Hokyung Kang

Radiology, Nuclear Medicine and Imaging · 2017

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

Subfields

Whom Hokyung Kang trusts overall

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

  1. Kunio Doi
  2. Yoshua Bengio

Papers from Hokyung Kang's perspective

Ordered by how strongly the researchers Hokyung Kang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers