Gus XIA

My Research: Towards a more musical, expressive, and interactive world via computation.

I am broadly interested in the design of intelligent systems to extend human musical sensation and expression, especially for music performance. This research lies in the intersection of Machine Learning, HCI, Robotics, and Computer Music. My representative works include human-computer interactive performances, autonomous dancing robots, smart music displays, and large-scale content-based music retrieval.

Particularly, I build artificial music performers that are able to perform music expressively in concert with human musicians by learning musicianship from rehearsal experience. This effort unifies expressive performance rendering and automatic accompaniment in a machine-learning framework, generating expressive and professional performances by computers.

About me: A computer scientist and professional musician.

I am Neukom Postdoc Fellow at Dartmouth College. I received my Ph.D. in the Machine Learning Department at Carnegie Mellon University where I study Machine Learning and Computer Music under the advice of Prof. Roger Dannenberg. In 2010, I received my undergraduate degree in Information Science with a minor in Psychology at Peking University.

I am also a professional DI and XIAO (Chinese flute and vertical flute) player. I am currently a soloist of the Pitt Carpathian Ensemble. Prior to that, I was the prime soloist of the Chinese Music Institute (CMI) in Peking University, where I also served as the president and assistant conductor. I held my solo concert in 2010. (See Music Events at the bottom.)


News: I will join NYU Shanghai as an assistant professor in Computer Science in September 2017. I am looking for passionate PhD and undergraduate students to join my Computer Music research.
Publications
Authors Title Year Book/Journal/Proceedings
G. Xia, K. Mao, M. Fu, S. Cosentino, G.Trovato, S. Sessa, A. Takanishi, and R. Dannenberg Expressive Humanoid Robot for Automatic Accompaniment.
[PDF] [Slides]
2016 Proc. 13th the International Conference on Sound and Music Computing (SMC)
G. Xia, Y. Wang, R. Dannenberg, and G. Gordon Spectral Learning for Expressive Interactive Ensemble Music Performance.
[PDF] [Slides] [Audio Demo]
2015 Proc. 16th the International Conference on Music Information Retrieval (ISMIR)
M. Fu, G. Xia, R. Dannenberg, and L. Wasserman A Statistical View on the Expressive Timing of Piano Rolled Chords.
[PDF] [Poster]
2015 Proc. 16th the International Conference on Music Information Retrieval (ISMIR)
G. Xia & R. Dannenberg Duet Interaction: Learning Musicianship for Automatic Accompaniment.
[PDF] [Slides] [Audio Demo] [Data]
2015 Proc. 15th the International Conference on New Interfaces for Musical Expression (NIME)
G. Xia, T. Huang, Y. Ma, R. Dannenberg, and C. Faloutsos MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases.
[PDF] [Website: online MIDI search]
2014 Sound, Music, and Motion, LNCS 2014, pp 259 - 276
R. Dannenberg, N. Gold, D. Liang, and G. Xia Methods and Prospects for Human Computer Performance of Popular Music.
[PDF Coming Soon]
2014 Computer Music Journal 38 (2): 36-50 (2014)
R. Dannenberg, N. Gold, D. Liang, and G. Xia Active Scores: Representation and Synchronization in Human-Computer Performance of Popular Music.
[PDF Coming Soon]
2014 Computer Music Journal 38 (2): 51-62 (2014)
T. Huang, G. Xia, Y. Ma, R. Dannenberg, and C. Faloutsos MidiFind: Fast and Effective Similarity Searching in Large MIDI Databases.
[PDF] [Slides]
2013 Proc. 10th the International Symposium on Computer Music and Multidisciplinary Research (CMMR)
G. Xia, J. Tay, R. Dannenberg, and M. Veloso Autonomous Robot Dancing Driven by Beats and Emotions of Music.
[PDF] [Slides] [Demo1] [Demo2]
2012 Proc. 12th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
G. Xia, D. Liang, R. Dannenberg, and M. Harvilla Segmentation, Clustering, and Display in a Personal Audio Database for Musicians.
[PDF] [Poster]
2011 Proc. 12th the International Conference on Music Information Retrieval (ISMIR)
D. Liang, G. Xia, and R. Dannenberg A Framework for Coordination and Synchronization of Media.
[PDF] [Slides] [Talk + Demo]
2011 Proc. 11th the International Conference on New Interfaces for Musical Expression (NIME)
Guest Lecturer
Author Course: Topic Year Institution
Prof. Roger Dannenberg & Prof. Jim Roberts Principles of Computing for Creative Practice: Open Sound Control and its Applications in Music Performance Fall 2014 Carnegie Mellon
Prof. Riccardo Schulz Sound Recording: The Design and Acoustic Properties of the Chinese Flute Fall 2014 Carnegie Mellon
Prof. Jun Wang Alumni Lecture Series of Information Science Department: The History and Future of Computer-aided Music Performance Fall 2013 Peking University
Teaching Assistant
Instructor Course Title Year Institution
Prof. Roger Dannenberg 15-323: Computer Music System and Information Processing Spring 2014 Carnegie Mellon
Prof. Roger Dannenberg
15-322: Introduction to Computer Music. Spring 2013 Carnegie Mellon
Industry Experience
Mentor Project Year Institution
Dr. Tristan Jehan Improvement on Echo Nest’s beat tracking algorithm Summer 2013 The Echo Nest
Dr. Bob Coover
Improvement on Gracenote’s Music Fingerprint Summer 2012 Gracenote
Selected Music Event
Title Description Year Institution
Sally Garden Human-Robot Interactive Performances in collaboration with the world-leading saxphone robot [Video] and piano robot [Video]. Fall 2015 Carnegie Mellon, Waseda University, and TeoTronica Inc.
Laptop Orchestra
A collection of distributed performers who play laptop computers as instrument. [Webpage] [Poster] Summer 2012 Carnegie Mellon
DI & XIAO Solo Concert
Some representitive pieces of DI and XIAO were performed, including: [Video1] [Video2] [Video3] [Video4] [Video5] Summer 2010 Peking University
Theses
Description Title Year Institution
Ph.D. thesis proposal Expressive Collaborative Music Performance via Machine Learning [PDF] 2014 Carnegie Mellon
M.S. Machine Learning Fast and Effective Similarity Searching in Large MIDI Databases [PDF] 2013 Carnegie Mellon

 

 

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