Zeya Wang

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 222 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Zeya Wang trusts overall

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

  1. Diederik P. Kingma
  2. Ronald J. Williams
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Oriol Vinyals
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Zeya Wang overall

  1. Zhihong Chen
  2. Yasuhide Miura
  3. Jun Chen
  4. Fenglin Liu
  5. Yan Song

Papers from Zeya Wang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers