Daokun Zhang

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Daokun Zhang trusts overall

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

  1. Lei Tang
  2. Geoffrey E. Hinton
  3. Mark Newman
  4. Yoshua Bengio
  5. Tomas Mikolov
  6. Shaosheng Cao
  7. Ilya Sutskever
  8. Bryan Perozzi
  9. Ruslan Salakhutdinov
  10. Alex Krizhevsky

Who trusts Daokun Zhang overall

  1. Shirui Pan
  2. Ruiqi Hu
  3. Feng Xia
  4. Guodong Long
  5. Jing Jiang
  6. Seyed Mehran Kazemi

Papers from Daokun Zhang's perspective

Ordered by how strongly the researchers Daokun Zhang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers