activity
20182021
most citedPOP909: A Pop-song Dataset for Music Arrangement Generation

52 citations · 97 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2021

A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction

Ziyu Wang, Jie Yang, Mohamad Sawan

Accurate prediction of epileptic seizures allows patients to take preventive measures in advance to avoid possible injuries. In this work, a novel convolutional neural network (CNN…

cs.SD202052 cited

POP909: A Pop-song Dataset for Music Arrangement Generation

Ziyu Wang, Ke Chen, Junyan Jiang +5

Music arrangement generation is a subtask of automatic music generation, which involves reconstructing and re-conceptualizing a piece with new compositional techniques. Such a gene…

cs.SD202020 cited

Learning Interpretable Representation for Controllable Polyphonic Music Generation

Ziyu Wang, Dingsu Wang, Yixiao Zhang +1

While deep generative models have become the leading methods for algorithmic composition, it remains a challenging problem to control the generation process because the latent vari…

eess.AS202021 cited

PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

Ziyu Wang, Yiyi Zhang, Yixiao Zhang +4

The dominant approach for music representation learning involves the deep unsupervised model family variational autoencoder (VAE). However, most, if not all, viable attempts on thi…

cs.SD2019

Deep Music Analogy Via Latent Representation Disentanglement

Ruihan Yang, Dingsu Wang, Ziyu Wang +3

Analogy-making is a key method for computer algorithms to generate both natural and creative music pieces. In general, an analogy is made by partially transferring the music abstra…

cs.SD20184 cited

A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement

Ziyu Wang, Gus Xia

We contribute a pop-song automation framework for lead melody generation and accompaniment arrangement. The framework reflects the major procedures of human music composition, gene…