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Resume (English only)
Academic Achievements
Published works include 'Self-supervised learning via Physical Symmetry (SPS)' accepted by NeurIPS 2023, and 'Whole-song hierarchical generation' accepted as a spotlight by ICLR 2023. Main research areas cover deep music generation, multi-modal music representation learning, etc.
Research Experience
Currently an Assistant Professor in Machine Learning at MBZUAI. Was a Neukom Fellow at Dartmouth from 2016 to 2017. Leads the Music X Lab.
Education
Ph.D., Machine Learning Department, Carnegie Mellon University, Advisor: Prof. Roger Dannenberg; B.S., Information Science with a minor in Psychology, Peking University.
Background
Research interests: Design of interactive intelligent systems to extend human musical creation and expression. Professional fields: Machine Learning, HCI, Robotics, and Computer Music. Bio: Aiming to create a more creative, expressive, and interactive world through Music AI.
Miscellany
Professional DI and XIAO (Chinese flute and vertical flute) player. Former prime soloist, president, and assistant conductor of the Chinese Music Institute (CMI) at Peking University. Held solo concerts in 2010 and a Music AI concert in 2022.