Bo-Jian Hou

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Bo-Jian Hou trusts overall

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

  1. Nicolò Cesa-Bianchi
  2. Martin A. Zinkevich
  3. Christopher K. I. Williams
  4. Curriculum Vitae
  5. Jeffrey Scott Vitter
  6. Pedro M. Domingos
  7. Nicholas I. Fisher
  8. Peter E. Rossi
  9. Gábor Lugosi
  10. Zhi-Hua Zhou

Who trusts Bo-Jian Hou overall

  1. Zhenyu Zhang
  2. Jingwen Ye
  3. Peng Zhao
  4. Zhi-Hua Zhou
  5. Yu-Hu Yan
  6. Yifang Fu

Papers from Bo-Jian Hou's perspective

Ordered by how strongly the researchers Bo-Jian Hou 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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers