Jianfeng Zhou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianfeng Zhou trusts overall

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

  1. David Snyder
  2. Diederik P. Kingma
  3. Florin Curelaru
  4. Joon Son Chung
  5. Arsha Nagrani
  6. Kaiming He
  7. Daniel Povey
  8. Geoffrey E. Hinton
  9. Andrew Zisserman
  10. Alex Krizhevsky

Who trusts Jianfeng Zhou overall

  1. Jörgen Valk
  2. Zhongxin Bai
  3. Brecht Desplanques
  4. Tanel Alumäe
  5. Xiao-Lei Zhang
  6. Jenthe Thienpondt

Papers from Jianfeng Zhou's perspective

Ordered by how strongly the researchers Jianfeng 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers