Yujie Gai

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yujie Gai trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. X. Zhang
  6. Ronald J. Williams
  7. Jia Deng
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Ilya Sutskever

Papers from Yujie Gai's perspective

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

Their papers