Yukang Ding

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 275 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yukang Ding trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Kaiming He
  7. Karen Simonyan
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Yukang Ding overall

  1. Kuniaki Saito
  2. Zhun Zhong
  3. Jindong Wang
  4. Mei Wang
  5. Jiaolong Yang
  6. Yixiao Ge
  7. Jun Shu
  8. Aviral Kumar

Papers from Yukang Ding's perspective

Ordered by how strongly the researchers Yukang Ding 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers