About Me
I am currently a Research Scientist at Seed Music Team, ByteDance. My research centers on controllable music generation, music editing, music representation learning, and various MIR tasks.
I received the PhD degree in Artificial Intelligence and Music at Centre for Digital Music (C4DM), Queen Mary University of London. I am honoured to be advised by Prof. Simon Dixon and Dr. Mark Levy. Before that, I was a Research Assistant at the Music X Lab, NYU Shanghai. from 2019 to 2020, supervised by Dr. Gus Xia. I received the Bachelor of Engineering degree in Computer Science and Technology from University of Electronic Science and Technology of China (UESTC).
I write blogs and answers at 知乎. 给MIR新手的学习建议.
I participate in the development of ISMIR website. MIR labs list, Datasets.
News
- [Nov. 2024] I received my award letter. I am a Doctor now!
- [Nov. 2024] I will co-organise MIREX 2024 challenge, a satellite event at ISMIR 2024.
- [Nov. 2024] I have passed my PhD viva!
- [Oct. 2024] I have joined Seed Music Team @ ByteDance, as a Research Scientist.
- [Jul. 2024] I have 1 paper accepted to NLPMusA workshop at ISMIR 2024!
- [Jun. 2024] I have 1 paper accepted to ISMIR 2024.
- [Apr. 2024] I have 2 papers accepted to IJCAI 2024.
- [Feb. 2024] I will join Harmonai group at Stability.ai as an intern during May - Oct 2024.
- [Jan. 2024] My new paper, "MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models", is now at arxiv.
- [Oct. 2023] I will join Music Foundation Team at Sony Research as an intern during Oct 2023 - Apr 2024.
- [Jun. 2023] I will join Yamaha Corporation as an intern during Jun - Sep 2023.
Education
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Queen Mary University of London
Degree: Ph.D. in Artificial Intelligence and Music (jointly sponsored by QMUL & Apple)
Duration: 2020 - 2024
Supervisors: Prof. Simon Dixon, Dr. Mark Levy
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University of Electronic Science and Technology of China
Degree: B.Eng. in Computer Science
Duration: 2015 - 2019
Selected Publications
Please see Google Scholar for full publication list.
First-author papers
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NLP4MusA 2024
Yongyi Zang*, Yixiao Zhang*
The 3rd Workshop on NLP for Music and Audio (NLP4MusA) at ISMIR 2024
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arxiv 2024
Yixiao Zhang, Yukara Ikemiya, Naoki Murata, Woosung Choi, Marco Martínez, Liwei Lin, Gus Xia, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon
Preprint.
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IJCAI 2024
Yixiao Zhang, Yukara Ikemiya, Gus Xia, Naoki Murata, Marco Martínez, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon
The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) - AI, Arts & Creativity Track
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arxiv 2023
Yixiao Zhang, Akira Maezawa, Gus Xia, Kazuhiko Yamamoto, Simon Dixon
Preprint.
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ISMIR 2022
Yixiao Zhang, Junyan Jiang, Gus Xia and Simon Dixon
The 23rd International Society for Music Information Retrieval Conference (ISMIR 2022)
PDF
Code
Best Paper Award nomination
Other papers
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IJCAI 2024
Liwei Lin, Gus Xia, Yixiao Zhang, Junyan Jiang
The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) - AI, Arts & Creativity Track
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ISMIR 2024
Liwei Lin, Gus Xia, Junyan Jiang, Yixiao Zhang
The 25th International Society for Music Information Retrieval Conference (ISMIR 2024)
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NeurIPS 2023 Workshop
Ilaria Manco, Benno Weck, Seungheon Doh, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, George Fazekas, Juhan Nam, Minz Won
NeurIPS 2023 Workshop on Machine Learning for Audio
Work
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ByteDance
Team: Seed Music Team
Role: Research Scientist
Responsibility: Working on building advanced large-scale music generation models.
Oct 2024 - Now
Internships
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Stability.ai
Topics: Research on music large language models
Advisors: Dr. Jordi Pons, Dr. Julian Parker
May 2024 - Oct 2024
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Sony Research
Topics: Text-based music editing with diffusion models
Advisors: Yukara Ikemiya
Oct 2023 - Apr 2024
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Yamaha Corporation
Topics: Conversational interface for interative music creation
Advisors: Dr. Akira Maezawa
Jun 2023 - Sep 2023
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Microsoft Research Asia
Topics: Theoretical research of reinforcement learning
Advisors: Dr. Weiqing Liu and Dr. Xiao Yang
Oct 2018 - Jun 2019
Services
Conference Reviewers
- IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, 2025
- International Society for Music Information Retrieval Conference (ISMIR), 2023, 2024
- The International Conference on Learning Representations (ICLR), 2025
- ACM Multimedia (ACM MM), 2024
- Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
- Annual Conference on Neural Information Processing Systems (NeurIPS), Dataset and Benchmark Track, 2024
- International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
- ACM Conference on Human Factors in Computing Systems (CHI), 2025
- NeurIPS Workshop on Creativity & Generative AI, 2024
- The International AAAI Conference on Web and Social Media (ICWSM), 2025
- IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2024
- Workshop on NLP for Music and Audio (NLP4MusA @ ISMIR), 2024
Journal Reviewers
Committee Members, Chairs
Teaching
Teaching Assistant
- ECS7013P Deep Learning for Music and Audio (2023 Sem B)
- ECS784P Data Analytics (2023 Sem B)
- ECS708P Machine Learning (2023 Sem A)
- ECS759P Artificial Intelligence (2023 Sem A, 2022 Sem B, 2022 Sem A)
- ECS7020P Principles of Machine Learning (2022 Sem A)
Invited Talks
- 2024.09, "Text-Driven Controllable Music Generation and Editing with Large Foundation Models", at China Audio Industry Association. link
- 2023.10, "Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing", at UCSD AI Music Reading Group, University of California San Diego.
- 2022.09, "Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model", at Music + AI Reading Group , MILA.
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