Zhen-Yu Tang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhen-Yu Tang trusts overall

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

  1. Alex Peysakhovich
  2. Adam Lerer
  3. Geoffrey E. Hinton
  4. Richard S. Sutton
  5. Sergey Levine
  6. John Schulman
  7. Andrew Y. Ng
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Oriol Vinyals

Who trusts Zhen-Yu Tang overall

  1. Chao Yu

Papers from Zhen-Yu Tang's perspective

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

Their papers