Yong Cheng

Computer Vision and Pattern Recognition · with Yang · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Cheng trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Sergey Ioffe
  8. Yann LeCun
  9. Christian Szegedy
  10. Jonathan Ho

Who trusts Yong Cheng overall

  1. Lijun Yu

Papers from Yong Cheng's perspective

Ordered by how strongly the researchers Yong Cheng 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers