Qichao Lan

Doctoral Research Fellow
Image of Qichao Lan
Norwegian version of this page
Room V01-03
Username
Visiting address Forskningsveien 3A Harald Schjelderups hus 0373 Oslo
Postal address Post box 1133 Blindern 0318 Oslo

Academic interests

  • Music and Moves
  • Computational Music Generation
  • Live Coding

Background

Qichao Lan is a music programmer. His current research focuses on music-related motion analysis and computational music generation.  Using deep learning technology, as well as programming languages like Python and SuperCollider, he designs music applications and computational model for different researches. His current research focuses on the gestures and embodiment in live coding music performances.

Tags: Live Coding, Deep Learning, Music and Motion, Music Technology, Music Programming, SuperCollider

Publications

  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music Generation, In Isabel Barbancho; Lorenzo J. Tardón; Alberto Peinado & Ana M. Barbancho (ed.),  SMC 2019 Proceedings of the 16th Sound & Music Computing Conference.  Society for Sound and Music Computing.  ISBN 978-84-09-08518-7.  P2.1.  s 217 - 222
  • Jensenius, Alexander Refsum; Erdem, Cagri; Zelechowska, Agata; Lan, Qichao; Fuhrer, Julian Peter & Gonzalez Sanchez, Victor Evaristo (2019). Entraining Guitars.
  • Jensenius, Alexander Refsum; Martin, Charles Patrick; Erdem, Cagri; Lan, Qichao; Fuhrer, Julian Peter; Gonzalez Sanchez, Victor Evaristo; Zelechowska, Agata; Glette, Kyrre & Nymoen, Kristian (2019). Self-playing Guitars. Show summary
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music.
  • Schia, Katja Henriksen; Erdem, Cagri; Lan, Qichao & Jensenius, Alexander Refsum (2018). Music-Dance Performance: "Rhythm".
Published Oct. 17, 2018 9:48 PM - Last modified May 11, 2019 7:24 PM