Yiwen Han

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yiwen Han trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Song Han
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Richard S. Sutton
  7. Kaiming He
  8. Diederik P. Kingma
  9. Volodymyr Mnih
  10. Matthew D. Zeiler

Who trusts Yiwen Han overall

  1. Ansam Khraisat
  2. Boyi Liu
  3. Khaled Bayoudh
  4. Haftay Gebreslasie Abreha
  5. Nguyen Binh Truong
  6. Minrui Xu
  7. H. Hua
  8. Dinh C. Nguyen
  9. Wei Yang Bryan Lim
  10. Ammar Alazab

Papers from Yiwen Han's perspective

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

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

Their papers