Qichao Lan
Doctoral Research Fellow
Norwegian version of this page
Email
qichao.lan@imv.uio.no
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.
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