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Ping Yu

10 papers hereh-index 8444 citations15 works total

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

author position
  • first author5
  • middle author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV3
  • cs.LG3
  • cs.GR1
same name
  • Ping Yu — 14 papers, h 11
  • Ping Yu — 6 papers, h 7
  • Ping Yu — 5 papers, h 20
  • Ping Yu — 3 papers, h 4
  • Ping Yu — 3 papers, h 1
  • Ping Yu — 3 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
20192022
most citedTensorFlow.js: Machine Learning for the Web and Beyond

132 citations · 167 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 3 cited

ReMP: Rectified Metric Propagation for Few-Shot Learning

Yang Zhao, Chunyuan Li, Ping Yu +1

Few-shot learning features the capability of generalizing from a few examples. In this paper, we first identify that a discriminative feature space, namely a rectified metric space…

cs.GR2020★ 1 cited

Structure-Aware Human-Action Generation

Ping Yu, Yang Zhao, Chunyuan Li +2

Generating long-range skeleton-based human actions has been a challenging problem since small deviations of one frame can cause a malformed action sequence. Most existing methods b…

cs.LG2020★ 1 cited

Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck

Yang Zhao, Ping Yu, Suchismit Mahapatra +2

Variational autoencoders (VAEs) are essential tools in end-to-end representation learning. However, the sequential text generation common pitfall with VAEs is that the model tends…

cs.LG2020★ 28 cited

Feature Quantization Improves GAN Training

Yang Zhao, Chunyuan Li, Ping Yu +2

The instability in GAN training has been a long-standing problem despite remarkable research efforts. We identify that instability issues stem from difficulties of performing featu…

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