Chengxiang Yin

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Chengxiang Yin trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Ian J. Goodfellow
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Alex Graves
  8. Christian Szegedy
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Chengxiang Yin overall

  1. Micah Goldblum
  2. Egor Zakharov
  3. Namyeong Kwon
  4. Liam H. Fowl
  5. Aliaksandra Shysheya
  6. Hwidong Na
  7. Tom Goldstein

Papers from Chengxiang Yin's perspective

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

Their papers