Rico Zhu

According to our database, Rico Zhu authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation.

Stephen Ni-Hahn, Rico Zhu, Jerry Yin, Yue Jiang, Cynthia Rudin, Simon Mak

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A PDE-Informed Latent Diffusion Model for 2-m Temperature Downscaling.

Paul Rosu, Muchang Bahng, Erick Jiang, Rico Zhu, Vahid Tarokh

CoRR, October, 2025

2024

Oogway: Designing, Implementing, and Testing an AUV for RoboSub 2023.

Will Denton, Lilly Chiavetta, Michael Bryant, Vedarsh Shah, Rico Zhu, Ricky Weerts, Phillip Xue, Vincent Chen, Hung Le, Maxwell Lin, Austin Camacho, Drew Council, Ethan Horowitz, Jackie Ong, Morgan Chu, Alex Pool

CoRR, 2024

Technical Design Review of Duke Robotics Club's Oogway: An AUV for RoboSub 2024.

Will Denton, Michael Bryant, Lilly Chiavetta, Vedarsh Shah, Rico Zhu, Philip Xue, Vincent Chen, Maxwell Lin, Hung Le, Austin Camacho, Raul Galvez, Nathan Yang, Nathanael Ren, Tyler Rose, Mathew Chu, Amir Ergashev, Saagar Arya, Kaelyn Pieter, Ethan Horowitz, Maanav Allampallam, Patrick Zheng, Mia Kaarls, June Wood

CoRR, 2024

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

Stephen Ni-Hahn, Weihan Xu, Jerry Yin, Rico Zhu, Simon Mak, Yue Jiang, Cynthia Rudin

CoRR, 2024

SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization.

Stephen Hahn, Jerry Yin, Rico Zhu, Weihan Xu, Yue Jiang, Simon Mak, Cynthia Rudin

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.

Stephen Ni-Hahn, Weihan Xu, Zirui Yin, Rico Zhu, Simon Mak, Yue Jiang, Cynthia Rudin

Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

2023

An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation.

Stephen Hahn, Rico Zhu, Simon Mak, Cynthia Rudin, Yue Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023