Jing Li

Artificial Intelligence · with Ren · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jing Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Ilya Sutskever
  5. Alex Graves
  6. Andriy Mnih
  7. Ruslan Salakhutdinov
  8. Kaiming He
  9. Sepp Hochreiter
  10. Yoshua Bengio

Who trusts Jing Li overall

  1. Xiangnan He
  2. Fei Sun
  3. Tianwen Chen
  4. Yupeng Hou
  5. Jun Xu
  6. Chen Ma
  7. Fei Mi
  8. Wayne Xin Zhao
  9. Shoujin Wang
  10. Ruihong Qiu

Papers from Jing Li's perspective

Ordered by how strongly the researchers Jing 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers