Ziyan Wu

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 598 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Ziyan Wu trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Jia Deng

Who trusts Ziyan Wu overall

  1. Tyler L. Hayes
  2. Ali Ayub
  3. Gyuhak Kim
  4. Zizhao Zhang
  5. Yulun Zhang
  6. Arthur Douillard
  7. Junsuk Choe
  8. Sina Mohseni
  9. Beomyoung Kim
  10. Hila Chefer

Papers from Ziyan Wu's perspective

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

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

Their papers