Chang Lan

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chang Lan trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Andrew Zisserman
  7. Craig Gentry
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Dawn Song

Who trusts Chang Lan overall

  1. Vincenzo Eramo

Papers from Chang Lan's perspective

Ordered by how strongly the researchers Chang Lan 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. Attention is All you Need (Neural Information Processing Systems)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers