Hongkuan Zhou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hongkuan Zhou trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Rex Ying
  5. Yoshua Bengio
  6. William L. Hamilton
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Jure Leskovec

Who trusts Hongkuan Zhou overall

  1. Marinka Zitnik
  2. Pan Li
  3. Lukas Galke Poech
  4. Weihua Hu
  5. Kaixiong Zhou
  6. Yaochen Xie
  7. Eli Chien

Papers from Hongkuan Zhou's perspective

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

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

Their papers