Wook-Shin Han

Artificial Intelligence · 2012–2022

A researcher in the Science corpus: 5 papers; trusts 235 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Wook-Shin Han trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Huahai He
  4. Xifeng Yan
  5. Diederik P. Kingma
  6. Peixiang Zhao
  7. Ilya Sutskever
  8. Luke S. Zettlemoyer
  9. Jiawei Han
  10. Ronald J. Williams

Who trusts Wook-Shin Han overall

  1. Fei Bi
  2. Lijun Chang
  3. Kumar Kshitij Patel
  4. Mohammed Elseidy
  5. Xuemin Lin
  6. Swaroop Mishra

Papers from Wook-Shin Han's perspective

Ordered by how strongly the researchers Wook-Shin Han 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers