Yixiao Zhang
Research Scientist at Mureka
Shanghai, Germany
Summary
👤
Senior🎓
Top SchoolYixiao Zhang is a Research Scientist at ByteDance’s Seed Music team with a decade of experience at the intersection of AI and music, specializing in controllable text-to-music generation, music editing, and representation learning. He holds a PhD in Artificial Intelligence and Music from Queen Mary University of London, where he studied under Prof. Simon Dixon and Dr. Mark Levy, and previously contributed to Music X Lab at NYU Shanghai. His background includes internships at Stability AI, SonyAI, Yamaha, and Microsoft, giving him hands-on experience translating cutting-edge research into large-scale, production-oriented generative models. Based in California, he also shares insights through blog posts and answers on 知乎, reflecting a commitment to public-facing science communication. Uncommonly for researchers in his field, he blends deep MIR expertise with practical product-focused model controllability and editability work at one of the industry’s leading music AI teams.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen Mary University of LondonBachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at University of Electronic Science and Technology of China
German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (46)
music-generation10
textual10
tokenizer10
ranking10
science10
computer-science10
react10
robotics9
audio-processing9
audio9
computer-vision8
musicgen8
deep-learning8
machine-learning8
artificial-intelligence8
Programming languages (5)
Github contributions (5)
ldzhangyx/music-nlp-chatbot
Dec 2020 - Apr 2021
Contributions:2 releases, 21 commits, 13 pushes in 3 months
ldzhangyx/instruct-MusicGen
May 2024 - Jan 2026
The official implementation of our paper "Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning".
Contributions:1 release, 1 PR, 12 pushes in 1 year 7 months
language-modelmusicgen
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