Niao He

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 15 papers; trusts 237 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Niao He trusts overall

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

  1. Yurii E. Nesterov
  2. Richard S. Sutton
  3. Dimitri P. Bertsekas
  4. Geoffrey E. Hinton
  5. Arkadi Nemirovski
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Radford M. Neal
  9. Michael I. Jordan
  10. Alex Krizhevsky

Who trusts Niao He overall

  1. Bo Dai
  2. Ofir Nachum
  3. Qiang Liu
  4. Lihong Li
  5. Ziyang Tang
  6. Gauthier Gidel
  7. Jiaxin Shi
  8. Yihao Feng
  9. Donghwan Lee
  10. Mengjiao Yang

Papers from Niao He's perspective

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