Sae-Young Chung

Computer Networks and Communications · IEEE Transactions on Information Theory · 2000–2018

A researcher in the Science corpus: 8 papers; trusts 32 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Sae-Young Chung trusts overall

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

  1. Yair Weiss
  2. Claude E. Shannon
  3. T. Richardson
  4. von Madeleine Leidheiser
  5. Hesham El Gamal
  6. Dimitris J. Bertsimas
  7. Rüdiger L. Urbanke
  8. William T. Freeman
  9. John N. Tsitsiklis
  10. A. Roger Hammons Jr.

Who trusts Sae-Young Chung overall

  1. Angelos D. Liveris
  2. Jinghu Chen
  3. Dariush Divsalar
  4. Jeongseok Ha
  5. David L. Donoho
  6. Michael Yang
  7. Marc P. C. Fossorier
  8. Xiao-Yu Hu
  9. Zixiang Xiong
  10. Sundeep Rangan

Papers from Sae-Young Chung's perspective

Ordered by how strongly the researchers Sae-Young Chung trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers