Jing Li

Computer Vision and Pattern Recognition · International Joint Conference on Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 85 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Li trusts overall

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

  1. Feiping Nie
  2. John M. Winn
  3. Abhishek Kumar
  4. Dima Damen
  5. Geoffrey E. Hinton
  6. Christopher K. I. Williams
  7. Yeqing Li
  8. Li Fei-Fei
  9. Michael I. Jordan
  10. Alex Krizhevsky

Who trusts Jing Li overall

  1. Hao Wang
  2. Yan Yang
  3. Feiping Nie
  4. Xiaoqiang Yan
  5. Bing Liu
  6. Xi Peng
  7. Yang Wang
  8. Yijie Lin
  9. Zheng Zhang
  10. Jie Xu

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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Et al

Their papers