Gus Xia ,

  • Assistant Research Professor


Gus Xia

Gus (Guangyu) Xia is an Assistant Professor in Computer Science at NYU Shanghai, and also a research Assistant Professor at NYU Tandon. He holds a Ph.D. in Machine Learning from Carnegie Mellon University, where he worked with Prof. Roger Dannenberg.

Xia's main research field is Computer Music. His interdisciplinary research encompasses Machine Learning, HCI, Robotics, and Music. His representative works include human-computer interactive performances, autonomous dancing robots, smart music displays, and large-scale content-based music retrieval.

Recently, he has been building artificial music performers that are able to perform expressively in concert with human musicians by learning musicianship from rehearsals. This effort unifies expressive performance rendering and automatic accompaniment in a machine-learning framework, generating expressive and professional performances by robots and computers. See DEMOS.

Xia is also a professional DI and XIAO (Chinese flute and vertical flute) player. For more, please visit his personal website.

Research Interests
Computer Music, Artificial Music Intelligence, Human-Computer Interaction, Bio-music computing

Peking University 2010
B.S., Information Science

Carnegie Mellon University 2016
Ph.D., Machine Learning