Jianping Yin

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 70 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jianping Yin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Radford M. Neal
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Ross B. Girshick
  9. L. Eon Bottou
  10. Sergey Ioffe

Who trusts Jianping Yin overall

  1. En Zhu
  2. Xinwang Liu

Papers from Jianping Yin's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Et al

Their papers