combination of artistic intuition and rigorous ML research.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at 香港科技大学
Master of Science, Music & Technology, Master of Science, Music & Technology at 美国卡内基梅隆大学
Bachelor's degree, Electronics Engineering, Bachelor's degree, Electronics Engineering at 北京邮电大学
Contributions:83 commits, 9 pushes, 2 branches in 1 year
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Ruibin Yuan - Research Intern at Multimodal Art Projection