Ying Shen

Artificial Intelligence · with Liang · 2018

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Shen trusts overall

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

  1. Amir Zadeh
  2. Louis-philippe Morency
  3. Sepp Hochreiter
  4. Geoffrey E. Hinton
  5. J. Urgen Schmidhuber
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Soujanya Poria

Who trusts Ying Shen overall

  1. Wenmeng Yu
  2. Amir Zadeh
  3. Percy Liang
  4. Hua Xu
  5. Zhongkai Sun
  6. Wei Han
  7. Yao-Hung Hubert Tsai
  8. Weiyao Wang

Papers from Ying Shen's perspective

Ordered by how strongly the researchers Ying Shen 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers