Hengyuan Hu

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 8 papers; trusts 129 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Hengyuan Hu trusts overall

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

  1. Jakob N. Foerster
  2. Richard S. Sutton
  3. David Silver
  4. Noam Brown
  5. Diederik P. Kingma
  6. Geoffrey E. Hinton
  7. Tom Schaul
  8. Hado van Hasselt
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Hengyuan Hu overall

  1. Adam Lerer
  2. Chao Yu
  3. Jian-Hao Luo
  4. Hadi Nekoei
  5. Jonathan Frankle
  6. Jakob N. Foerster
  7. Noam Brown
  8. Ben Mussay
  9. Shaohui Lin
  10. Yang He

Papers from Hengyuan Hu's perspective

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

Their papers