Shulei Ji
Orcid: 0000-0002-9908-136X
According to our database1,
Shulei Ji authored at least 17 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives.
ACM Comput. Surv., August, 2026
Disentangle to edit: instruction-guided latent manipulation for 3D facial video consistency.
Multim. Syst., June, 2026
Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation.
CoRR, November, 2025
CoRR, February, 2025
Multi-Accent Mandarin Dry-Vocal Singing Dataset: Benchmark for Singing Accent Recognition.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Generative Music Models' Alignment with Professional and Amateur Users' Expectations.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., August, 2024
A Survey on Deep Learning for Symbolic Music Generation: Representations, Algorithms, Evaluations, and Challenges.
ACM Comput. Surv., January, 2024
EmoMusicTV: Emotion-Conditioned Symbolic Music Generation With Hierarchical Transformer VAE.
IEEE Trans. Multim., 2024
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2024
MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
2020
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions.
CoRR, 2020
2019