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Yang Wang

19 papers hereh-index 13521 citations21 works total

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

author position
  • sole author2
  • middle author10
  • last author6

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • math.NA5
  • cs.CV1
  • cs.HC1
  • cs.IT1
  • cs.NE1
same name
  • Yang Wang — 91 papers, h 102
  • Yang Wang — 34 papers, h 24
  • Yang Wang — 20 papers, h 14
  • Yang Wang — 15 papers, h 3
  • Yang Wang — 14 papers, h 6
  • Yang Wang — 12 papers, h 10

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
20152023
most citedAdvbox: a toolbox to generate adversarial examples that fool neural networks

40 citations · 171 across the 18 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.HC2019★ 14 cited

Deck.gl: Large-scale Web-based Visual Analytics Made Easy

Yang Wang

In this paper, we demonstrate how deck.gl, an open-source project born out of data-heavy visual analytics applications, has grown into the robust visualization framework it is toda…

stat.ML2019

Optimal low rank tensor recovery

Jian-Feng Cai, Lizhang Miao, Yang Wang +1

We investigate the sample size requirement for exact recovery of a high order tensor of low rank from a subset of its entries. In the Tucker decomposition framework, we show that t…

cs.LG2019★ 5 cited

Wasserstein-Wasserstein Auto-Encoders

Shunkang Zhang, Yuan Gao, Yuling Jiao +3

To address the challenges in learning deep generative models (e.g.,the blurriness of variational auto-encoder and the instability of training generative adversarial networks, we pr…

cs.LG2019★ 4 cited

Deep Generative Learning via Variational Gradient Flow

Yuan Gao, Yuling Jiao, Yang Wang +3

We propose a general framework to learn deep generative models via \textbf{V}ariational \textbf{Gr}adient Fl\textbf{ow} (VGrow) on probability spaces. The evolving distribution tha…

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