Jian Li

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 Jian Li trusts overall

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

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

Who trusts Jian Li overall

  1. Yulia Rubanova
  2. Juan Miguel Lopez Alcaraz
  3. Y. Tashiro
  4. Patrick Kidger

Papers from Jian Li's perspective

Ordered by how strongly the researchers Jian Li 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers