Jean Feng

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jean Feng trusts overall

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

  1. Albert N. Shiryaev
  2. Charu C. Aggarwal
  3. Ewout W. Steyerberg
  4. Achim Zeileis
  5. Tze Leung Lai
  6. Stephan Rabanser
  7. Joaquin Quionero-Candela
  8. Diederik P. Kingma
  9. Eric R. Ziegel
  10. Geoffrey E. Hinton

Papers from Jean Feng's perspective

Ordered by how strongly the researchers Jean Feng 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers