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Y. Wu

82 papers hereh-index 5411.4k citations187 works total

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

author position
  • first author1
  • middle author34
  • last author46

Across the 81 of 82 papers where every author was matched, so the position is known.

fields
  • cs.CV27
  • cs.LG20
  • stat.ML20
  • cs.AI4
  • cs.CL3
  • cs.RO3
same name
  • Y. Wu — 596 papers
  • Y. Wu — 136 papers
  • Y. Wu — 134 papers, h 11
  • Y. Wu — 124 papers, h 12
  • Y. Wu — 102 papers
  • Y. Wu — 97 papers, h 5

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
20112023
most citedA Theory of Generative ConvNet

167 citations · 1k across the 81 of their papers we have counts for

collaborators
Showing 2016 · stat.MLShow all

4 papers · 2 filters

stat.ML2016★ 30 cited

Cooperative Training of Descriptor and Generator Networks

Jianwen Xie, Yang Lu, Ruiqi Gao +2

This paper studies the cooperative training of two generative models for image modeling and synthesis. Both models are parametrized by convolutional neural networks (ConvNets). The…

stat.ML2016★ 48 cited

Alternating Back-Propagation for Generator Network

Tian Han, Yang Lu, Song-Chun Zhu +1

This paper proposes an alternating back-propagation algorithm for learning the generator network model. The model is a non-linear generalization of factor analysis. In this model,…

stat.ML2016★ 9 cited

Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet

Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Video sequences contain rich dynamic patterns, such as dynamic texture patterns that exhibit stationarity in the temporal domain, and action patterns that are non-stationary in eit…

stat.ML2016★ 167 cited

A Theory of Generative ConvNet

Jianwen Xie, Yang Lu, Song-Chun Zhu +1

We show that a generative random field model, which we call generative ConvNet, can be derived from the commonly used discriminative ConvNet, by assuming a ConvNet for multi-catego…

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