Biye Jiang

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 76 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Biye Jiang trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun
  3. David M. Blei
  4. Andrew Y. Ng
  5. Geoffrey E. Hinton
  6. Adam Coates
  7. Alex Krizhevsky
  8. James Bergstra
  9. Jeff Donahue
  10. John C. Duchi

Who trusts Biye Jiang overall

  1. Minsuk Kahng
  2. Peter Bhlmann
  3. Zheguang Zhao

Papers from Biye Jiang's perspective

Ordered by how strongly the researchers Biye Jiang 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Going deeper with convolutions

Their papers