| Pop909: A pop-song dataset for music arrangement generation Z Wang, K Chen, J Jiang, Y Zhang, M Xu, S Dai, X Gu, G Xia arXiv preprint arXiv:2008.07142, 2020 | 141 | 2020 |
| Transformer vae: A hierarchical model for structure-aware and interpretable music representation learning J Jiang, GG Xia, DB Carlton, CN Anderson, RH Miyakawa ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 108 | 2020 |
| Deep music analogy via latent representation disentanglement R Yang, D Wang, Z Wang, T Chen, J Jiang, G Xia arXiv preprint arXiv:1906.03626, 2019 | 82 | 2019 |
| Learning interpretable representation for controllable polyphonic music generation Z Wang, D Wang, Y Zhang, G Xia arXiv preprint arXiv:2008.07122, 2020 | 78 | 2020 |
| Music style transfer: A position paper S Dai, Z Zhang, GG Xia arXiv preprint arXiv:1803.06841, 2018 | 77 | 2018 |
| Autonomous robot dancing driven by beats and emotions of music G Xia, J Tay, R Dannenberg, M Veloso Proceedings of the 11th International Conference on Autonomous Agents and …, 2012 | 76 | 2012 |
| The effect of explicit structure encoding of deep neural networks for symbolic music generation K Chen, W Zhang, S Dubnov, G Xia, W Li 2019 International workshop on multilayer music representation and …, 2019 | 71 | 2019 |
| Mert: Acoustic music understanding model with large-scale self-supervised training Y Li, R Yuan, G Zhang, Y Ma, X Chen, H Yin, C Xiao, C Lin, A Ragni, ... arXiv preprint arXiv:2306.00107, 2023 | 67 | 2023 |
| Pianotree vae: Structured representation learning for polyphonic music Z Wang, Y Zhang, Y Zhang, J Jiang, R Yang, J Zhao, G Xia arXiv preprint arXiv:2008.07118, 2020 | 61 | 2020 |
| Spectral Learning for Expressive Interactive Ensemble Music Performance. G Xia, Y Wang, RB Dannenberg, G Gordon ISMIR, 816-822, 2015 | 45 | 2015 |
| A unified model for zero-shot music source separation, transcription and synthesis L Lin, Q Kong, J Jiang, G Xia arXiv preprint arXiv:2108.03456, 2021 | 38 | 2021 |
| MuseBERT: Pre-training Music Representation for Music Understanding and Controllable Generation. Z Wang, G Xia ISMIR, 722-729, 2021 | 35 | 2021 |
| Improvised Duet Interaction: Learning Improvisation Techniques for Automatic Accompaniment GG Xia, R Dannenberg New Interface for Musical Expression, 2017 | 31 | 2017 |
| Large-Vocabulary Chord Transcription via Chord Structure Decomposition. J Jiang, K Chen, W Li, G Xia ISMIR, 644-651, 2019 | 30 | 2019 |
| Methods and prospects for human–computer performance of popular music RB Dannenberg, NE Gold, D Liang, G Xia Computer Music Journal 38 (2), 36-50, 2014 | 30 | 2014 |
| Expressive humanoid robot for automatic accompaniment G Xia, M Kawai, K Matsuki, M Fu, S Cosentino, G Trovato, R Dannenberg, ... Proceedings of the Sound and Music Computing Conference, 2016 | 27 | 2016 |
| MidiFind: fast and effective similarity searching in large MIDI databases T Huang, G Xia, Y Ma, R Dannenberg, C Faloutsos Proc. of the 10th International Symposium on Computer Music …, 2013 | 26 | 2013 |
| Chatmusician: Understanding and generating music intrinsically with llm R Yuan, H Lin, Y Wang, Z Tian, S Wu, T Shen, G Zhang, Y Wu, C Liu, ... arXiv preprint arXiv:2402.16153, 2024 | 24 | 2024 |
| BUTTER: A representation learning framework for bi-directional music-sentence retrieval and generation Y Zhang, Z Wang, D Wang, G Xia Proceedings of the 1st workshop on nlp for music and audio (nlp4musa), 54-58, 2020 | 24 | 2020 |
| Continuous melody generation via disentangled short-term representations and structural conditions K Chen, G Xia, S Dubnov 2020 IEEE 14th International Conference on Semantic Computing (ICSC), 128-135, 2020 | 22 | 2020 |
Roger B. DannenbergProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
