Stephen Ni-Hahn

Orcid: 0009-0006-9699-3925

Affiliations:
  • Duke University, Durham, NC, USA


According to our database1, Stephen Ni-Hahn authored at least 7 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis.
CoRR, October, 2025

2024
A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis.
CoRR, 2024

SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis.
Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

2023
An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021
BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization for Four-part Baroque Chorales.
CoRR, 2021


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