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Tieyao Zhang

4 papers hereh-index 317 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • cs.HC1
  • eess.AS1
same name
  • Tieyao Zhang — 2 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedMelodyGLM: Multi-task Pre-training for Symbolic Melody Generation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2026

RPPNet: Perceptually-Grouped Rhythm-Pitch Primitives for Long-Term Structure Melody Generation via Boundary-Aware Modeling

Tieyao Zhang, Yuke Liu, Jiaxing Yu +3

Existing symbolic music generation models typically use bars as the basic structural unit. However, human perception of musical phrases often does not align with notated bar lines,…

eess.AS2024

SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training

Jiaxing Yu, Xinda Wu, Yunfei Xu +4

Lyric-to-melody generation aims to automatically create melodies based on given lyrics, requiring the capture of complex and subtle correlations between them. However, previous wor…

cs.HC2024

ArchiTone: A LEGO-Inspired Gamified System for Visualized Music Education

Jiaxing Yu, Tieyao Zhang, Songruoyao Wu +4

Participation in music activities has many benefits, but often requires music theory knowledge and aural skills, which can be challenging for beginners. To help them engage more ea…

cs.SD2023★ 1 cited

MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation

Xinda Wu, Zhijie Huang, Kejun Zhang +5

Pre-trained language models have achieved impressive results in various music understanding and generation tasks. However, existing pre-training methods for symbolic melody generat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.