Yandong Wang

Computer Vision and Pattern Recognition · with Liu · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yandong Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alex Krizhevsky

Papers from Yandong Wang's perspective

Ordered by how strongly the researchers Yandong Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Multiple Layers of Features from Tiny Images
  2. ImageNet: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  5. ImageNet classification with deep convolutional neural networks
  6. Large Scale Distributed Deep Networks
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Caffe: Convolutional Architecture for Fast Feature Embedding
  10. Practical Bayesian Optimization of Machine Learning Algorithms

Their papers