Jingkang Wang

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingkang Wang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Sepp Hochreiter
  6. Yann LeCun
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Jimmy Ba

Papers from Jingkang Wang's perspective

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

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

Their papers