Zexin Cai

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Zexin Cai trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Graves
  4. David Snyder
  5. Diederik P. Kingma
  6. Andrew Zisserman
  7. Wei Ping
  8. Joon Son Chung
  9. Alex Krizhevsky
  10. Mike Schuster

Who trusts Zexin Cai overall

  1. Xu Tan
  2. Kyubyong Park
  3. Tao Qin
  4. Yang Zhang
  5. Frank K. Soong
  6. Arsha Nagrani
  7. Seanie Lee
  8. Weidi Xie
  9. Tie-Yan Liu
  10. Liqun Deng

Papers from Zexin Cai's perspective

Ordered by how strongly the researchers Zexin Cai 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers