Jing Wang

Artificial Intelligence · with Yang · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jing Wang trusts overall

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

  1. Mark Newman
  2. Geoffrey E. Hinton
  3. Michael I. Jordan
  4. Feiping Nie
  5. Andrew Y. Ng
  6. Sham M. Kakade
  7. Ulrike von Luxburg
  8. Yoshua Bengio
  9. René Vidal
  10. Alex Krizhevsky

Who trusts Jing Wang overall

  1. Shirui Pan

Papers from Jing Wang's perspective

Ordered by how strongly the researchers Jing Wang 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers