Chang Li

Computer Vision and Pattern Recognition · with Chen · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chang Li trusts overall

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

  1. Diederik P. Kingma
  2. Sepp Hochreiter
  3. Jiayi Ma
  4. Geoffrey E. Hinton
  5. Bao-Liang Lu
  6. Yu Liu
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. J. Urgen Schmidhuber

Papers from Chang Li's perspective

Ordered by how strongly the researchers Chang Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers