A comprehensive survey on deep music generation: Multi-level representations, algorithms, evaluations, and future directions S Ji, J Luo, X Yang arXiv preprint arXiv:2011.06801, 2020 | 197 | 2020 |
A survey on deep learning for symbolic music generation: Representations, algorithms, evaluations, and challenges S Ji, X Yang, J Luo ACM Computing Surveys 56 (1), 1-39, 2023 | 73 | 2023 |
MG-VAE: deep Chinese folk songs generation with specific regional styles J Luo, X Yang, S Ji, J Li Proceedings of the 7th Conference on Sound and Music Technology (CSMT …, 2020 | 40 | 2020 |
Emomusictv: Emotion-conditioned symbolic music generation with hierarchical transformer vae S Ji, X Yang IEEE Transactions on Multimedia 26, 1076-1088, 2023 | 21 | 2023 |
ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition Z Huang, S Ji, Z Hu, C Cai, J Luo, X Yang INTERSPEECH 2022, 2022 | 10 | 2022 |
Rl-chord: Clstm-based melody harmonization using deep reinforcement learning S Ji, X Yang, J Luo, J Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 8 | 2023 |
Emotion-conditioned melody harmonization with hierarchical variational autoencoder S Ji, X Yang 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | 7 | 2023 |
Muser: Musical element-based regularization for generating symbolic music with emotion S Ji, X Yang Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12821 …, 2024 | 4 | 2024 |
Q-MMT: Qinqiang Opera Generation Based on Multi-track Music Transformer Y Li, Z Cheng, S Ji, X Yang 2024 International Conference on Cyber-Enabled Distributed Computing and …, 2024 | | 2024 |