Chen Cai

Graph Learning · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Cai trusts overall

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

  1. William L. Hamilton
  2. Ali Rahimi
  3. Saurabh Verma
  4. Lingxiao Zhao
  5. Tian Xie
  6. Yoshua Bengio
  7. Felix Wu
  8. Meng Qu
  9. Qimai Li
  10. Nino Shervashidze

Who trusts Chen Cai overall

  1. Ruosong Ye
  2. Caiqi Zhang
  3. Matthias Fey

Papers from Chen Cai's perspective

Ordered by how strongly the researchers Chen 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. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers