Min Du

Artificial Intelligence · with Song · 2019

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Min Du trusts overall

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

  1. Heiko Hoffmann
  2. Cynthia Dwork
  3. Tianyu Gu
  4. Huan Xu
  5. Karen Simonyan
  6. Diederik P. Kingma
  7. Min Du
  8. Geoffrey E. Hinton
  9. Wei Xu
  10. Jian-Guang Lou

Who trusts Min Du overall

  1. Yiming Li
  2. Eugene Bagdasarian
  3. Fanchao Qi
  4. Baoyuan Wu
  5. Vitaly Shmatikov

Papers from Min Du's perspective

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

Their papers