Ke Wu

Graph Learning · with Yang · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Wu trusts overall

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

  1. Paul Ekman
  2. Thomas Gärtner
  3. David M. Blei
  4. Karsten M. Borgwardt
  5. S. V. N. Vishwanathan
  6. Sejeong Kwon
  7. David Haussler
  8. Andrew Y. Ng
  9. Michael I. Jordan
  10. Peter A. Flach

Who trusts Ke Wu overall

  1. Jing Ma
  2. Xinyi Zhou
  3. Zhiwei Jin
  4. Alessandro Bondielli
  5. Xinyi Zhou
  6. Wei Gao
  7. Juan Cao
  8. Francesco Marcelloni
  9. Reza Zafarani
  10. Kam-Fai Wong

Papers from Ke Wu's perspective

Ordered by how strongly the researchers Ke Wu 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Latent Dirichlet Allocation
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers