Erheng Zhong

Artificial Intelligence · 2010–2015

A researcher in the Science corpus: 3 papers; trusts 133 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Erheng Zhong trusts overall

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

  1. Yuhai Wu
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Masashi Sugiyama
  5. Alex Krizhevsky
  6. David G. Lowe
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Erheng Zhong overall

  1. Pedro H. O. Pinheiro
  2. Mingsheng Long
  3. Corinna Cortes
  4. Chaohui Yu
  5. Nicolas Courty
  6. Zhongyi Pei
  7. Christian S. Perone
  8. Werner Zellinger
  9. Gabriella Csurka
  10. Yaroslav Ganin

Papers from Erheng Zhong's perspective

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

Their papers