Hongzhong Huang

Statistics and Probability · 2007–2019

A researcher in the Science corpus: 9 papers; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hongzhong Huang trusts overall

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

  1. Xiaoping Du
  2. Kalyanmoy Deb
  3. Way Kuo
  4. Beiqing Huang
  5. Paul J. Werbos
  6. Iroon Polytechniou
  7. M. Makkonen
  8. Diederik P. Kingma
  9. Xavier Glorot
  10. A. Der Kiureghian

Who trusts Hongzhong Huang overall

  1. Shun‐Peng Zhu
  2. N. Xiao
  3. J. Barbosa
  4. E. Santecchia

Papers from Hongzhong Huang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers