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

GitHub Profile

https://github.com/chaosprint


Academic interests

  • Music AI
  • Live Coding Language Design
  • DSP
  • Embodied Music Interaction

Background

Qichao Lan is a live coder and music AI researcher. He has a background of computational linguistics and electroacoustic music composition. In 2018, he gained his master's degree in Sonic Arts at the University of Sheffield. Now, as a doctoral research fellow in the University of Oslo, he is working at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, and studying how we can manifest AI in embodied musical interactions through live coding.

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

Publications

  • Erdem, Cagri; Lan, Qichao; Fuhrer, Julian; Martin, Charles Patrick; Tørresen, Jim & Jensenius, Alexander Refsum (2020). Towards Playing in the 'Air': Modeling Motion-Sound Energy Relationships in Electric Guitar Performance Using Deep Neural Networks, In Simone Spagnol & Andrea Valle (ed.),  Proceedings of the 17th Sound and Music Computing Conference.  Axea sas/SMC Network.  ISBN 978-88-945415-0-2.  5.  s 177 - 184 Full text in Research Archive. Show summary
  • Lan, Qichao & Jensenius, Alexander Refsum (2019). QuaverSeries: A Live Coding Environment for Music Performance Using Web Technologies, In Anna Xambo Sedo; Sara R. Martin & Gerard Roma (ed.),  Proceedings of the International Web Audio Conference.  NTNU.  1. Full text in Research Archive. Show summary
  • 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 Full text in Research Archive. Show summary
  • Jensenius, Alexander Refsum; Erdem, Cagri; Kwak, Dongho Daniel; Rahman, Habibur; Glette, Kyrre; Krzyzaniak, Michael Joseph; Lan, Qichao & Fasciani, Stefano (2020). Strings On-Line. Show summary
  • 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
  • Kelkar, Tejaswinee; Erdem, Cagri & Lan, Qichao (2019). Utopia.
  • Lan, Qichao (2019). QuaverSeries: A Live Coding Environment for Music Performance Using Web Technologies.
  • Lan, Qichao; Cagri, Erdem & Jensenius, Alexander Refsum (2019). Performing with QuaverSeries Live Coding Environment.
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music.
Published Oct. 17, 2018 9:48 PM - Last modified Oct. 15, 2020 11:02 AM

Projects

Research groups