Ziyu Wang (汪子俞)

Ziyu Wang is a PhD student in GSAS Computer Science program. He is doing research under the advice of Prof. Gus Xia. His research interest lies in the intersection of artificial intelligence and computer music, with special interest in understanding the creativity inside music composition and performance. Currently, he is working on deep generative models and music representation learning. In addition to his academic pursuits, he is also a musician, possessing skills in conducting, composition, and piano and Chinese Erhu performance.

Publications

• S. Wei, Z. Wang, W. Gao, G. Xia, “Controllable Music Inpainting With Mixed-level and Disentangled Representation”, Proceedings of 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2023
• Y. Qu, Y. Qin, L. Chao, H, Qian, Z. Wang, and G. Xia, “Modeling Perceptual Loudness of Piano Tone: Theory and Applications”, Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR), Dec 2022
• Z. Wang, D. Xu, G. Xia, and Y. Shan, “Audio-To-Symbolic Arrangement Via Cross-Modal Music Representation Learning”, Proceedings of 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022
• Z. Wang, and G. Xia, “MuseBERT: Pre-training of Music Representation for Music Understanding and Controllable Generation”, Proceedings of the 22nd International Society for Music Information Retrieval Conference (ISMIR), Nov 2021
• Z. Wang, D. Wang, Y. Zhang and G. Xia, “Learning Interpretable Representation for Controllable Polyphonic Music Generation”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), Nov 2020
• Z. Wang, Y. Zhang, Y. X. Zhang, J. Jiang, J. Zhao and G. Xia, “PIANOTREE VAE: Structured Representation Learning for Polyphonic Music”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), Nov 2020
• Z. Wang, K. Chen, Y.Zhang, J. Jiang, M. Xu, S. Dai and G. Xia, “POP909: A Pop-Song Dataset for Music Arrangement Generation”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), Nov 2020
• Y. Zhang, Z. Wang, D. Wang, G. Xia, “BUTTER: A Representation Learning Framework for Bi-directional Music-Sentence Retrieval and Generation”, Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), Nov 2020
• R. Yang, D. Wang, Z. Wang, T. Chen, J. Jiang and G. Xia, “Deep Music Analogy Via Latent Representation Disentanglement”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Nov 2019
• M. Xu, Z. Wang and G. Xia, “Transferring Piano Performance Control Across Environments”, Proceedings of the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019
• Z. Wang and G. Xia, “A Framework for Automated Pop-song Melody Generation and Piano Accompaniment Arrangement”, Proceedings of the 6th Conference on Sound and Music Technology, Nov 2018