Chao Li

Artificial Intelligence · with Cao · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Li trusts overall

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

  1. Florin Curelaru
  2. Sepp Hochreiter
  3. Kaiming He
  4. Pegah Ghahremani
  5. Simon J. D. Prince
  6. Dennis G. Wilson
  7. Florian Schroff
  8. J. Urgen Schmidhuber
  9. Geoffrey E. Hinton
  10. Sandro Cumani

Who trusts Chao Li overall

  1. Detai Xin
  2. Mirco Ravanelli
  3. Weicheng Cai
  4. Zexin Cai
  5. Arsha Nagrani
  6. Yibin Zheng
  7. Koji Okabe
  8. Keon Lee
  9. Nils Holzenberger
  10. Andrew Gibiansky

Papers from Chao Li's perspective

Ordered by how strongly the researchers Chao Li 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. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers