Shuai Huang

Artificial Intelligence · with Ardywibowo · 2022

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuai Huang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yann LeCun
  6. Rahaf Aljundi
  7. Yoshua Bengio
  8. Max Welling
  9. Ilya Sutskever
  10. Radford M. Neal

Papers from Shuai Huang's perspective

Ordered by how strongly the researchers Shuai Huang 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. ImageNet: A large-scale hierarchical image database
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers