Fei Wu

AAAI Conference on Artificial Intelligence · with Gong · 2018

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

Whom Fei Wu trusts overall

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

  1. Alex Graves
  2. Junbo Zhang
  3. Tianqi Chen

Who trusts Fei Wu overall

  1. Haitao Yuan
  2. Matthew Veres
  3. Jie Feng

Papers from Fei Wu's perspective

Ordered by how strongly the researchers Fei Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Generating Sequences With Recurrent Neural Networks
  2. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. XGBoost: A Scalable Tree Boosting System
  9. LINE: Large-scale Information Network Embedding
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers