Penghang Yin

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Penghang Yin trusts overall

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

  1. E.J. Candes
  2. David L. Donoho
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Joel A. Tropp
  6. Kaiming He
  7. Yann LeCun
  8. Geoffrey E. Hinton
  9. Christian Szegedy
  10. Karen Simonyan

Who trusts Penghang Yin overall

  1. Yufeng Wang
  2. Yibo Yang
  3. Raheel Qader
  4. Markus Nagel
  5. By Lei Deng
  6. Dimitrios Stamoulis
  7. Christian Reiser
  8. Aojun Zhou
  9. Xiongqiang Ma
  10. Robert Bamler

Papers from Penghang Yin's perspective

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

Their papers