Huanru Henry Mao

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 81 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Huanru Henry Mao trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Aäron van den Oord
  8. Ashish Vaswani
  9. Yann LeCun
  10. Alec Radford

Who trusts Huanru Henry Mao overall

  1. Yu-Siang Huang
  2. Andrew Brock

Papers from Huanru Henry Mao's perspective

Ordered by how strongly the researchers Huanru Henry Mao 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers