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Junyan Jiang

11 papers hereh-index 12713 citations19 works total

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

author position
  • first author2
  • middle author8
  • last author1

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.SD7
  • cs.AI1
  • cs.IR1
  • cs.LG1
  • eess.AS1
same name
  • Junyan Jiang — 6 papers, h 2
  • Junyan Jiang — 1 paper
  • Junyan Jiang — 1 paper, h 2

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
20192024
most citedPOP909: A Pop-song Dataset for Music Arrangement Generation

52 citations · 157 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.SD2020★ 52 cited

POP909: A Pop-song Dataset for Music Arrangement Generation

Ziyu Wang, Ke Chen, Junyan Jiang +5

Music arrangement generation is a subtask of automatic music generation, which involves reconstructing and re-conceptualizing a piece with new compositional techniques. Such a gene…

eess.AS2020★ 21 cited

PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

Ziyu Wang, Yiyi Zhang, Yixiao Zhang +4

The dominant approach for music representation learning involves the deep unsupervised model family variational autoencoder (VAE). However, most, if not all, viable attempts on thi…

cs.IR2020

Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty

Junyang Jiang, Deqing Yang, Yanghua Xiao +1

Most of existing embedding based recommendation models use embeddings (vectors) corresponding to a single fixed point in low-dimensional space, to represent users and items. Such e…

cs.LG2020★ 35 cited

Deeper Insights into Weight Sharing in Neural Architecture Search

Yuge Zhang, Zejun Lin, Junyang Jiang +5

With the success of deep neural networks, Neural Architecture Search (NAS) as a way of automatic model design has attracted wide attention. As training every child model from scrat…

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