Jie Fu

Artificial Intelligence · with Zhang · 2016–2023

A researcher in the Science corpus: 12 papers; trusts 274 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Fu trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Kaiming He
  8. Alex Graves
  9. Ronald J. Williams
  10. Matthew D. Zeiler

Who trusts Jie Fu overall

  1. Hung-Jen Chen
  2. Leo Laugier

Papers from Jie Fu's perspective

Ordered by how strongly the researchers Jie Fu 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers