In 2010, I received my undergraduate degree in Information Science with a minor in Psychology at Peking University. I was a Neukom Fellow at Dartmouth from 2016 to 2017. ![]() ![]() in the Machine Learning Department at Carnegie Mellon University where I study Machine Learning and Computer Music under the advice of Prof. I am an Assistant Professor in Computer Science at NYU Shanghai. These efforts unify expressive performance rendering, automatic accompaniment, and algorithmic composition in a machine-learning framework, making music a more accessible and friendly tool for everyone.Ībout me: A computer scientist and professional musician. Particularly, I build music agents that compose and arrange music via style transfer and analogy, perform and improvise music expressively in concert with human musicians by learning from rehearsal experience, and tutor music beginners using haptic guidance. My representative works include interactive composition via style transfer, human-computer interactive performances, autonomous dancing robots, large-scale content-based music retrieval, haptic guidance for flute tutoring, and bio-music computing using slime mold. This research lies in the intersection of Machine Learning, HCI, Robotics, and Computer Music. I am broadly interested in the design of interactive intelligent systems to extend human musical creation and expression. My Research: Towards a more creative, expressive, interactive world via Music AI.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |