Wei Cao

Artificial Intelligence · Neural Information Processing Systems · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Cao trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Sepp Hochreiter
  6. Robert Fildes
  7. Andrew P. Bradley
  8. Kaiming He
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Wei Cao overall

  1. Yulia Rubanova
  2. Juan Miguel Lopez Alcaraz
  3. Y. Tashiro
  4. Patrick Kidger
  5. Vincent Fortuin
  6. Nils Strodthoff
  7. Ricky T. Q. Chen
  8. Yuxuan Liang
  9. Jiaming Song
  10. James Morrill

Papers from Wei Cao's perspective

Ordered by how strongly the researchers Wei Cao 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers