Jin-Dong Dong

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jin-Dong Dong trusts overall

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

  1. Barret Zoph
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ronald J. Williams
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Quoc V. Le
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Jin-Dong Dong overall

  1. Xiangxiang Chu
  2. Thomas Elsken
  3. Dimitrios Stamoulis
  4. Ruijun Xu
  5. Jan Hendrik Metzen
  6. Chris Zhang
  7. Zhichao Lu
  8. Pengyu Zhao
  9. Chenxi Liu
  10. Zechun Liu

Papers from Jin-Dong Dong's perspective

Ordered by how strongly the researchers Jin-Dong Dong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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