Shuying Huang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuying Huang trusts overall

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

  1. Kaiming He
  2. Jiwon Kim
  3. Chao Dong
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. X. Zhang

Papers from Shuying Huang's perspective

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

Their papers