| 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 | 111 | 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 | 76 | 2019 |
| Learning interpretable representation for controllable polyphonic music generation Z Wang, D Wang, Y Zhang, G Xia arXiv preprint arXiv:2008.07122, 2020 | 70 | 2020 |
| 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 | 57 | 2020 |
| MuseBERT: Pre-training Music Representation for Music Understanding and Controllable Generation. Z Wang, G Xia ISMIR, 722-729, 2021 | 30 | 2021 |
| 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 | 19 | 2020 |
| Transferring piano performance control across environments M Xu, Z Wang, GG Xia ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 7 | 2019 |
| A framework for automated pop-song melody generation with piano accompaniment arrangement Z Wang, G Xia arXiv preprint arXiv:1812.10906, 2018 | 6 | 2018 |
| Audio-to-symbolic arrangement via cross-modal music representation learning Z Wang, D Xu, G Xia, Y Shan ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Modeling perceptual loudness of piano tone: Theory and applications Y Qu, Y Qin, L Chao, H Qian, Z Wang, G Xia arXiv preprint arXiv:2209.10674, 2022 | 2 | 2022 |
