Sunghyun Park

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 4 papers; trusts 147 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sunghyun Park trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Kaiming He
  7. Yiming Yang
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Paul Ekman

Who trusts Sunghyun Park overall

  1. Percy Liang
  2. Amir Zadeh
  3. Louis-philippe Morency
  4. Minghai Chen
  5. Yansen Wang
  6. Wasifur Rahman
  7. Soujanya Poria
  8. Chengfeng Mao
  9. Ying Shen

Papers from Sunghyun Park's perspective

Ordered by how strongly the researchers Sunghyun Park 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers