Zhen-Hua Nie

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Zhen-Hua Nie trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Christian Szegedy
  4. Yann LeCun
  5. Ingrid Daubechies
  6. Sergey Ioffe
  7. Alex Krizhevsky
  8. L. V. D. van der Maaten
  9. Yoshua Bengio
  10. Jimmy Ba

Who trusts Zhen-Hua Nie overall

  1. Shengyuan Li
  2. Mohsen Azimi

Papers from Zhen-Hua Nie's perspective

Ordered by how strongly the researchers Zhen-Hua Nie trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers