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20182026
most citedPOP909: A Pop-song Dataset for Music Arrangement Generation

52 citations · 183 across the 44 of their papers we have counts for

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cs.SD2026

Learning Music Style for Piano Arrangement Through Cross-Modal Bootstrapping

Jingwei Zhao, Gus Xia, Ziyu Wang +1

What is music style? Though often described using text labels such as "swing," "classical," or "emotional," the real style remains implicit and hidden in concrete music examples. I…

cs.SD2026

Calliphony: A Calligraphy-Driven Interface for Real-Time Generative Music Performance

Tristan Wu, Ruiji Yu, Gus Xia

While music generative models have recently gained significant attention, how they can be effectively integrated into live music performances still requires further exploration. Th…

cs.SD2026

DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement Learning

Tristan Wu, Daniel Chin, Junan Zhang +3

Synthesizer inversion is challenging for two main reasons: 1) Distinct parameter configurations can produce perceptually similar sounds. 2) Parameter-space losses often fail to ref…

cs.SD2026

Turning music identification into a neural forward pass

Muhammad Taimoor Haseeb, Ahmad Hammoudeh, Gus Xia

Search, a foundational operation in computer science, maps a query to a matching item in a collection. It is typically implemented as a System-2 like, rule-based pipeline in which…

cs.SD2026

ViTex: Visual Texture Control for Multi-Track Symbolic Music Generation via Discrete Diffusion Models

Xiaoyu Yi, Qi He, Gus Xia +1

In automatic music generation, a central challenge is to design controls that enable meaningful human-machine interaction. Existing systems often rely on extrinsic inputs such as t…

cs.SD2025

Automatic Melody Reduction via Shortest Path Finding

Ziyu Wang, Yuxuan Wu, Roger B. Dannenberg +1

Melody reduction, as an abstract representation of musical compositions, serves not only as a tool for music analysis but also as an intermediate representation for structured musi…