Ke Wang

Artificial Intelligence · Knowledge Discovery and Data Mining · 2003–2017

A researcher in the Science corpus: 8 papers; trusts 66 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Wang trusts overall

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

  1. Vijay S. Iyengar
  2. Latanya Sweeney
  3. Pierangela Samarati
  4. Cynthia Dwork
  5. Charu C. Aggarwal
  6. Jaideep Vaidya
  7. Xiaokui Xiao
  8. Philip S. Yu
  9. Yufei Tao
  10. Benjamin C. M. Fung

Who trusts Ke Wang overall

  1. Benjamin C. M. Fung
  2. Kristen LeFevre
  3. Philip S. Yu
  4. Charu C. Aggarwal
  5. Yufei Tao
  6. Xiaokui Xiao
  7. Tiancheng Li
  8. Raymond Chi-Wing Wong
  9. David J. DeWitt
  10. Rui Chen

Papers from Ke Wang's perspective

Ordered by how strongly the researchers Ke Wang 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. 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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers