Mao Ye

Artificial Intelligence · with Liu · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 281 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mao Ye trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Jia Deng
  5. X. Zhang
  6. Yoshua Bengio
  7. Yann LeCun
  8. Shaoqing Ren
  9. Diederik P. Kingma
  10. Ross B. Girshick

Who trusts Mao Ye overall

  1. Marwa El Halabi
  2. Suraj Srinivas
  3. Simon Lacoste-Julien
  4. Lemeng Wu
  5. Hadi Pouransari

Papers from Mao Ye's perspective

Ordered by how strongly the researchers Mao Ye 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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